---
OA_place: repository
OA_type: green
_id: '21135'
abstract:
- lang: eng
  text: Three-dimensional (3D) microscopy data is often anisotropic with significantly
    lower resolution (up to 8x) along the z axis than along the xy axes. Computationally
    generating plausible isotropic resolution from anisotropic imaging data would
    benefit the visual analysis of large-scale volumes. This paper proposes niiv,
    a self-supervised method for isotropic reconstruction of 3D microscopy data that
    can quickly produce images at arbitrary output resolutions. The representation
    embeds a learned latent code within a neural field that describes the implicit
    higher-resolution isotropic image region. We use an attention-guided latent interpolation
    approach, which allows flexible information exchange over a local latent neighborhood.
    Under isotropic volume assumptions, we self-supervise this representation on low-/high-resolution
    lateral image pairs to reconstruct an isotropic volume from low-resolution axial
    images. We evaluate our method on simulated and real anisotropic electron (EM)
    and light microscopy (LM) data. Compared to diffusion-based baselines, niiv shows
    improved reconstruction quality (+1 dB PSNR) and is over three orders of magnitude
    faster (1,000x) to infer. Specifically, niiv reconstructs a 128^3 voxel volume
    in 2/10th of a second, renderable at varying (continuous) high resolutions for
    display. Our code is available at https://github.com/jakobtroidl/niiv-miccai.
acknowledgement: This work was supported by NIH grants 1U01NS132158 and R01HD104969.
  We thank the reviewers for their constructive feedback.
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Jakob
  full_name: Troidl, Jakob
  last_name: Troidl
- first_name: Yiqing
  full_name: Liang, Yiqing
  last_name: Liang
- first_name: Johanna
  full_name: Beyer, Johanna
  last_name: Beyer
- first_name: Mojtaba
  full_name: Tavakoli, Mojtaba
  id: 3A0A06F4-F248-11E8-B48F-1D18A9856A87
  last_name: Tavakoli
  orcid: 0000-0002-7667-6854
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
- first_name: Markus
  full_name: Hadwiger, Markus
  last_name: Hadwiger
- first_name: Hanspeter
  full_name: Pfister, Hanspeter
  last_name: Pfister
- first_name: James
  full_name: Tompkin, James
  last_name: Tompkin
citation:
  ama: 'Troidl J, Liang Y, Beyer J, et al. niiv: Interactive Self-supervised Neural
    Implicit Isotropic Volume Reconstruction. In: <i>1st International Workshop on
    Efficient Medical Artificial Intelligence</i>. Vol 16318. Springer Nature; 2026:257-267.
    doi:<a href="https://doi.org/10.1007/978-3-032-13961-0_26">10.1007/978-3-032-13961-0_26</a>'
  apa: 'Troidl, J., Liang, Y., Beyer, J., Tavakoli, M., Danzl, J. G., Hadwiger, M.,
    … Tompkin, J. (2026). niiv: Interactive Self-supervised Neural Implicit Isotropic
    Volume Reconstruction. In <i>1st International Workshop on Efficient Medical Artificial
    Intelligence</i> (Vol. 16318, pp. 257–267). Daejeon, South Korea: Springer Nature.
    <a href="https://doi.org/10.1007/978-3-032-13961-0_26">https://doi.org/10.1007/978-3-032-13961-0_26</a>'
  chicago: 'Troidl, Jakob, Yiqing Liang, Johanna Beyer, Mojtaba Tavakoli, Johann G
    Danzl, Markus Hadwiger, Hanspeter Pfister, and James Tompkin. “Niiv: Interactive
    Self-Supervised Neural Implicit Isotropic Volume Reconstruction.” In <i>1st International
    Workshop on Efficient Medical Artificial Intelligence</i>, 16318:257–67. Springer
    Nature, 2026. <a href="https://doi.org/10.1007/978-3-032-13961-0_26">https://doi.org/10.1007/978-3-032-13961-0_26</a>.'
  ieee: 'J. Troidl <i>et al.</i>, “niiv: Interactive Self-supervised Neural Implicit
    Isotropic Volume Reconstruction,” in <i>1st International Workshop on Efficient
    Medical Artificial Intelligence</i>, Daejeon, South Korea, 2026, vol. 16318, pp.
    257–267.'
  ista: 'Troidl J, Liang Y, Beyer J, Tavakoli M, Danzl JG, Hadwiger M, Pfister H,
    Tompkin J. 2026. niiv: Interactive Self-supervised Neural Implicit Isotropic Volume
    Reconstruction. 1st International Workshop on Efficient Medical Artificial Intelligence.
    EMA4MICCAI: Efficient Medical Artificial Intelligence, LNCS, vol. 16318, 257–267.'
  mla: 'Troidl, Jakob, et al. “Niiv: Interactive Self-Supervised Neural Implicit Isotropic
    Volume Reconstruction.” <i>1st International Workshop on Efficient Medical Artificial
    Intelligence</i>, vol. 16318, Springer Nature, 2026, pp. 257–67, doi:<a href="https://doi.org/10.1007/978-3-032-13961-0_26">10.1007/978-3-032-13961-0_26</a>.'
  short: J. Troidl, Y. Liang, J. Beyer, M. Tavakoli, J.G. Danzl, M. Hadwiger, H. Pfister,
    J. Tompkin, in:, 1st International Workshop on Efficient Medical Artificial Intelligence,
    Springer Nature, 2026, pp. 257–267.
conference:
  end_date: 2025-09-23
  location: Daejeon, South Korea
  name: 'EMA4MICCAI: Efficient Medical Artificial Intelligence'
  start_date: 2025-09-23
date_created: 2026-02-01T23:01:44Z
date_published: 2026-01-03T00:00:00Z
date_updated: 2026-02-16T08:50:50Z
day: '03'
department:
- _id: JoDa
doi: 10.1007/978-3-032-13961-0_26
fulldoi: https://doi.org/10.1007/978-3-032-13961-0_26
intvolume: '     16318'
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1101/2024.09.07.611785
month: '01'
oa: 1
oa_version: Preprint
page: 257-267
publication: 1st International Workshop on Efficient Medical Artificial Intelligence
publication_identifier:
  eissn:
  - 1611-3349
  isbn:
  - '9783032139603'
  issn:
  - 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  link:
  - relation: software
    url: https://github.com/jakobtroidl/niiv-miccai
scopus_import: '1'
status: public
title: 'niiv: Interactive Self-supervised Neural Implicit Isotropic Volume Reconstruction'
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 16318
year: '2026'
...
---
OA_place: repository
OA_type: gold
_id: '18697'
abstract:
- lang: eng
  text: The information-processing capability of the brain’s cellular network depends
    on the physical wiring pattern between neurons and their molecular and functional
    characteristics. Mapping neurons and resolving their individual synaptic connections
    can be achieved by volumetric imaging at nanoscale resolution with dense cellular
    labelling. Light microscopy is uniquely positioned to visualize specific molecules
    but dense, synapse-level circuit reconstruction by light microscopy has been out
    of reach due to limitations in resolution, contrast, and volumetric imaging capability.
    Here we developed light-microscopy based connectomics (LICONN). We integrated
    specifically engineered hydrogel embedding and expansion with comprehensive deep-learning
    based segmentation and analysis of connectivity, thus directly incorporating molecular
    information in synapse-level brain tissue reconstructions. LICONN will allow synapse-level
    brain tissue phenotyping in biological experiments in a readily adoptable manner.
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
- _id: ScienComp
- _id: PreCl
- _id: M-Shop
- _id: E-Lib
article_processing_charge: No
author:
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
- first_name: Julia
  full_name: Lyudchik, Julia
  id: 46E28B80-F248-11E8-B48F-1D18A9856A87
  last_name: Lyudchik
- first_name: Caroline
  full_name: Kreuzinger, Caroline
  id: 382077BA-F248-11E8-B48F-1D18A9856A87
  last_name: Kreuzinger
citation:
  ama: Danzl JG, Lyudchik J, Kreuzinger C. Light-microscopy based connectomic reconstruction
    of mammalian brain tissue. 2025. doi:<a href="https://doi.org/10.15479/AT:ISTA:18697">10.15479/AT:ISTA:18697</a>
  apa: Danzl, J. G., Lyudchik, J., &#38; Kreuzinger, C. (2025). Light-microscopy based
    connectomic reconstruction of mammalian brain tissue. Institute of Science and
    Technology Austria. <a href="https://doi.org/10.15479/AT:ISTA:18697">https://doi.org/10.15479/AT:ISTA:18697</a>
  chicago: Danzl, Johann G, Julia Lyudchik, and Caroline Kreuzinger. “Light-Microscopy
    Based Connectomic Reconstruction of Mammalian Brain Tissue.” Institute of Science
    and Technology Austria, 2025. <a href="https://doi.org/10.15479/AT:ISTA:18697">https://doi.org/10.15479/AT:ISTA:18697</a>.
  ieee: J. G. Danzl, J. Lyudchik, and C. Kreuzinger, “Light-microscopy based connectomic
    reconstruction of mammalian brain tissue.” Institute of Science and Technology
    Austria, 2025.
  ista: Danzl JG, Lyudchik J, Kreuzinger C. 2025. Light-microscopy based connectomic
    reconstruction of mammalian brain tissue, Institute of Science and Technology
    Austria, <a href="https://doi.org/10.15479/AT:ISTA:18697">10.15479/AT:ISTA:18697</a>.
  mla: Danzl, Johann G., et al. <i>Light-Microscopy Based Connectomic Reconstruction
    of Mammalian Brain Tissue</i>. Institute of Science and Technology Austria, 2025,
    doi:<a href="https://doi.org/10.15479/AT:ISTA:18697">10.15479/AT:ISTA:18697</a>.
  short: J.G. Danzl, J. Lyudchik, C. Kreuzinger, (2025).
contributor:
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  first_name: Mojtaba
  id: 3A0A06F4-F248-11E8-B48F-1D18A9856A87
  last_name: Tavakoli
  orcid: 0000-0002-7667-6854
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  id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87
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  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
corr_author: '1'
date_created: 2024-12-20T09:22:20Z
date_published: 2025-03-03T00:00:00Z
date_updated: 2026-04-28T13:33:34Z
day: '03'
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fulldoi: https://doi.org/10.15479/AT:ISTA:18697
has_accepted_license: '1'
license: https://creativecommons.org/licenses/by-nc-sa/4.0/
month: '03'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
related_material:
  link:
  - description: Original datasets of large size (>10GB) and datasets in zarr/n5/ims/npz
      format are provided via this external link.
    relation: research_data
    url: https://pub.ista.ac.at/group_danzl/data/LICONN/
  record:
  - id: '19704'
    relation: used_in_publication
    status: public
status: public
title: Light-microscopy based connectomic reconstruction of mammalian brain tissue
tmp:
  image: /images/cc_by_nc_sa.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
    BY-NC-SA 4.0)
  short: CC BY-NC-SA (4.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2025'
...
---
_id: '18837'
abstract:
- lang: eng
  text: Super-resolution methods provide far better spatial resolution than the optical
    diffraction limit of about half the wavelength of light (∼200-300 nm). Nevertheless,
    they have yet to attain widespread use in plants, largely due to plants’ challenging
    optical properties. Expansion microscopy improves effective resolution by isotropically
    increasing the physical distances between sample structures while preserving relative
    spatial arrangements and clearing the sample. However, its application to plants
    has been hindered by the rigid, mechanically cohesive structure of plant tissues.
    Here, we report on whole-mount expansion microscopy of thale cress (Arabidopsis
    thaliana) root tissues (PlantEx), achieving a four-fold resolution increase over
    conventional microscopy. Our results highlight the microtubule cytoskeleton organization
    and interaction between molecularly defined cellular constituents. Combining PlantEx
    with stimulated emission depletion (STED) microscopy, we increase nanoscale resolution
    and visualize the complex organization of subcellular organelles from intact tissues
    by example of the densely packed COPI-coated vesicles associated with the Golgi
    apparatus and put these into a cellular structural context. Our results show that
    expansion microscopy can be applied to increase effective imaging resolution in
    Arabidopsis root specimens.
article_processing_charge: No
author:
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
- first_name: Caroline
  full_name: Kreuzinger, Caroline
  id: 382077BA-F248-11E8-B48F-1D18A9856A87
  last_name: Kreuzinger
citation:
  ama: Danzl JG, Kreuzinger C. Research Data for the publication “Super-resolution
    expansion microscopy in plant roots.” 2025. doi:<a href="https://doi.org/10.15479/AT:ISTA:18837">10.15479/AT:ISTA:18837</a>
  apa: Danzl, J. G., &#38; Kreuzinger, C. (2025). Research Data for the publication
    “Super-resolution expansion microscopy in plant roots.” Institute of Science and
    Technology Austria. <a href="https://doi.org/10.15479/AT:ISTA:18837">https://doi.org/10.15479/AT:ISTA:18837</a>
  chicago: Danzl, Johann G, and Caroline Kreuzinger. “Research Data for the Publication
    ‘Super-Resolution Expansion Microscopy in Plant Roots.’” Institute of Science
    and Technology Austria, 2025. <a href="https://doi.org/10.15479/AT:ISTA:18837">https://doi.org/10.15479/AT:ISTA:18837</a>.
  ieee: J. G. Danzl and C. Kreuzinger, “Research Data for the publication ‘Super-resolution
    expansion microscopy in plant roots.’” Institute of Science and Technology Austria,
    2025.
  ista: Danzl JG, Kreuzinger C. 2025. Research Data for the publication ‘Super-resolution
    expansion microscopy in plant roots’, Institute of Science and Technology Austria,
    <a href="https://doi.org/10.15479/AT:ISTA:18837">10.15479/AT:ISTA:18837</a>.
  mla: Danzl, Johann G., and Caroline Kreuzinger. <i>Research Data for the Publication
    “Super-Resolution Expansion Microscopy in Plant Roots.”</i> Institute of Science
    and Technology Austria, 2025, doi:<a href="https://doi.org/10.15479/AT:ISTA:18837">10.15479/AT:ISTA:18837</a>.
  short: J.G. Danzl, C. Kreuzinger, (2025).
contributor:
- contributor_type: researcher
  first_name: Michelle C
  id: 35A03822-F248-11E8-B48F-1D18A9856A87
  last_name: Gallei
  orcid: 0000-0003-1286-7368
- contributor_type: researcher
  first_name: Sven M
  id: 45812BD4-F248-11E8-B48F-1D18A9856A87
  last_name: Truckenbrodt
- contributor_type: researcher
  first_name: Caroline
  id: 382077BA-F248-11E8-B48F-1D18A9856A87
  last_name: Kreuzinger
- contributor_type: researcher
  first_name: Syamala
  id: F8660870-D756-11E9-98C5-34DFE5697425
  last_name: Inumella
- contributor_type: researcher
  first_name: Vitali
  id: 7e146587-8972-11ed-ae7b-d7a32ea86a81
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file_date_updated: 2025-03-07T11:09:13Z
fulldoi: https://doi.org/10.15479/AT:ISTA:18837
has_accepted_license: '1'
license: https://creativecommons.org/licenses/by-nc/4.0/
month: '04'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '19003'
    relation: used_in_publication
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status: public
title: Research Data for the publication "Super-resolution expansion microscopy in
  plant roots"
tmp:
  image: /images/cc_by_nc.png
  legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
  short: CC BY-NC (4.0)
type: research_data
user_id: 68b8ca59-c5b3-11ee-8790-cd641c68093d
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '19704'
abstract:
- lang: eng
  text: The information-processing capability of the brain’s cellular network depends
    on the physical wiring pattern between neurons and their molecular and functional
    characteristics. Mapping neurons and resolving their individual synaptic connections
    can be achieved by volumetric imaging at nanoscale resolution1,2 with dense cellular
    labelling. Light microscopy is uniquely positioned to visualize specific molecules,
    but dense, synapse-level circuit reconstruction by light microscopy has been out
    of reach, owing to limitations in resolution, contrast and volumetric imaging
    capability. Here we describe light-microscopy-based connectomics (LICONN). We
    integrated specifically engineered hydrogel embedding and expansion with comprehensive
    deep-learning-based segmentation and analysis of connectivity, thereby directly
    incorporating molecular information into synapse-level reconstructions of brain
    tissue. LICONN will allow synapse-level phenotyping of brain tissue in biological
    experiments in a readily adoptable manner.
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
- _id: ScienComp
- _id: PreCl
- _id: M-Shop
- _id: E-Lib
acknowledgement: 'We thank S. Dorkenwald and P. Li for critical reading of the manuscript,
  S. Loomba for discussions and E. Miguel for support with data handling. We acknowledge
  support from ISTA’s scientific service units: Imaging and Optics, Lab Support, Scientific
  Computing, the preclinical facility, the Miba Machine Shop and the library. We acknowledge
  funding from the following sources: Austrian Science Fund (FWF) grant DK W1232 (J.G.D.
  and M.R.T.); Austrian Academy of Sciences DOC fellowship 26137 (M.R.T.); Gesellschaft
  für Forschungsförderung NÖ (NFB) grant LSC18-022 (J.G.D.); the European Union’s
  Horizon 2020 research and innovation programme and Marie Skłodowska-Curie Actions
  Fellowship 665385 (J.L.); and the European Union’s Horizon 2020 research and innovation
  programme and European Research Council (ERC) grant 101044865 ‘SecretAutism’ (G.N.).Open
  access funding provided by Institute of Science and Technology (IST Austria).'
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Mojtaba
  full_name: Tavakoli, Mojtaba
  id: 3A0A06F4-F248-11E8-B48F-1D18A9856A87
  last_name: Tavakoli
  orcid: 0000-0002-7667-6854
- first_name: Julia
  full_name: Lyudchik, Julia
  id: 46E28B80-F248-11E8-B48F-1D18A9856A87
  last_name: Lyudchik
- first_name: Michał
  full_name: Januszewski, Michał
  last_name: Januszewski
- first_name: Vitali
  full_name: Vistunou, Vitali
  id: 7e146587-8972-11ed-ae7b-d7a32ea86a81
  last_name: Vistunou
- first_name: Nathalie
  full_name: Agudelo Duenas, Nathalie
  id: 40E7F008-F248-11E8-B48F-1D18A9856A87
  last_name: Agudelo Duenas
- first_name: Jakob
  full_name: Vorlaufer, Jakob
  id: 937696FA-C996-11E9-8C7C-CF13E6697425
  last_name: Vorlaufer
  orcid: 0009-0000-7590-3501
- first_name: Christoph M
  full_name: Sommer, Christoph M
  id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87
  last_name: Sommer
  orcid: 0000-0003-1216-9105
- first_name: Caroline
  full_name: Kreuzinger, Caroline
  id: 382077BA-F248-11E8-B48F-1D18A9856A87
  last_name: Kreuzinger
- first_name: Bárbara
  full_name: Oliveira, Bárbara
  id: 3B03AA1A-F248-11E8-B48F-1D18A9856A87
  last_name: Oliveira
- first_name: Alban
  full_name: Cenameri, Alban
  id: 9ac8f577-2357-11eb-997a-e566c5550886
  last_name: Cenameri
- first_name: Gaia
  full_name: Novarino, Gaia
  id: 3E57A680-F248-11E8-B48F-1D18A9856A87
  last_name: Novarino
  orcid: 0000-0002-7673-7178
- first_name: Viren
  full_name: Jain, Viren
  last_name: Jain
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
citation:
  ama: Tavakoli M, Lyudchik J, Januszewski M, et al. Light-microscopy-based connectomic
    reconstruction of mammalian brain tissue. <i>Nature</i>. 2025;642:398-410. doi:<a
    href="https://doi.org/10.1038/s41586-025-08985-1">10.1038/s41586-025-08985-1</a>
  apa: Tavakoli, M., Lyudchik, J., Januszewski, M., Vistunou, V., Agudelo Duenas,
    N., Vorlaufer, J., … Danzl, J. G. (2025). Light-microscopy-based connectomic reconstruction
    of mammalian brain tissue. <i>Nature</i>. Springer Nature. <a href="https://doi.org/10.1038/s41586-025-08985-1">https://doi.org/10.1038/s41586-025-08985-1</a>
  chicago: Tavakoli, Mojtaba, Julia Lyudchik, Michał Januszewski, Vitali Vistunou,
    Nathalie Agudelo Duenas, Jakob Vorlaufer, Christoph M Sommer, et al. “Light-Microscopy-Based
    Connectomic Reconstruction of Mammalian Brain Tissue.” <i>Nature</i>. Springer
    Nature, 2025. <a href="https://doi.org/10.1038/s41586-025-08985-1">https://doi.org/10.1038/s41586-025-08985-1</a>.
  ieee: M. Tavakoli <i>et al.</i>, “Light-microscopy-based connectomic reconstruction
    of mammalian brain tissue,” <i>Nature</i>, vol. 642. Springer Nature, pp. 398–410,
    2025.
  ista: Tavakoli M, Lyudchik J, Januszewski M, Vistunou V, Agudelo Duenas N, Vorlaufer
    J, Sommer CM, Kreuzinger C, Oliveira B, Cenameri A, Novarino G, Jain V, Danzl
    JG. 2025. Light-microscopy-based connectomic reconstruction of mammalian brain
    tissue. Nature. 642, 398–410.
  mla: Tavakoli, Mojtaba, et al. “Light-Microscopy-Based Connectomic Reconstruction
    of Mammalian Brain Tissue.” <i>Nature</i>, vol. 642, Springer Nature, 2025, pp.
    398–410, doi:<a href="https://doi.org/10.1038/s41586-025-08985-1">10.1038/s41586-025-08985-1</a>.
  short: M. Tavakoli, J. Lyudchik, M. Januszewski, V. Vistunou, N. Agudelo Duenas,
    J. Vorlaufer, C.M. Sommer, C. Kreuzinger, B. Oliveira, A. Cenameri, G. Novarino,
    V. Jain, J.G. Danzl, Nature 642 (2025) 398–410.
corr_author: '1'
date_created: 2025-05-18T22:02:51Z
date_published: 2025-06-12T00:00:00Z
date_updated: 2026-10-02T09:59:44Z
day: '12'
ddc:
- '570'
department:
- _id: JoDa
- _id: GradSch
- _id: Bio
- _id: GaNo
doi: 10.1038/s41586-025-08985-1
ec_funded: 1
external_id:
  isi:
  - '001483477000001'
  pmid:
  - '40335689'
file:
- access_level: open_access
  checksum: ebc99d7108e728f46db0a009292675ef
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  creator: dernst
  date_created: 2025-07-03T06:55:20Z
  date_updated: 2025-07-03T06:55:20Z
  file_id: '19959'
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  success: 1
file_date_updated: 2025-07-03T06:55:20Z
fulldoi: https://doi.org/10.1038/s41586-025-08985-1
has_accepted_license: '1'
intvolume: '       642'
isi: 1
language:
- iso: eng
license: https://creativecommons.org/licenses/by/4.0/
month: '06'
oa: 1
oa_version: Published Version
page: 398-410
pmid: 1
project:
- _id: 6285a163-2b32-11ec-9570-8e204ca2dba5
  grant_number: '26137'
  name: Studying Organelle Structure and Function at Nanoscale Resolution with Expansion
    Microscopy
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
- _id: 34ba8964-11ca-11ed-8bc3-e15864e7e9a6
  grant_number: '101044865'
  name: Toward an understanding of the brain interstitial system and the extracellular
    proteome in health and autism spectrum disorders
- _id: 26AA4EF2-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: W1232-B24
  name: Molecular Drug Targets
publication: Nature
publication_identifier:
  eissn:
  - 1476-4687
  issn:
  - 0028-0836
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  link:
  - description: News on ISTA website
    relation: press_release
    url: https://ista.ac.at/en/news/piecing-together-the-brain-puzzle/
  record:
  - id: '18697'
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    status: public
  - id: '18677'
    relation: earlier_version
    status: public
scopus_import: '1'
status: public
title: Light-microscopy-based connectomic reconstruction of mammalian brain tissue
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 642
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
_id: '18879'
abstract:
- lang: eng
  text: 'Our brain has remarkable computational power, generating sophisticated behaviors,
    storing memories over an individual’s lifetime, and producing higher cognitive
    functions. However, little of our neuroscience knowledge covers the human brain.
    Is this organ truly unique, or is it a scaled version of the extensively studied
    rodent brain? Combining multicellular patch-clamp recording with expansion-based
    superresolution microscopy and full-scale modeling, we determined the cellular
    and microcircuit properties of the human hippocampal CA3 region, a fundamental
    circuit for memory storage. In contrast to neocortical networks, human hippocampal
    CA3 displayed sparse connectivity, providing a circuit architecture that maximizes
    associational power. Human synapses showed unique reliability, high precision,
    and long integration times, exhibiting both species- and circuit-specific properties.
    Together with expanded neuronal numbers, these circuit characteristics greatly
    enhanced the memory storage capacity of CA3. Our results reveal distinct microcircuit
    properties of the human hippocampus and begin to unravel the inner workings of
    our most complex organ. '
acknowledged_ssus:
- _id: Bio
- _id: PreCl
- _id: LifeSc
- _id: M-Shop
- _id: ScienComp
acknowledgement: We thank Florian Marr for excellent technical assistance, Christina
  Altmutter and Julia Flor for technical support, Alois Schlögl for programming, Todor
  Asenov for development of the transportation box for human brain tissue, Tim Vogels
  for guidance on simulations, Marcus Huber for mathematical advice, Walter Kaufmann
  for assistance with handling frozen tissue, and Eleftheria Kralli-Beller for manuscript
  editing. This research was supported by the Scientific Services Units (SSUs) of
  ISTA, and we are grateful for assistance from Christoph Sommer and the Imaging and
  Optics Facility, Preclinical Facility, Lab Support Facility, Miba Machine Shop,
  and Scientific Computing. We are particularly grateful to the patient donors for
  their support of this project and also acknowledge the excellent support of the
  Medical University of Vienna Department of Neurosurgery staff; Romana Hoeftberger
  and the Division of Neuropathology and Neurochemistry; Gregor Kasprian and the Division
  of Neuroradiology and Musculoskeletal Radiology; and Christoph Baumgartner, Martha
  Feucht, and Ekaterina Pataraia for their clinical care of the patients included
  in this study. We thank Laura Jonkman, the NABCA biobank, and postmortem brain sample
  donors for their support of this research. The project received funding from the
  European Research Council (ERC) under the European Union’s Horizon 2020 research
  and innovation programme (advanced grant no. 692692 to P.J. and Marie Skłodowska-Curie
  Actions Individual Fellowship no. 101026635 to J.F.W.), the Austrian Science Fund
  (FWF; grant PAT 4178023 to P.J. and grant DK W1232 to M.R.T. and J.G.D.), the Austrian
  Academy of Sciences (DOC fellowship 26137 to M.R.T.), and a NOMIS-ISTA fellowship
  (to A.N.-O.).
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Jake
  full_name: Watson, Jake
  id: 63836096-4690-11EA-BD4E-32803DDC885E
  last_name: Watson
  orcid: 0000-0002-8698-3823
- first_name: Victor M
  full_name: Vargas Barroso, Victor M
  id: 2F55A9DE-F248-11E8-B48F-1D18A9856A87
  last_name: Vargas Barroso
- first_name: Rebecca
  full_name: Morse, Rebecca
  id: ceb89ae7-dc8d-11ea-abe3-da3301d0eab4
  last_name: Morse
- first_name: Andrea C
  full_name: Navas Olivé, Andrea C
  id: 739d26c9-52e8-11ee-8d72-f14d3893b4ce
  last_name: Navas Olivé
  orcid: 0000-0002-9280-8597
- first_name: Mojtaba
  full_name: Tavakoli, Mojtaba
  id: 3A0A06F4-F248-11E8-B48F-1D18A9856A87
  last_name: Tavakoli
  orcid: 0000-0002-7667-6854
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
- first_name: Matthias
  full_name: Tomschik, Matthias
  last_name: Tomschik
- first_name: Karl
  full_name: Rössler, Karl
  last_name: Rössler
- first_name: Peter M
  full_name: Jonas, Peter M
  id: 353C1B58-F248-11E8-B48F-1D18A9856A87
  last_name: Jonas
  orcid: 0000-0001-5001-4804
citation:
  ama: Watson J, Vargas Barroso VM, Morse R, et al. Human hippocampal CA3 uses specific
    functional connectivity rules for efficient associative memory. <i>Cell</i>. 2025;188(2):501-514.e18.
    doi:<a href="https://doi.org/10.1016/j.cell.2024.11.022">10.1016/j.cell.2024.11.022</a>
  apa: Watson, J., Vargas Barroso, V. M., Morse, R., Navas Olivé, A. C., Tavakoli,
    M., Danzl, J. G., … Jonas, P. M. (2025). Human hippocampal CA3 uses specific functional
    connectivity rules for efficient associative memory. <i>Cell</i>. Cell Press.
    <a href="https://doi.org/10.1016/j.cell.2024.11.022">https://doi.org/10.1016/j.cell.2024.11.022</a>
  chicago: Watson, Jake, Victor M Vargas Barroso, Rebecca Morse, Andrea C Navas Olivé,
    Mojtaba Tavakoli, Johann G Danzl, Matthias Tomschik, Karl Rössler, and Peter M
    Jonas. “Human Hippocampal CA3 Uses Specific Functional Connectivity Rules for
    Efficient Associative Memory.” <i>Cell</i>. Cell Press, 2025. <a href="https://doi.org/10.1016/j.cell.2024.11.022">https://doi.org/10.1016/j.cell.2024.11.022</a>.
  ieee: J. Watson <i>et al.</i>, “Human hippocampal CA3 uses specific functional connectivity
    rules for efficient associative memory,” <i>Cell</i>, vol. 188, no. 2. Cell Press,
    p. 501–514.e18, 2025.
  ista: Watson J, Vargas Barroso VM, Morse R, Navas Olivé AC, Tavakoli M, Danzl JG,
    Tomschik M, Rössler K, Jonas PM. 2025. Human hippocampal CA3 uses specific functional
    connectivity rules for efficient associative memory. Cell. 188(2), 501–514.e18.
  mla: Watson, Jake, et al. “Human Hippocampal CA3 Uses Specific Functional Connectivity
    Rules for Efficient Associative Memory.” <i>Cell</i>, vol. 188, no. 2, Cell Press,
    2025, p. 501–514.e18, doi:<a href="https://doi.org/10.1016/j.cell.2024.11.022">10.1016/j.cell.2024.11.022</a>.
  short: J. Watson, V.M. Vargas Barroso, R. Morse, A.C. Navas Olivé, M. Tavakoli,
    J.G. Danzl, M. Tomschik, K. Rössler, P.M. Jonas, Cell 188 (2025) 501–514.e18.
corr_author: '1'
date_created: 2025-01-26T23:01:49Z
date_published: 2025-01-23T00:00:00Z
date_updated: 2026-10-20T08:20:04Z
day: '23'
ddc:
- '570'
department:
- _id: JoDa
- _id: PeJo
- _id: GradSch
doi: 10.1016/j.cell.2024.11.022
ec_funded: 1
external_id:
  isi:
  - '001408395600001'
  pmid:
  - '39667938'
file:
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  checksum: d5a818edc32d249cdf75e1bb5b70a4b7
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  creator: dernst
  date_created: 2025-01-27T08:46:33Z
  date_updated: 2025-01-27T08:46:33Z
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fulldoi: https://doi.org/10.1016/j.cell.2024.11.022
has_accepted_license: '1'
intvolume: '       188'
isi: 1
issue: '2'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
page: 501-514.e18
pmid: 1
project:
- _id: 25B7EB9E-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '692692'
  name: Biophysics and circuit function of a giant cortical glutamatergic synapse
- _id: fc2be41b-9c52-11eb-aca3-faa90aa144e9
  call_identifier: H2020
  grant_number: '101026635'
  name: Synaptic computations of the hippocampal CA3 circuitry
- _id: 6285a163-2b32-11ec-9570-8e204ca2dba5
  grant_number: '26137'
  name: Studying Organelle Structure and Function at Nanoscale Resolution with Expansion
    Microscopy
- _id: 2548AE96-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: W1232
  name: Molecular Drug Targets
- _id: 8d9195e9-16d5-11f0-9cad-d075be887a1e
  grant_number: PAT 4178023
  name: Synaptic networks of human brain
- _id: 9B861AAC-BA93-11EA-9121-9846C619BF3A
  name: NOMIS Fellowship Program
publication: Cell
publication_identifier:
  eissn:
  - 1097-4172
  issn:
  - 0092-8674
publication_status: published
publisher: Cell Press
quality_controlled: '1'
related_material:
  record:
  - id: '18688'
    relation: earlier_version
    status: public
scopus_import: '1'
status: public
title: Human hippocampal CA3 uses specific functional connectivity rules for efficient
  associative memory
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 188
year: '2025'
...
---
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
_id: '19795'
abstract:
- lang: eng
  text: Super-resolution microscopy often entails long acquisition times of minutes
    to hours. Since drifts during the acquisition adversely affect data quality, active
    sample stabilization is commonly used for some of these techniques to reach their
    full potential. Although drifts in the lateral plane can often be corrected after
    acquisition, this is not always possible or may come with drawbacks. Therefore,
    it is appealing to stabilize sample position in three dimensions (3D) during acquisition.
    Various schemes for active sample stabilization have been demonstrated previously,
    with some reaching sub-nanometer stability in 3D. Here, we present a scheme for
    active drift correction that delivers the nanometer-scale 3D stability demanded
    by state-of-the-art super-resolution techniques and is straightforward to implement
    compared to previous schemes capable of reaching this level of stabilization precision.
    Using a refined algorithm that can handle various types of reference structure,
    without sparse signal peaks being mandatory, we stabilized sample position to
    ∼1 nm in 3D using objective lenses both with high and low numerical aperture.
    Our implementation requires only the addition of a simple widefield imaging path
    and we provide an open-source control software with graphical user interface to
    facilitate easy adoption of the module. Finally, we demonstrate how this has the
    potential to enhance data collection for diffraction-limited and super-resolution
    imaging techniques using single-molecule localization microscopy and cryo-confocal
    imaging as showcases.
acknowledged_ssus:
- _id: M-Shop
- _id: EM-Fac
- _id: LifeSc
acknowledgement: 'We acknowledge expert support by ISTA’s scientific service units,
  including the Miba Machine Shop, the Electron Microscopy Facility, and the Lab Support
  Facility. This work has been made possible in part by CZI grant DAF2021-234754 and
  grant DOI: https://doi.org/10.37921/812628ebpcwg from the Chan Zuckerberg Initiative
  DAF, an advised fund of Silicon Valley Community Foundation (funder DOI: https://doi.org/10.13039/100014989)
  (F.K.M.S. and J.G.D.). We further gratefully acknowledge funding by the following
  sources: Austrian Science Fund (FWF) grant DK W1232 (M.R.T. and J.G.D.); Austrian
  Academy of Sciences DOC fellowship 26137 (M.R.T.); Marie Skłodowska-Curie Actions
  Fellowship GA no. 665385 under the EU Horizon 2020 program (J.L.); ISTA postdoctoral
  fellowship IST fellow (A.W.); and Human Frontier Science Program postdoctoral fellowship
  LT000557/2018 (W.J.).'
article_number: '100211'
article_processing_charge: Yes
article_type: original
author:
- first_name: Jakob
  full_name: Vorlaufer, Jakob
  id: 937696FA-C996-11E9-8C7C-CF13E6697425
  last_name: Vorlaufer
  orcid: 0009-0000-7590-3501
- first_name: Nikolai
  full_name: Semenov, Nikolai
  id: e64d39c7-72ef-11ef-b75a-ee3046860d1b
  last_name: Semenov
- first_name: Caroline
  full_name: Kreuzinger, Caroline
  id: 382077BA-F248-11E8-B48F-1D18A9856A87
  last_name: Kreuzinger
- first_name: Manjunath
  full_name: Javoor, Manjunath
  id: 305ab18b-dc7d-11ea-9b2f-b58195228ea2
  last_name: Javoor
  orcid: 0000-0003-2311-2112
- first_name: Bettina
  full_name: Zens, Bettina
  id: 45FD126C-F248-11E8-B48F-1D18A9856A87
  last_name: Zens
  orcid: 0000-0002-9561-1239
- first_name: Nathalie
  full_name: Agudelo Duenas, Nathalie
  id: 40E7F008-F248-11E8-B48F-1D18A9856A87
  last_name: Agudelo Duenas
- first_name: Mojtaba
  full_name: Tavakoli, Mojtaba
  id: 3A0A06F4-F248-11E8-B48F-1D18A9856A87
  last_name: Tavakoli
  orcid: 0000-0002-7667-6854
- first_name: Marek
  full_name: Suplata, Marek
  id: EE8452B8-C26A-11E9-B157-E80CE6697425
  last_name: Suplata
- first_name: Wiebke
  full_name: Jahr, Wiebke
  id: 425C1CE8-F248-11E8-B48F-1D18A9856A87
  last_name: Jahr
  orcid: 0000-0003-0201-2315
- first_name: Julia
  full_name: Lyudchik, Julia
  id: 46E28B80-F248-11E8-B48F-1D18A9856A87
  last_name: Lyudchik
- first_name: Andreas
  full_name: Wartak, Andreas
  id: 60aaa06c-3de5-11eb-9e53-baa88e955dcb
  last_name: Wartak
- first_name: Florian Km
  full_name: Schur, Florian Km
  id: 48AD8942-F248-11E8-B48F-1D18A9856A87
  last_name: Schur
  orcid: 0000-0003-4790-8078
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
citation:
  ama: Vorlaufer J, Semenov N, Kreuzinger C, et al. Image-based 3D active sample stabilization
    on the nanometer scale for optical microscopy. <i>Biophysical Reports</i>. 2025;5(2).
    doi:<a href="https://doi.org/10.1016/j.bpr.2025.100211">10.1016/j.bpr.2025.100211</a>
  apa: Vorlaufer, J., Semenov, N., Kreuzinger, C., Javoor, M., Zens, B., Agudelo Duenas,
    N., … Danzl, J. G. (2025). Image-based 3D active sample stabilization on the nanometer
    scale for optical microscopy. <i>Biophysical Reports</i>. Cell Press. <a href="https://doi.org/10.1016/j.bpr.2025.100211">https://doi.org/10.1016/j.bpr.2025.100211</a>
  chicago: Vorlaufer, Jakob, Nikolai Semenov, Caroline Kreuzinger, Manjunath Javoor,
    Bettina Zens, Nathalie Agudelo Duenas, Mojtaba Tavakoli, et al. “Image-Based 3D
    Active Sample Stabilization on the Nanometer Scale for Optical Microscopy.” <i>Biophysical
    Reports</i>. Cell Press, 2025. <a href="https://doi.org/10.1016/j.bpr.2025.100211">https://doi.org/10.1016/j.bpr.2025.100211</a>.
  ieee: J. Vorlaufer <i>et al.</i>, “Image-based 3D active sample stabilization on
    the nanometer scale for optical microscopy,” <i>Biophysical Reports</i>, vol.
    5, no. 2. Cell Press, 2025.
  ista: Vorlaufer J, Semenov N, Kreuzinger C, Javoor M, Zens B, Agudelo Duenas N,
    Tavakoli M, Suplata M, Jahr W, Lyudchik J, Wartak A, Schur FK, Danzl JG. 2025.
    Image-based 3D active sample stabilization on the nanometer scale for optical
    microscopy. Biophysical Reports. 5(2), 100211.
  mla: Vorlaufer, Jakob, et al. “Image-Based 3D Active Sample Stabilization on the
    Nanometer Scale for Optical Microscopy.” <i>Biophysical Reports</i>, vol. 5, no.
    2, 100211, Cell Press, 2025, doi:<a href="https://doi.org/10.1016/j.bpr.2025.100211">10.1016/j.bpr.2025.100211</a>.
  short: J. Vorlaufer, N. Semenov, C. Kreuzinger, M. Javoor, B. Zens, N. Agudelo Duenas,
    M. Tavakoli, M. Suplata, W. Jahr, J. Lyudchik, A. Wartak, F.K. Schur, J.G. Danzl,
    Biophysical Reports 5 (2025).
corr_author: '1'
date_created: 2025-06-08T22:01:22Z
date_published: 2025-06-11T00:00:00Z
date_updated: 2026-10-20T08:55:34Z
day: '11'
ddc:
- '570'
department:
- _id: JoDa
- _id: GradSch
- _id: FlSc
- _id: EM-Fac
doi: 10.1016/j.bpr.2025.100211
ec_funded: 1
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language:
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month: '06'
oa: 1
oa_version: Published Version
project:
- _id: 62909c6f-2b32-11ec-9570-e1476aab5308
  grant_number: CZI01
  name: CryoMinflux-guided in-situ molecular census and structure determination
- _id: 6285a163-2b32-11ec-9570-8e204ca2dba5
  grant_number: '26137'
  name: Studying Organelle Structure and Function at Nanoscale Resolution with Expansion
    Microscopy
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
- _id: 26AA4EF2-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: W1232-B24
  name: Molecular Drug Targets
- _id: 2668BFA0-B435-11E9-9278-68D0E5697425
  grant_number: LT00057
  name: High-speed 3D-nanoscopy to study the role of adhesion during 3D cell migration
publication: Biophysical Reports
publication_identifier:
  eissn:
  - 2667-0747
publication_status: published
publisher: Cell Press
quality_controlled: '1'
related_material:
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    status: public
  - id: '22744'
    relation: dissertation_contains
    status: public
scopus_import: '1'
status: public
title: Image-based 3D active sample stabilization on the nanometer scale for optical
  microscopy
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 5
year: '2025'
...
---
OA_place: publisher
_id: '20206'
abstract:
- lang: eng
  text: "The internal structure of biomolecules and their organization in higher-order
    arrangements are key factors governing the working principles of biological systems.
    Bioimaging has successfully revealed arrangements across relevant spatial scales.
    For example, cryo-electron tomography has become widely used for analyzing biomolecular
    structures in situ due to its comprehensive structural visualization of near-natively
    preserved samples, and its capability of sub-nm resolution via averaging. However,
    the identification of molecules within crowded cellular environments is often
    hindered by low contrast. Fluorescence microscopy, on the other hand, routinely
    visualizes specifically labeled targets at single-molecule contrast against essentially
    zero background. Moreover, it provides comparatively high throughput and is amenable
    to multiplexing. Due to this complementarity, combining datasets from both modalities
    acquired on the same region via correlative light and electron microscopy can
    reveal novel types of information. \r\nThe spatial scale at which information
    can be extracted depends on imaging resolution and correlation accuracy. Since
    diffraction of light limits the resolution of conventional fluorescence microscopy
    to few hundreds of nanometers, reaching the full potential of correlative imaging
    requires super-resolution approaches. Performing imaging at cryogenic temperature
    preserves structures in a near-native state and minimizes distortions between
    the fluorescence and the electron microscopy datasets. Implementations of this
    concept have achieved correlation on the scale of cellular organelles or bacterial
    domains.\r\nWe have worked towards pushing correlative imaging to the single-molecule
    scale by improving cryo-super-resolution microscopy, and devising a refined image
    correlation workflow. As part of this project, I constructed a microscopy setup
    and adopted it for super-resolution fluorescence microscopy at room temperature
    and cryogenic conditions. I explored different cryo-stages and acquisition strategies.
    Specifically, I developed a new scheme for correcting sample drift, thus increasing
    mechanical stability during microscopy acquisitions.\r\n"
acknowledged_ssus:
- _id: M-Shop
- _id: EM-Fac
- _id: Bio
acknowledgement: "The project was supported by CZI grant DAF2021-234754 and grant\r\nDOI:
  https://doi.org/10.37921/812628ebpcwg from the Chan Zuckerberg Initiative DAF, an\r\nadvised
  fund of Silicon Valley Community Foundation (funder\r\nDOI: https://doi.org/10.13039/100014989),
  as well as internal grants from ISTA’s Equipment\r\nInvestment Committee and Interdisciplinary
  Project Committee. "
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Jakob
  full_name: Vorlaufer, Jakob
  id: 937696FA-C996-11E9-8C7C-CF13E6697425
  last_name: Vorlaufer
  orcid: 0009-0000-7590-3501
citation:
  ama: Vorlaufer J. Construction of a cryo-super-resolution microscope to guide in
    situ structure analysis. 2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-20206">10.15479/AT-ISTA-20206</a>
  apa: Vorlaufer, J. (2025). <i>Construction of a cryo-super-resolution microscope
    to guide in situ structure analysis</i>. Institute of Science and Technology Austria.
    <a href="https://doi.org/10.15479/AT-ISTA-20206">https://doi.org/10.15479/AT-ISTA-20206</a>
  chicago: Vorlaufer, Jakob. “Construction of a Cryo-Super-Resolution Microscope to
    Guide in Situ Structure Analysis.” Institute of Science and Technology Austria,
    2025. <a href="https://doi.org/10.15479/AT-ISTA-20206">https://doi.org/10.15479/AT-ISTA-20206</a>.
  ieee: J. Vorlaufer, “Construction of a cryo-super-resolution microscope to guide
    in situ structure analysis,” Institute of Science and Technology Austria, 2025.
  ista: Vorlaufer J. 2025. Construction of a cryo-super-resolution microscope to guide
    in situ structure analysis. Institute of Science and Technology Austria.
  mla: Vorlaufer, Jakob. <i>Construction of a Cryo-Super-Resolution Microscope to
    Guide in Situ Structure Analysis</i>. Institute of Science and Technology Austria,
    2025, doi:<a href="https://doi.org/10.15479/AT-ISTA-20206">10.15479/AT-ISTA-20206</a>.
  short: J. Vorlaufer, Construction of a Cryo-Super-Resolution Microscope to Guide
    in Situ Structure Analysis, Institute of Science and Technology Austria, 2025.
corr_author: '1'
date_created: 2025-08-22T08:12:55Z
date_published: 2025-08-25T00:00:00Z
date_updated: 2026-10-20T08:55:33Z
day: '25'
ddc:
- '621'
- '535'
degree_awarded: PhD
department:
- _id: GradSch
- _id: JoDa
doi: 10.15479/AT-ISTA-20206
file:
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  date_updated: 2025-08-25T13:49:56Z
  file_id: '20229'
  file_name: 2025_Vorlaufer_Jakob_Thesis.pdf
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file_date_updated: 2025-08-25T13:49:56Z
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has_accepted_license: '1'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
page: '107'
project:
- _id: 62909c6f-2b32-11ec-9570-e1476aab5308
  grant_number: CZI01
  name: CryoMinflux-guided in-situ molecular census and structure determination
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '19795'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
title: Construction of a cryo-super-resolution microscope to guide in situ structure
  analysis
tmp:
  image: /images/cc_by_nc_sa.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC
    BY-NC-SA 4.0)
  short: CC BY-NC-SA (4.0)
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2025'
...
---
OA_place: publisher
OA_type: hybrid
PlanS_conform: '1'
_id: '19003'
abstract:
- lang: eng
  text: 'Super-resolution methods provide far better spatial resolution than the optical
    diffraction limit of about half the wavelength of light (∼200-300 nm). Nevertheless,
    they have yet to attain widespread use in plants, largely due to plants’ challenging
    optical properties. Expansion microscopy improves effective resolution by isotropically
    increasing the physical distances between sample structures while preserving relative
    spatial arrangements and clearing the sample. However, its application to plants
    has been hindered by the rigid, mechanically cohesive structure of plant tissues.
    Here, we report on whole-mount expansion microscopy of thale cress (Arabidopsis
    thaliana) root tissues (PlantEx), achieving a four-fold resolution increase over
    conventional microscopy. Our results highlight the microtubule cytoskeleton organization
    and interaction between molecularly defined cellular constituents. Combining PlantEx
    with stimulated emission depletion (STED) microscopy, we increase nanoscale resolution
    and visualize the complex organization of subcellular organelles from intact tissues
    by example of the densely packed COPI-coated vesicles associated with the Golgi
    apparatus and put these into a cellular structural context. Our results show that
    expansion microscopy can be applied to increase effective imaging resolution in
    Arabidopsis root specimens. '
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
- _id: E-Lib
- _id: M-Shop
acknowledgement: "We gratefully acknowledge support by the Scientific Service Units
  at ISTA, including the Imaging and Optics and Lab Support facilities and the mechanical
  workshop and Library. We thank Philipp Velicky for STED microscope alignment.\r\nThis
  project has received funding from the European Research Council under the Horizon
  2020 Framework Programme (grant agreement No 742985, J.F.). It has also received
  funding from the Horizon 2020 Framework Programme under the Marie Skłodowska-Curie
  Grant Agreement No. 665385 (M.G.). S.T. has received funding as an ISTplus Fellow
  from the Horizon 2020 Framework Programme under Marie Skłodowska-Curie grant agreement
  no. 754411 and from EMBO via a Long-Term Fellowship (grant number ALTF 679-2018).
  M.R.T. received funding from the Austrian Academy of Sciences with DOC fellowship
  no. 26137. The project has further received funding from the Austrian Science Fund,
  via grant DK W1232 (M.R.T., N.A.D., and J.G.D). W.J. received a postdoctoral fellowship
  from the Human Frontier Science Program (LT000557/2018). The funders had no role
  in study design, data collection and analysis, decision to publish or preparation
  of the manuscript."
article_number: koaf006
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Michelle C
  full_name: Gallei, Michelle C
  id: 35A03822-F248-11E8-B48F-1D18A9856A87
  last_name: Gallei
  orcid: 0000-0003-1286-7368
- first_name: Sven M
  full_name: Truckenbrodt, Sven M
  id: 45812BD4-F248-11E8-B48F-1D18A9856A87
  last_name: Truckenbrodt
- first_name: Caroline
  full_name: Kreuzinger, Caroline
  id: 382077BA-F248-11E8-B48F-1D18A9856A87
  last_name: Kreuzinger
- first_name: Syamala
  full_name: Inumella, Syamala
  id: F8660870-D756-11E9-98C5-34DFE5697425
  last_name: Inumella
  orcid: 0009-0002-5890-120X
- first_name: Vitali
  full_name: Vistunou, Vitali
  id: 7e146587-8972-11ed-ae7b-d7a32ea86a81
  last_name: Vistunou
- first_name: Christoph M
  full_name: Sommer, Christoph M
  id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87
  last_name: Sommer
  orcid: 0000-0003-1216-9105
- first_name: Mojtaba
  full_name: Tavakoli, Mojtaba
  id: 3A0A06F4-F248-11E8-B48F-1D18A9856A87
  last_name: Tavakoli
  orcid: 0000-0002-7667-6854
- first_name: Nathalie
  full_name: Agudelo Duenas, Nathalie
  id: 40E7F008-F248-11E8-B48F-1D18A9856A87
  last_name: Agudelo Duenas
- first_name: Jakob
  full_name: Vorlaufer, Jakob
  id: 937696FA-C996-11E9-8C7C-CF13E6697425
  last_name: Vorlaufer
  orcid: 0009-0000-7590-3501
- first_name: Wiebke
  full_name: Jahr, Wiebke
  id: 425C1CE8-F248-11E8-B48F-1D18A9856A87
  last_name: Jahr
  orcid: 0000-0003-0201-2315
- first_name: Marek
  full_name: Randuch, Marek
  id: 6ac4636d-15b2-11ec-abd3-fb8df79972ae
  last_name: Randuch
- first_name: Alexander J
  full_name: Johnson, Alexander J
  id: 46A62C3A-F248-11E8-B48F-1D18A9856A87
  last_name: Johnson
  orcid: 0000-0002-2739-8843
- first_name: Eva
  full_name: Benková, Eva
  id: 38F4F166-F248-11E8-B48F-1D18A9856A87
  last_name: Benková
  orcid: 0000-0002-8510-9739
- first_name: Jiří
  full_name: Friml, Jiří
  id: 4159519E-F248-11E8-B48F-1D18A9856A87
  last_name: Friml
  orcid: 0000-0002-8302-7596
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
citation:
  ama: Gallei MC, Truckenbrodt SM, Kreuzinger C, et al. Super-resolution expansion
    microscopy in plant roots. <i>The Plant Cell</i>. 2025;37(4). doi:<a href="https://doi.org/10.1093/plcell/koaf006">10.1093/plcell/koaf006</a>
  apa: Gallei, M. C., Truckenbrodt, S. M., Kreuzinger, C., Inumella, S., Vistunou,
    V., Sommer, C. M., … Danzl, J. G. (2025). Super-resolution expansion microscopy
    in plant roots. <i>The Plant Cell</i>. Oxford University Press. <a href="https://doi.org/10.1093/plcell/koaf006">https://doi.org/10.1093/plcell/koaf006</a>
  chicago: Gallei, Michelle C, Sven M Truckenbrodt, Caroline Kreuzinger, Syamala Inumella,
    Vitali Vistunou, Christoph M Sommer, Mojtaba Tavakoli, et al. “Super-Resolution
    Expansion Microscopy in Plant Roots.” <i>The Plant Cell</i>. Oxford University
    Press, 2025. <a href="https://doi.org/10.1093/plcell/koaf006">https://doi.org/10.1093/plcell/koaf006</a>.
  ieee: M. C. Gallei <i>et al.</i>, “Super-resolution expansion microscopy in plant
    roots,” <i>The Plant Cell</i>, vol. 37, no. 4. Oxford University Press, 2025.
  ista: Gallei MC, Truckenbrodt SM, Kreuzinger C, Inumella S, Vistunou V, Sommer CM,
    Tavakoli M, Agudelo Duenas N, Vorlaufer J, Jahr W, Randuch M, Johnson AJ, Benková
    E, Friml J, Danzl JG. 2025. Super-resolution expansion microscopy in plant roots.
    The Plant Cell. 37(4), koaf006.
  mla: Gallei, Michelle C., et al. “Super-Resolution Expansion Microscopy in Plant
    Roots.” <i>The Plant Cell</i>, vol. 37, no. 4, koaf006, Oxford University Press,
    2025, doi:<a href="https://doi.org/10.1093/plcell/koaf006">10.1093/plcell/koaf006</a>.
  short: M.C. Gallei, S.M. Truckenbrodt, C. Kreuzinger, S. Inumella, V. Vistunou,
    C.M. Sommer, M. Tavakoli, N. Agudelo Duenas, J. Vorlaufer, W. Jahr, M. Randuch,
    A.J. Johnson, E. Benková, J. Friml, J.G. Danzl, The Plant Cell 37 (2025).
corr_author: '1'
date_created: 2025-02-05T06:52:06Z
date_published: 2025-04-01T00:00:00Z
date_updated: 2026-10-20T09:19:12Z
day: '01'
ddc:
- '580'
department:
- _id: EvBe
- _id: JoDa
- _id: JiFr
doi: 10.1093/plcell/koaf006
ec_funded: 1
external_id:
  isi:
  - '001462763100001'
  pmid:
  - '39792900'
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  date_created: 2025-07-31T07:03:43Z
  date_updated: 2025-07-31T07:03:43Z
  file_id: '20092'
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intvolume: '        37'
isi: 1
issue: '4'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 261099A6-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '742985'
  name: Tracing Evolution of Auxin Transport and Polarity in Plants
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
- _id: 260C2330-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '754411'
  name: ISTplus - Postdoctoral Fellowships
- _id: 269B5B22-B435-11E9-9278-68D0E5697425
  grant_number: ALTF 679-2018
  name: UltraX - achieving sub-nanometer resolution in light microscopy using iterative
    X10 microscopy in combination with nanobodies and STED
- _id: 6285a163-2b32-11ec-9570-8e204ca2dba5
  grant_number: '26137'
  name: Studying Organelle Structure and Function at Nanoscale Resolution with Expansion
    Microscopy
- _id: 26AA4EF2-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: W1232-B24
  name: Molecular Drug Targets
publication: The Plant Cell
publication_identifier:
  eissn:
  - 1532-298X
  issn:
  - 1040-4651
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
related_material:
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    relation: research_data
    status: public
  - id: '18689'
    relation: earlier_version
    status: public
scopus_import: '1'
status: public
title: Super-resolution expansion microscopy in plant roots
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 37
year: '2025'
...
---
OA_place: repository
_id: '18689'
abstract:
- lang: eng
  text: Multiplexed fluorescence microscopy imaging is widely used in biomedical applications.
    However, simultaneous imaging of multiple fluorophores can result in spectral
    leaks and overlapping, which greatly degrades image quality and subsequent analysis.
    Existing popular spectral unmixing methods are mainly based on computational intensive
    linear models and the performance is heavily dependent on the reference spectra,
    which may greatly preclude its further applications. In this paper, we propose
    a deep learning-based blindly spectral unmixing method, termed AutoUnmix, to imitate
    the physical spectral mixing process. A tranfer learning framework is further
    devised to allow our AutoUnmix adapting to a variety of imaging systems without
    retraining the network. Our proposed method has demonstrated real-time unmixing
    capabilities, surpassing existing methods by up to 100-fold in terms of unmixing
    speed. We further validate the reconstruction performance on both synthetic datasets
    and biological samples. The unmixing results of AutoUnmix achieve a highest SSIM
    of 0.99 in both three- and four-color imaging, with nearly up to 20% higher than
    other popular unmixing methods. Due to the desirable property of data independency
    and superior blind unmixing performance, we believe AutoUnmix is a powerful tool
    to study the interaction process of different organelles labeled by multiple fluorophores.
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
- _id: M-Shop
- _id: E-Lib
acknowledgement: "We gratefully acknowledge support by the Scientific Service Units
  at ISTA, including the Imaging and Optics and Lab Support facilities and the mechanical
  workshop and Library. We thank Philipp Velicky for STED microscope alignment.\r\n\r\nThis
  project has received funding from the Austrian Science Fund (FWF): I 3630-B25 (J.G.D)
  and the European Research Council (ERC) under the European Union’s Horizon 2020
  research and innovation programme (grant agreement No 742985, J.F.). It has also
  received funding from the European Union’s Horizon 2020 research and innovation
  programme under the Marie Skłodowska-Curie Grant Agreement No. 665385. S.T. has
  received funding as an ISTplus Fellow from the European Union’s Horizon 2020 Research
  and Innovation Programme under Marie Skłodowska-Curie grant agreement no. 754411
  and from an EMBO Long-Term Fellowship (grant number ALTF 679-2018). It has further
  received funding from the Austrian Science Fund (FWF) grant DK W1232 (M.T, N.A-D.,
  J.G.D). W.J. received funding via a Human Frontier Science Program postdoctoral
  fellowship LT000557/2018.\r\n\r\nThe funders had no role in study design, data collection
  and analysis, decision to publish or preparation of the manuscript."
article_processing_charge: No
author:
- first_name: Michelle C
  full_name: Gallei, Michelle C
  id: 35A03822-F248-11E8-B48F-1D18A9856A87
  last_name: Gallei
  orcid: 0000-0003-1286-7368
- first_name: Sven M
  full_name: Truckenbrodt, Sven M
  id: 45812BD4-F248-11E8-B48F-1D18A9856A87
  last_name: Truckenbrodt
- first_name: Caroline
  full_name: Kreuzinger, Caroline
  id: 382077BA-F248-11E8-B48F-1D18A9856A87
  last_name: Kreuzinger
- first_name: Syamala
  full_name: Inumella, Syamala
  id: F8660870-D756-11E9-98C5-34DFE5697425
  last_name: Inumella
  orcid: 0009-0002-5890-120X
- first_name: Vitali
  full_name: Vistunou, Vitali
  id: 7e146587-8972-11ed-ae7b-d7a32ea86a81
  last_name: Vistunou
- first_name: Christoph M
  full_name: Sommer, Christoph M
  id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87
  last_name: Sommer
  orcid: 0000-0003-1216-9105
- first_name: Mojtaba
  full_name: Tavakoli, Mojtaba
  id: 3A0A06F4-F248-11E8-B48F-1D18A9856A87
  last_name: Tavakoli
  orcid: 0000-0002-7667-6854
- first_name: Nathalie
  full_name: Agudelo Duenas, Nathalie
  id: 40E7F008-F248-11E8-B48F-1D18A9856A87
  last_name: Agudelo Duenas
- first_name: Jakob
  full_name: Vorlaufer, Jakob
  id: 937696FA-C996-11E9-8C7C-CF13E6697425
  last_name: Vorlaufer
  orcid: 0009-0000-7590-3501
- first_name: Wiebke
  full_name: Jahr, Wiebke
  id: 425C1CE8-F248-11E8-B48F-1D18A9856A87
  last_name: Jahr
  orcid: 0000-0003-0201-2315
- first_name: Marek
  full_name: Randuch, Marek
  id: 6ac4636d-15b2-11ec-abd3-fb8df79972ae
  last_name: Randuch
- first_name: Alexander J
  full_name: Johnson, Alexander J
  id: 46A62C3A-F248-11E8-B48F-1D18A9856A87
  last_name: Johnson
  orcid: 0000-0002-2739-8843
- first_name: Eva
  full_name: Benková, Eva
  id: 38F4F166-F248-11E8-B48F-1D18A9856A87
  last_name: Benková
  orcid: 0000-0002-8510-9739
- first_name: Jiří
  full_name: Friml, Jiří
  id: 4159519E-F248-11E8-B48F-1D18A9856A87
  last_name: Friml
  orcid: 0000-0002-8302-7596
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
citation:
  ama: Gallei MC, Truckenbrodt SM, Kreuzinger C, et al. Super-resolution expansion
    microscopy in plant roots. <i>bioRxiv</i>. doi:<a href="https://doi.org/10.1101/2024.02.21.581330">10.1101/2024.02.21.581330</a>
  apa: Gallei, M. C., Truckenbrodt, S. M., Kreuzinger, C., Inumella, S., Vistunou,
    V., Sommer, C. M., … Danzl, J. G. (n.d.). Super-resolution expansion microscopy
    in plant roots. <i>bioRxiv</i>. <a href="https://doi.org/10.1101/2024.02.21.581330">https://doi.org/10.1101/2024.02.21.581330</a>
  chicago: Gallei, Michelle C, Sven M Truckenbrodt, Caroline Kreuzinger, Syamala Inumella,
    Vitali Vistunou, Christoph M Sommer, Mojtaba Tavakoli, et al. “Super-Resolution
    Expansion Microscopy in Plant Roots.” <i>BioRxiv</i>, n.d. <a href="https://doi.org/10.1101/2024.02.21.581330">https://doi.org/10.1101/2024.02.21.581330</a>.
  ieee: M. C. Gallei <i>et al.</i>, “Super-resolution expansion microscopy in plant
    roots,” <i>bioRxiv</i>. .
  ista: Gallei MC, Truckenbrodt SM, Kreuzinger C, Inumella S, Vistunou V, Sommer CM,
    Tavakoli M, Agudelo Duenas N, Vorlaufer J, Jahr W, Randuch M, Johnson AJ, Benková
    E, Friml J, Danzl JG. Super-resolution expansion microscopy in plant roots. bioRxiv,
    <a href="https://doi.org/10.1101/2024.02.21.581330">10.1101/2024.02.21.581330</a>.
  mla: Gallei, Michelle C., et al. “Super-Resolution Expansion Microscopy in Plant
    Roots.” <i>BioRxiv</i>, doi:<a href="https://doi.org/10.1101/2024.02.21.581330">10.1101/2024.02.21.581330</a>.
  short: M.C. Gallei, S.M. Truckenbrodt, C. Kreuzinger, S. Inumella, V. Vistunou,
    C.M. Sommer, M. Tavakoli, N. Agudelo Duenas, J. Vorlaufer, W. Jahr, M. Randuch,
    A.J. Johnson, E. Benková, J. Friml, J.G. Danzl, BioRxiv (n.d.).
corr_author: '1'
das_tickbox: '0'
date_created: 2024-12-19T12:28:00Z
date_published: 2024-02-21T00:00:00Z
date_updated: 2026-10-02T11:27:43Z
day: '21'
department:
- _id: EvBe
- _id: JoDa
- _id: JiFr
doi: 10.1101/2024.02.21.581330
ec_funded: 1
fulldoi: https://doi.org/10.1101/2024.02.21.581330
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1101/2024.02.21.581330
month: '02'
oa: 1
oa_version: Preprint
project:
- _id: 261099A6-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '742985'
  name: Tracing Evolution of Auxin Transport and Polarity in Plants
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
- _id: 260C2330-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '754411'
  name: ISTplus - Postdoctoral Fellowships
- _id: 26AA4EF2-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: W1232-B24
  name: Molecular Drug Targets
- _id: 269B5B22-B435-11E9-9278-68D0E5697425
  grant_number: ALTF 679-2018
  name: UltraX - achieving sub-nanometer resolution in light microscopy using iterative
    X10 microscopy in combination with nanobodies and STED
publication: bioRxiv
publication_status: draft
related_material:
  record:
  - id: '19003'
    relation: later_version
    status: public
  - id: '18681'
    relation: dissertation_contains
    status: public
researchdata_availability: no
status: public
supplementarymaterial: no
title: Super-resolution expansion microscopy in plant roots
tmp:
  image: /images/cc_by_nc.png
  legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
  short: CC BY-NC (4.0)
type: preprint
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
year: '2024'
...
---
OA_embargo: '20'
OA_place: publisher
_id: '18681'
acknowledged_ssus:
- _id: Bio
- _id: PreCl
- _id: LifeSc
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Mojtaba
  full_name: Tavakoli, Mojtaba
  id: 3A0A06F4-F248-11E8-B48F-1D18A9856A87
  last_name: Tavakoli
  orcid: 0000-0002-7667-6854
citation:
  ama: 'Tavakoli M. Developing molecular and structural tools for studying brain architecture
    with super resolution expansion microscopy. LICONN: Molecularly-informed connectomics
    reconstruction with light microscopy. 2024. doi:<a href="https://doi.org/10.15479/at:ista:18681">10.15479/at:ista:18681</a>'
  apa: 'Tavakoli, M. (2024). <i>Developing molecular and structural tools for studying
    brain architecture with super resolution expansion microscopy. LICONN: Molecularly-informed
    connectomics reconstruction with light microscopy</i>. Institute of Science and
    Technology Austria. <a href="https://doi.org/10.15479/at:ista:18681">https://doi.org/10.15479/at:ista:18681</a>'
  chicago: 'Tavakoli, Mojtaba. “Developing Molecular and Structural Tools for Studying
    Brain Architecture with Super Resolution Expansion Microscopy. LICONN: Molecularly-Informed
    Connectomics Reconstruction with Light Microscopy.” Institute of Science and Technology
    Austria, 2024. <a href="https://doi.org/10.15479/at:ista:18681">https://doi.org/10.15479/at:ista:18681</a>.'
  ieee: 'M. Tavakoli, “Developing molecular and structural tools for studying brain
    architecture with super resolution expansion microscopy. LICONN: Molecularly-informed
    connectomics reconstruction with light microscopy,” Institute of Science and Technology
    Austria, 2024.'
  ista: 'Tavakoli M. 2024. Developing molecular and structural tools for studying
    brain architecture with super resolution expansion microscopy. LICONN: Molecularly-informed
    connectomics reconstruction with light microscopy. Institute of Science and Technology
    Austria.'
  mla: 'Tavakoli, Mojtaba. <i>Developing Molecular and Structural Tools for Studying
    Brain Architecture with Super Resolution Expansion Microscopy. LICONN: Molecularly-Informed
    Connectomics Reconstruction with Light Microscopy</i>. Institute of Science and
    Technology Austria, 2024, doi:<a href="https://doi.org/10.15479/at:ista:18681">10.15479/at:ista:18681</a>.'
  short: 'M. Tavakoli, Developing Molecular and Structural Tools for Studying Brain
    Architecture with Super Resolution Expansion Microscopy. LICONN: Molecularly-Informed
    Connectomics Reconstruction with Light Microscopy, Institute of Science and Technology
    Austria, 2024.'
corr_author: '1'
das_tickbox: '1'
date_created: 2024-12-19T02:30:39Z
date_published: 2024-12-20T00:00:00Z
date_updated: 2026-10-02T11:27:43Z
day: '20'
ddc:
- '600'
- '570'
degree_awarded: PhD
department:
- _id: GradSch
- _id: JoDa
doi: 10.15479/at:ista:18681
doi_confirm: '1'
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  file_name: Thesis_Mojtaba Tavakoli_.pdf
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file_date_updated: 2026-07-28T08:33:51Z
fulldoi: https://doi.org/10.15479/at:ista:18681
has_accepted_license: '1'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '12'
oa_version: Published Version
page: '230'
project:
- _id: 6285a163-2b32-11ec-9570-8e204ca2dba5
  grant_number: '26137'
  name: Studying Organelle Structure and Function at Nanoscale Resolution with Expansion
    Microscopy
- _id: 26AA4EF2-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: W1232-B24
  name: Molecular Drug Targets
publication_identifier:
  isbn:
  - 978-3-99078-048-0
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '11160'
    relation: part_of_dissertation
    status: public
  - id: '18688'
    relation: part_of_dissertation
    status: public
  - id: '18689'
    relation: part_of_dissertation
    status: public
  - id: '18677'
    relation: part_of_dissertation
    status: public
researchdata_availability: unclear
status: public
supervisor:
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
supplementarymaterial: unclear
title: 'Developing molecular and structural tools for studying brain architecture
  with super resolution expansion microscopy. LICONN: Molecularly-informed connectomics
  reconstruction with light microscopy'
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: dissertation
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
year: '2024'
...
---
OA_place: repository
_id: '18677'
abstract:
- lang: eng
  text: The information-processing capability of the brain’s cellular network depends
    on the physical wiring pattern between neurons and their molecular and functional
    characteristics. Mapping neurons and resolving their individual synaptic connections
    can be achieved by volumetric imaging at nanoscale resolution with dense cellular
    labeling. Light microscopy is uniquely positioned to visualize specific molecules
    but dense, synapse-level circuit reconstruction by light microscopy has been out
    of reach due to limitations in resolution, contrast, and volumetric imaging capability.
    Here we developed light-microscopy based connectomics (LICONN). We integrated
    specifically engineered hydrogel embedding and expansion with comprehensive deep-learning
    based segmentation and analysis of connectivity, thus directly incorporating molecular
    information in synapse-level brain tissue reconstructions. LICONN will allow synapse-level
    brain tissue phenotyping in biological experiments in a readily adoptable manner.
acknowledged_ssus:
- _id: E-Lib
- _id: M-Shop
- _id: LifeSc
- _id: Bio
- _id: ScienComp
acknowledgement: "We thank Sven Dorkenwald and Peter Li for critical reading of the\r\nmanuscript.
  We acknowledge expert support by ISTA’s scientific service units: Imaging and\r\nOptics,
  Lab Support, Scientific Computing, Preclinical Facility, Miba Machine Shop, and
  Library.\r\nWe gratefully acknowledge funding by the following sources:\r\nAustrian
  Science Fund (FWF) grant DK W1232 (JGD, MRT)\r\nAustrian Academy of Sciences DOC
  fellowship 26137 (MRT)\r\nEU Horizon 2020 program, Marie Skłodowska-Curie Actions
  Fellowship 665385 (JL)\r\nGesellschaft für Forschungsförderung NÖ (NFB) grant LSC18-022
  (JGD)\r\nEuropean Union’s Horizon 2020 research and innovation programme, European
  Research\r\nCouncil (ERC) grant 101044865 “SecretAutism.”\r\n"
article_processing_charge: No
author:
- first_name: Mojtaba
  full_name: Tavakoli, Mojtaba
  id: 3A0A06F4-F248-11E8-B48F-1D18A9856A87
  last_name: Tavakoli
  orcid: 0000-0002-7667-6854
- first_name: Julia
  full_name: Lyudchik, Julia
  id: 46E28B80-F248-11E8-B48F-1D18A9856A87
  last_name: Lyudchik
- first_name: Michał
  full_name: Januszewski, Michał
  last_name: Januszewski
- first_name: Vitali
  full_name: Vistunou, Vitali
  id: 7e146587-8972-11ed-ae7b-d7a32ea86a81
  last_name: Vistunou
- first_name: Nathalie
  full_name: Agudelo Duenas, Nathalie
  id: 40E7F008-F248-11E8-B48F-1D18A9856A87
  last_name: Agudelo Duenas
- first_name: Jakob
  full_name: Vorlaufer, Jakob
  id: 937696FA-C996-11E9-8C7C-CF13E6697425
  last_name: Vorlaufer
  orcid: 0009-0000-7590-3501
- first_name: Christoph M
  full_name: Sommer, Christoph M
  id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87
  last_name: Sommer
  orcid: 0000-0003-1216-9105
- first_name: Caroline
  full_name: Kreuzinger, Caroline
  id: 382077BA-F248-11E8-B48F-1D18A9856A87
  last_name: Kreuzinger
- first_name: Bárbara
  full_name: Oliveira, Bárbara
  id: 3B03AA1A-F248-11E8-B48F-1D18A9856A87
  last_name: Oliveira
- first_name: Alban
  full_name: Cenameri, Alban
  id: 9ac8f577-2357-11eb-997a-e566c5550886
  last_name: Cenameri
- first_name: Gaia
  full_name: Novarino, Gaia
  id: 3E57A680-F248-11E8-B48F-1D18A9856A87
  last_name: Novarino
  orcid: 0000-0002-7673-7178
- first_name: Viren
  full_name: Jain, Viren
  last_name: Jain
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
citation:
  ama: Tavakoli M, Lyudchik J, Januszewski M, et al. Light-microscopy based dense
    connectomic reconstruction of mammalian brain tissue. <i>bioRxiv</i>. doi:<a href="https://doi.org/10.1101/2024.03.01.582884">10.1101/2024.03.01.582884</a>
  apa: Tavakoli, M., Lyudchik, J., Januszewski, M., Vistunou, V., Agudelo Duenas,
    N., Vorlaufer, J., … Danzl, J. G. (n.d.). Light-microscopy based dense connectomic
    reconstruction of mammalian brain tissue. <i>bioRxiv</i>. <a href="https://doi.org/10.1101/2024.03.01.582884">https://doi.org/10.1101/2024.03.01.582884</a>
  chicago: Tavakoli, Mojtaba, Julia Lyudchik, Michał Januszewski, Vitali Vistunou,
    Nathalie Agudelo Duenas, Jakob Vorlaufer, Christoph M Sommer, et al. “Light-Microscopy
    Based Dense Connectomic Reconstruction of Mammalian Brain Tissue.” <i>BioRxiv</i>,
    n.d. <a href="https://doi.org/10.1101/2024.03.01.582884">https://doi.org/10.1101/2024.03.01.582884</a>.
  ieee: M. Tavakoli <i>et al.</i>, “Light-microscopy based dense connectomic reconstruction
    of mammalian brain tissue,” <i>bioRxiv</i>. .
  ista: Tavakoli M, Lyudchik J, Januszewski M, Vistunou V, Agudelo Duenas N, Vorlaufer
    J, Sommer CM, Kreuzinger C, Oliveira B, Cenameri A, Novarino G, Jain V, Danzl
    JG. Light-microscopy based dense connectomic reconstruction of mammalian brain
    tissue. bioRxiv, <a href="https://doi.org/10.1101/2024.03.01.582884">10.1101/2024.03.01.582884</a>.
  mla: Tavakoli, Mojtaba, et al. “Light-Microscopy Based Dense Connectomic Reconstruction
    of Mammalian Brain Tissue.” <i>BioRxiv</i>, doi:<a href="https://doi.org/10.1101/2024.03.01.582884">10.1101/2024.03.01.582884</a>.
  short: M. Tavakoli, J. Lyudchik, M. Januszewski, V. Vistunou, N. Agudelo Duenas,
    J. Vorlaufer, C.M. Sommer, C. Kreuzinger, B. Oliveira, A. Cenameri, G. Novarino,
    V. Jain, J.G. Danzl, BioRxiv (n.d.).
corr_author: '1'
das_tickbox: '0'
date_created: 2024-12-18T14:48:24Z
date_published: 2024-07-08T00:00:00Z
date_updated: 2026-10-02T11:27:43Z
day: '08'
department:
- _id: GaNo
- _id: JoDa
doi: 10.1101/2024.03.01.582884
ec_funded: 1
fulldoi: https://doi.org/10.1101/2024.03.01.582884
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1101/2024.03.01.582884
month: '07'
oa: 1
oa_version: Preprint
project:
- _id: 6285a163-2b32-11ec-9570-8e204ca2dba5
  grant_number: '26137'
  name: Studying Organelle Structure and Function at Nanoscale Resolution with Expansion
    Microscopy
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
- _id: 34ba8964-11ca-11ed-8bc3-e15864e7e9a6
  grant_number: '101044865'
  name: Toward an understanding of the brain interstitial system and the extracellular
    proteome in health and autism spectrum disorders
- _id: 26AA4EF2-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: W1232-B24
  name: Molecular Drug Targets
publication: bioRxiv
publication_status: draft
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researchdata_availability: no
status: public
supplementarymaterial: no
title: Light-microscopy based dense connectomic reconstruction of mammalian brain
  tissue
tmp:
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  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
  name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: preprint
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
year: '2024'
...
---
OA_place: repository
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abstract:
- lang: eng
  text: The human brain has remarkable computational power. It generates sophisticated
    behavioral sequences, stores engrams over an individual’s lifetime, and produces
    higher cognitive functions up to the level of consciousness. However, so little
    of our neuroscience knowledge covers the human brain, and it remains unknown whether
    this organ is truly unique, or is a scaled version of the extensively studied
    rodent brain. To address this fundamental question, we determined the cellular,
    synaptic, and connectivity rules of the hippocampal CA3 recurrent circuit using
    multicellular patch clamp-recording. This circuit is the largest autoassociative
    network in the brain, and plays a key role in memory and higher-order computations
    such as pattern separation and pattern completion. We demonstrate that human hippocampal
    CA3 employs sparse connectivity, in stark contrast to neocortical recurrent networks.
    Connectivity sparsifies from rodents to humans, providing a circuit architecture
    that maximizes associational power. Unitary synaptic events at human CA3–CA3 synapses
    showed both distinct species-specific and circuit-dependent properties, with high
    reliability, unique amplitude precision, and long integration times. We also identify
    differential scaling rules between hippocampal pathways from rodents to humans,
    with a moderate increase in the convergence of CA3 inputs per cell, but a marked
    increase in human mossy fiber innervation. Anatomically guided full-scale modeling
    suggests that the human brain’s sparse connectivity, expanded neuronal number,
    and reliable synaptic signaling combine to enhance the associative memory storage
    capacity of CA3. Together, our results reveal unique rules of connectivity and
    synaptic signaling in the human hippocampus, demonstrating the absolute necessity
    of human brain research and beginning to unravel the remarkable performance of
    our autoassociative memory circuits.
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
- _id: M-Shop
- _id: PreCl
- _id: ScienComp
acknowledgement: We thank Florian Marr for excellent technical assistance, Christina
  Altmutter and Julia Flor for technical support, Alois Schlögl for programming, Todor
  Asenov for development of the transportation box for human brain tissue, Tim Vogels
  for guidance on simulations, Marcus Huber for mathematical advice, and Eleftheria
  Kralli-Beller for manuscript editing. This research was supported by the Scientific
  Services Units (SSUs) of ISTA, and we are particularly grateful for assistance from
  Christoph Sommer and the Imaging and Optics Facility, Preclinical Facility, Life
  Science Facility, Miba Machine Shop, and Scientific Computing. We also acknowledge
  the excellent support of the Medical University of Vienna Department of Neurosurgery
  staff, Romana Hoeftberger and the Division of Neuropathology and Neurochemistry,
  and Gregor Kasprian and the Division of Neuroradiology and Musculoskeletal Radiology.
  The project received funding from the European Research Council (ERC) under the
  European Union’s Horizon 2020 research and innovation programme (Marie Skłodowska-Curie
  Actions Individual Fellowship no. 101026635 to J.F.W.), the Austrian Science Fund
  (FWF; grant PAT 4178023 to P.J.; grant DK W1232 to M.R.T. and J.G.D.) and the Austrian
  Academy of Sciences (DOC fellowship 26137 to M.R.T.).
article_processing_charge: No
author:
- first_name: Jake F.
  full_name: Watson, Jake F.
  last_name: Watson
- first_name: Victor
  full_name: Vargas-Barroso, Victor
  last_name: Vargas-Barroso
- first_name: Rebecca J.
  full_name: Morse-Mora, Rebecca J.
  last_name: Morse-Mora
- first_name: Andrea
  full_name: Navas-Olive, Andrea
  last_name: Navas-Olive
- first_name: Mojtaba
  full_name: Tavakoli, Mojtaba
  id: 3A0A06F4-F248-11E8-B48F-1D18A9856A87
  last_name: Tavakoli
  orcid: 0000-0002-7667-6854
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
- first_name: Matthias
  full_name: Tomschik, Matthias
  last_name: Tomschik
- first_name: Karl
  full_name: Rössler, Karl
  last_name: Rössler
- first_name: Peter M
  full_name: Jonas, Peter M
  id: 353C1B58-F248-11E8-B48F-1D18A9856A87
  last_name: Jonas
  orcid: 0000-0001-5001-4804
citation:
  ama: Watson JF, Vargas-Barroso V, Morse-Mora RJ, et al. Human hippocampal CA3 uses
    specific functional connectivity rules for efficient associative memory. <i>bioRxiv</i>.
    doi:<a href="https://doi.org/10.1101/2024.05.02.592169">10.1101/2024.05.02.592169</a>
  apa: Watson, J. F., Vargas-Barroso, V., Morse-Mora, R. J., Navas-Olive, A., Tavakoli,
    M., Danzl, J. G., … Jonas, P. M. (n.d.). Human hippocampal CA3 uses specific functional
    connectivity rules for efficient associative memory. <i>bioRxiv</i>. <a href="https://doi.org/10.1101/2024.05.02.592169">https://doi.org/10.1101/2024.05.02.592169</a>
  chicago: Watson, Jake F., Victor Vargas-Barroso, Rebecca J. Morse-Mora, Andrea Navas-Olive,
    Mojtaba Tavakoli, Johann G Danzl, Matthias Tomschik, Karl Rössler, and Peter M
    Jonas. “Human Hippocampal CA3 Uses Specific Functional Connectivity Rules for
    Efficient Associative Memory.” <i>BioRxiv</i>, n.d. <a href="https://doi.org/10.1101/2024.05.02.592169">https://doi.org/10.1101/2024.05.02.592169</a>.
  ieee: J. F. Watson <i>et al.</i>, “Human hippocampal CA3 uses specific functional
    connectivity rules for efficient associative memory,” <i>bioRxiv</i>. .
  ista: Watson JF, Vargas-Barroso V, Morse-Mora RJ, Navas-Olive A, Tavakoli M, Danzl
    JG, Tomschik M, Rössler K, Jonas PM. Human hippocampal CA3 uses specific functional
    connectivity rules for efficient associative memory. bioRxiv, <a href="https://doi.org/10.1101/2024.05.02.592169">10.1101/2024.05.02.592169</a>.
  mla: Watson, Jake F., et al. “Human Hippocampal CA3 Uses Specific Functional Connectivity
    Rules for Efficient Associative Memory.” <i>BioRxiv</i>, doi:<a href="https://doi.org/10.1101/2024.05.02.592169">10.1101/2024.05.02.592169</a>.
  short: J.F. Watson, V. Vargas-Barroso, R.J. Morse-Mora, A. Navas-Olive, M. Tavakoli,
    J.G. Danzl, M. Tomschik, K. Rössler, P.M. Jonas, BioRxiv (n.d.).
corr_author: '1'
date_created: 2024-12-19T11:35:08Z
date_published: 2024-05-02T00:00:00Z
date_updated: 2026-10-20T08:20:04Z
day: '02'
department:
- _id: JoDa
- _id: PeJo
doi: 10.1101/2024.05.02.592169
ec_funded: 1
fulldoi: https://doi.org/10.1101/2024.05.02.592169
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1101/2024.05.02.592169
month: '05'
oa: 1
oa_version: Preprint
project:
- _id: fc2be41b-9c52-11eb-aca3-faa90aa144e9
  call_identifier: H2020
  grant_number: '101026635'
  name: Synaptic computations of the hippocampal CA3 circuitry
- _id: 26AA4EF2-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: W1232-B24
  name: Molecular Drug Targets
- _id: 6285a163-2b32-11ec-9570-8e204ca2dba5
  grant_number: '26137'
  name: Studying Organelle Structure and Function at Nanoscale Resolution with Expansion
    Microscopy
publication: bioRxiv
publication_status: draft
related_material:
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status: public
title: Human hippocampal CA3 uses specific functional connectivity rules for efficient
  associative memory
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '14257'
abstract:
- lang: eng
  text: Mapping the complex and dense arrangement of cells and their connectivity
    in brain tissue demands nanoscale spatial resolution imaging. Super-resolution
    optical microscopy excels at visualizing specific molecules and individual cells
    but fails to provide tissue context. Here we developed Comprehensive Analysis
    of Tissues across Scales (CATS), a technology to densely map brain tissue architecture
    from millimeter regional to nanometer synaptic scales in diverse chemically fixed
    brain preparations, including rodent and human. CATS uses fixation-compatible
    extracellular labeling and optical imaging, including stimulated emission depletion
    or expansion microscopy, to comprehensively delineate cellular structures. It
    enables three-dimensional reconstruction of single synapses and mapping of synaptic
    connectivity by identification and analysis of putative synaptic cleft regions.
    Applying CATS to the mouse hippocampal mossy fiber circuitry, we reconstructed
    and quantified the synaptic input and output structure of identified neurons.
    We furthermore demonstrate applicability to clinically derived human tissue samples,
    including formalin-fixed paraffin-embedded routine diagnostic specimens, for visualizing
    the cellular architecture of brain tissue in health and disease.
acknowledged_ssus:
- _id: ScienComp
- _id: Bio
- _id: PreCl
- _id: LifeSc
- _id: M-Shop
- _id: E-Lib
acknowledgement: 'We thank J. Vorlaufer, N. Agudelo-Dueñas, W. Jahr and A. Wartak
  for microscope maintenance and troubleshooting; C. Kreuzinger, A. Freeman and I.
  Erber for technical assistance; and M. Tomschik for support with obtaining human
  samples. We gratefully acknowledge E. Miguel for setting up webKnossos and M. Šuplata
  for computational support and hardware control. We are grateful to R. Shigemoto
  and B. Bickel for generous support and M. Sixt and S. Boyd (Stanford University)
  for discussions and critical reading of the paper. PSD95-HaloTag mice were kindly
  provided by S. Grant (University of Edinburgh). We acknowledge expert support by
  Institute of Science and Technology Austria’s scientific computing, imaging and
  optics, preclinical and lab support facilities and by the Miba machine shop and
  library. We gratefully acknowledge funding by the following sources: Austrian Science
  Fund (FWF) grant I3600-B27 (J.G.D.); Austrian Science Fund (FWF) grant DK W1232
  (J.G.D. and J.M.M.); Austrian Science Fund (FWF) grant Z 312-B27, Wittgenstein award
  (P.J.); Austrian Science Fund (FWF) projects I4685-B, I6565-B (SYNABS) and DOC 33-B27
  (R.H.); Gesellschaft für Forschungsförderung NÖ (NFB) grant LSC18-022 (J.G.D.);
  European Union’s Horizon 2020 research and innovation programme, European Research
  Council (ERC) grant 715508 – REVERSEAUTISM (G.N.); European Union’s Horizon 2020
  research and innovation programme, European Research Council (ERC) grant 692692
  – GIANTSYN (P.J.); Marie Skłodowska-Curie Actions Fellowship GA no. 665385 under
  the EU Horizon 2020 program (J.M.M. and J.L.); and Marie Skłodowska-Curie Actions
  Individual Fellowship no. 101026635 under the EU Horizon 2020 program (J.F.W.).'
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Julia M
  full_name: Michalska, Julia M
  id: 443DB6DE-F248-11E8-B48F-1D18A9856A87
  last_name: Michalska
  orcid: 0000-0003-3862-1235
- first_name: Julia
  full_name: Lyudchik, Julia
  id: 46E28B80-F248-11E8-B48F-1D18A9856A87
  last_name: Lyudchik
- first_name: Philipp
  full_name: Velicky, Philipp
  id: 39BDC62C-F248-11E8-B48F-1D18A9856A87
  last_name: Velicky
  orcid: 0000-0002-2340-7431
- first_name: Hana
  full_name: Korinkova, Hana
  id: ee3cb6ca-ec98-11ea-ae11-ff703e2254ed
  last_name: Korinkova
- first_name: Jake
  full_name: Watson, Jake
  id: 63836096-4690-11EA-BD4E-32803DDC885E
  last_name: Watson
  orcid: 0000-0002-8698-3823
- first_name: Alban
  full_name: Cenameri, Alban
  id: 9ac8f577-2357-11eb-997a-e566c5550886
  last_name: Cenameri
- first_name: Christoph M
  full_name: Sommer, Christoph M
  id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87
  last_name: Sommer
  orcid: 0000-0003-1216-9105
- first_name: Nicole
  full_name: Amberg, Nicole
  id: 4CD6AAC6-F248-11E8-B48F-1D18A9856A87
  last_name: Amberg
  orcid: 0000-0002-3183-8207
- first_name: Alessandro
  full_name: Venturino, Alessandro
  id: 41CB84B2-F248-11E8-B48F-1D18A9856A87
  last_name: Venturino
  orcid: 0000-0003-2356-9403
- first_name: Karl
  full_name: Roessler, Karl
  last_name: Roessler
- first_name: Thomas
  full_name: Czech, Thomas
  last_name: Czech
- first_name: Romana
  full_name: Höftberger, Romana
  last_name: Höftberger
- first_name: Sandra
  full_name: Siegert, Sandra
  id: 36ACD32E-F248-11E8-B48F-1D18A9856A87
  last_name: Siegert
  orcid: 0000-0001-8635-0877
- first_name: Gaia
  full_name: Novarino, Gaia
  id: 3E57A680-F248-11E8-B48F-1D18A9856A87
  last_name: Novarino
  orcid: 0000-0002-7673-7178
- first_name: Peter M
  full_name: Jonas, Peter M
  id: 353C1B58-F248-11E8-B48F-1D18A9856A87
  last_name: Jonas
  orcid: 0000-0001-5001-4804
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
citation:
  ama: Michalska JM, Lyudchik J, Velicky P, et al. Imaging brain tissue architecture
    across millimeter to nanometer scales. <i>Nature Biotechnology</i>. 2024;42:1051-1064.
    doi:<a href="https://doi.org/10.1038/s41587-023-01911-8">10.1038/s41587-023-01911-8</a>
  apa: Michalska, J. M., Lyudchik, J., Velicky, P., Korinkova, H., Watson, J., Cenameri,
    A., … Danzl, J. G. (2024). Imaging brain tissue architecture across millimeter
    to nanometer scales. <i>Nature Biotechnology</i>. Springer Nature. <a href="https://doi.org/10.1038/s41587-023-01911-8">https://doi.org/10.1038/s41587-023-01911-8</a>
  chicago: Michalska, Julia M, Julia Lyudchik, Philipp Velicky, Hana Korinkova, Jake
    Watson, Alban Cenameri, Christoph M Sommer, et al. “Imaging Brain Tissue Architecture
    across Millimeter to Nanometer Scales.” <i>Nature Biotechnology</i>. Springer
    Nature, 2024. <a href="https://doi.org/10.1038/s41587-023-01911-8">https://doi.org/10.1038/s41587-023-01911-8</a>.
  ieee: J. M. Michalska <i>et al.</i>, “Imaging brain tissue architecture across millimeter
    to nanometer scales,” <i>Nature Biotechnology</i>, vol. 42. Springer Nature, pp.
    1051–1064, 2024.
  ista: Michalska JM, Lyudchik J, Velicky P, Korinkova H, Watson J, Cenameri A, Sommer
    CM, Amberg N, Venturino A, Roessler K, Czech T, Höftberger R, Siegert S, Novarino
    G, Jonas PM, Danzl JG. 2024. Imaging brain tissue architecture across millimeter
    to nanometer scales. Nature Biotechnology. 42, 1051–1064.
  mla: Michalska, Julia M., et al. “Imaging Brain Tissue Architecture across Millimeter
    to Nanometer Scales.” <i>Nature Biotechnology</i>, vol. 42, Springer Nature, 2024,
    pp. 1051–64, doi:<a href="https://doi.org/10.1038/s41587-023-01911-8">10.1038/s41587-023-01911-8</a>.
  short: J.M. Michalska, J. Lyudchik, P. Velicky, H. Korinkova, J. Watson, A. Cenameri,
    C.M. Sommer, N. Amberg, A. Venturino, K. Roessler, T. Czech, R. Höftberger, S.
    Siegert, G. Novarino, P.M. Jonas, J.G. Danzl, Nature Biotechnology 42 (2024) 1051–1064.
corr_author: '1'
das_tickbox: '1'
date_created: 2023-09-03T22:01:15Z
date_published: 2024-07-01T00:00:00Z
date_updated: 2026-10-21T08:36:20Z
day: '01'
ddc:
- '570'
department:
- _id: SaSi
- _id: GaNo
- _id: PeJo
- _id: JoDa
- _id: Bio
- _id: RySh
doi: 10.1038/s41587-023-01911-8
ec_funded: 1
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isi: 1
language:
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month: '07'
oa: 1
oa_version: Published Version
page: 1051-1064
pmid: 1
project:
- _id: 265CB4D0-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: I03600
  name: Optical control of synaptic function via adhesion molecules
- _id: 2548AE96-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: W1232
  name: Molecular Drug Targets
- _id: 25C5A090-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: Z00312
  name: Synaptic communication in neuronal microcircuits
- _id: 23889792-32DE-11EA-91FC-C7463DDC885E
  grant_number: LS18-022
  name: High content imaging to decode human immune cell interactions in health and
    allergic disease
- _id: 25444568-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '715508'
  name: Probing the Reversibility of Autism Spectrum Disorders by Employing in vivo
    and in vitro Models
- _id: 25B7EB9E-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '692692'
  name: Biophysics and circuit function of a giant cortical glutamatergic synapse
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
- _id: fc2be41b-9c52-11eb-aca3-faa90aa144e9
  call_identifier: H2020
  grant_number: '101026635'
  name: Synaptic computations of the hippocampal CA3 circuitry
publication: Nature Biotechnology
publication_identifier:
  eissn:
  - 1546-1696
  issn:
  - 1087-0156
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  link:
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    url: https://github.com/danzllab/CATS
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    relation: dissertation_contains
    status: deleted
  - id: '13126'
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researchdata_availability: yes
scopus_import: '1'
status: public
supplementarymaterial: yes
title: Imaging brain tissue architecture across millimeter to nanometer scales
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
volume: 42
year: '2024'
...
---
OA_place: publisher
_id: '18674'
abstract:
- lang: eng
  text: Mapping the complex and dense arrangement of cells and their connectivity
    in brain tissue requires volumetric imaging at nanoscale spatial resolution. While
    light microscopy excels at visualizing specific molecules and individual cells,
    achieving dense, synapse-level circuit reconstruction has not been possible with
    any light microscopy technique. Thus, the goal of my work was to develop image
    and data analysis pipelines for brain tissue visualization and reconstruction
    with light microscopy. To achieve dense circuit reconstruction with single-synapse
    resolution, I developed both conventional and deep-learning-based synapse detection
    algorithms, as well as connectivity analysis pipelines that integrate synapse
    detection with volumetric segmentation of brain tissue.
acknowledged_ssus:
- _id: Bio
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Julia
  full_name: Lyudchik, Julia
  id: 46E28B80-F248-11E8-B48F-1D18A9856A87
  last_name: Lyudchik
citation:
  ama: Lyudchik J. Image analysis for brain tissue reconstruction with super-resolution
    light microscopy. 2024. doi:<a href="https://doi.org/10.15479/at:ista:18674">10.15479/at:ista:18674</a>
  apa: Lyudchik, J. (2024). <i>Image analysis for brain tissue reconstruction with
    super-resolution light microscopy</i>. Institute of Science and Technology Austria.
    <a href="https://doi.org/10.15479/at:ista:18674">https://doi.org/10.15479/at:ista:18674</a>
  chicago: Lyudchik, Julia. “Image Analysis for Brain Tissue Reconstruction with Super-Resolution
    Light Microscopy.” Institute of Science and Technology Austria, 2024. <a href="https://doi.org/10.15479/at:ista:18674">https://doi.org/10.15479/at:ista:18674</a>.
  ieee: J. Lyudchik, “Image analysis for brain tissue reconstruction with super-resolution
    light microscopy,” Institute of Science and Technology Austria, 2024.
  ista: Lyudchik J. 2024. Image analysis for brain tissue reconstruction with super-resolution
    light microscopy. Institute of Science and Technology Austria.
  mla: Lyudchik, Julia. <i>Image Analysis for Brain Tissue Reconstruction with Super-Resolution
    Light Microscopy</i>. Institute of Science and Technology Austria, 2024, doi:<a
    href="https://doi.org/10.15479/at:ista:18674">10.15479/at:ista:18674</a>.
  short: J. Lyudchik, Image Analysis for Brain Tissue Reconstruction with Super-Resolution
    Light Microscopy, Institute of Science and Technology Austria, 2024.
corr_author: '1'
das_tickbox: '0'
date_created: 2024-12-18T14:24:43Z
date_published: 2024-12-18T00:00:00Z
date_updated: 2026-10-21T08:36:19Z
day: '18'
ddc:
- '004'
degree_awarded: PhD
department:
- _id: GradSch
- _id: JoDa
doi: 10.15479/at:ista:18674
doi_confirm: '1'
ec_funded: 1
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month: '12'
oa: 1
oa_version: Published Version
page: '217'
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
publication_identifier:
  isbn:
  - ' 978-3-99078-051-0'
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
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  - id: '11160'
    relation: part_of_dissertation
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  - id: '13267'
    relation: part_of_dissertation
    status: public
  - id: '18677'
    relation: part_of_dissertation
    status: public
  - id: '14257'
    relation: part_of_dissertation
    status: public
researchdata_availability: no
status: public
supervisor:
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
supplementarymaterial: no
title: Image analysis for brain tissue reconstruction with super-resolution light
  microscopy
tmp:
  image: /images/cc_by_nc_nd.png
  legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
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    (CC BY-NC-ND 4.0)
  short: CC BY-NC-ND (4.0)
type: dissertation
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year: '2024'
...
---
OA_place: publisher
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abstract:
- lang: eng
  text: "Spatial omics technologies are enriching our understanding of complex biological
    samples, by\r\nallowing us to study their molecular composition while preserving
    the spatial relationships\r\nbetween molecules in their native context. As the
    field continues to advance, there are\r\ntechnical challenges that need to be
    addressed in order to take full advantage of the spatial\r\ncapabilities of these
    methods. In this work, I present two technical developments that I\r\nestablished
    for multiplexed error robust FISH (MERFISH) throughout my PhD: (1) pushing the\r\nspatial
    resolution limits to the nanoscale, and (2) adding rich tissue context to the
    mouse brain\r\ntranscriptome. To achieve nanoscale resolution with MERFISH in
    cultured cells, I combined it\r\nwith stimulated emission depletion (STED) and
    expansion microscopy (ExM) to achieve a\r\nspatial resolution as low as ~20 nm,
    and explored the compatibility of MERFISH with singlemolecule localization microscopy
    (SMLM) techniques. To visualize targeted mRNAs in mouse\r\nbrain tissue, I applied
    the comprehensive analysis of tissues across scales (CATS) toolbox, which\r\nprovides
    an unbiased morphological readout by labeling the extracellular domain. I\r\nsuccessfully
    established this method, which we call CATS-MERFISH-ExM, to work with thick\r\nmouse
    brain slices, being able to extract transcriptomics information with 3D tissue
    context.\r\nCATS-MERFISH-ExM enabled us to identify cell types and further visualize
    the subcellular\r\ndistribution of transcripts in mouse brain tissue, shedding
    light on the neuropil-specific\r\ntranscriptome. This method provides integrated
    information on cellular structure and\r\ntranscriptomes in situ, and could potentially
    be applied with other modalities, opening new\r\navenues for scientific discovery. "
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
- _id: PreCl
- _id: M-Shop
- _id: ScienComp
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Nathalie
  full_name: Agudelo Duenas, Nathalie
  id: 40E7F008-F248-11E8-B48F-1D18A9856A87
  last_name: Agudelo Duenas
citation:
  ama: Agudelo Duenas N. Visualizing the neuronal transcriptional landscape with tissue
    context. 2024. doi:<a href="https://doi.org/10.15479/at:ista:18471">10.15479/at:ista:18471</a>
  apa: Agudelo Duenas, N. (2024). <i>Visualizing the neuronal transcriptional landscape
    with tissue context</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:18471">https://doi.org/10.15479/at:ista:18471</a>
  chicago: Agudelo Duenas, Nathalie. “Visualizing the Neuronal Transcriptional Landscape
    with Tissue Context.” Institute of Science and Technology Austria, 2024. <a href="https://doi.org/10.15479/at:ista:18471">https://doi.org/10.15479/at:ista:18471</a>.
  ieee: N. Agudelo Duenas, “Visualizing the neuronal transcriptional landscape with
    tissue context,” Institute of Science and Technology Austria, 2024.
  ista: Agudelo Duenas N. 2024. Visualizing the neuronal transcriptional landscape
    with tissue context. Institute of Science and Technology Austria.
  mla: Agudelo Duenas, Nathalie. <i>Visualizing the Neuronal Transcriptional Landscape
    with Tissue Context</i>. Institute of Science and Technology Austria, 2024, doi:<a
    href="https://doi.org/10.15479/at:ista:18471">10.15479/at:ista:18471</a>.
  short: N. Agudelo Duenas, Visualizing the Neuronal Transcriptional Landscape with
    Tissue Context, Institute of Science and Technology Austria, 2024.
corr_author: '1'
date_created: 2024-10-26T20:02:42Z
date_published: 2024-10-28T00:00:00Z
date_updated: 2026-10-02T11:26:48Z
day: '28'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: GradSch
- _id: JoDa
doi: 10.15479/at:ista:18471
doi_confirm: '1'
ec_funded: 1
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file_date_updated: 2025-05-05T22:30:04Z
fulldoi: https://doi.org/10.15479/at:ista:18471
has_accepted_license: '1'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: '97'
project:
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
- _id: 2548AE96-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: W1232
  name: Molecular Drug Targets
publication_identifier:
  isbn:
  - 978-3-99078-044-2
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
researchdata_availability: unclear
status: public
supervisor:
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
supplementarymaterial: unclear
title: Visualizing the neuronal transcriptional landscape with tissue context
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: dissertation
user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345
year: '2024'
...
---
_id: '12115'
acknowledgement: This work was supported by European Commission’s Seventh Framework
  Programme under Grant Agreement No. 279113 (OCTIPS; www.octips.eu).
article_processing_charge: No
article_type: original
author:
- first_name: Jacek
  full_name: Glajzer, Jacek
  last_name: Glajzer
- first_name: Dan Cacsire
  full_name: Castillo-Tong, Dan Cacsire
  last_name: Castillo-Tong
- first_name: Rolf
  full_name: Richter, Rolf
  last_name: Richter
- first_name: Ignace
  full_name: Vergote, Ignace
  last_name: Vergote
- first_name: Hagen
  full_name: Kulbe, Hagen
  last_name: Kulbe
- first_name: Adriaan
  full_name: Vanderstichele, Adriaan
  last_name: Vanderstichele
- first_name: Ilary
  full_name: Ruscito, Ilary
  last_name: Ruscito
- first_name: Fabian
  full_name: Trillsch, Fabian
  last_name: Trillsch
- first_name: Alexander
  full_name: Mustea, Alexander
  last_name: Mustea
- first_name: Caroline
  full_name: Kreuzinger, Caroline
  id: 382077BA-F248-11E8-B48F-1D18A9856A87
  last_name: Kreuzinger
- first_name: Charlie
  full_name: Gourley, Charlie
  last_name: Gourley
- first_name: Hani
  full_name: Gabra, Hani
  last_name: Gabra
- first_name: Eliane T.
  full_name: Taube, Eliane T.
  last_name: Taube
- first_name: Oliver
  full_name: Dorigo, Oliver
  last_name: Dorigo
- first_name: David
  full_name: Horst, David
  last_name: Horst
- first_name: Carlotta
  full_name: Keunecke, Carlotta
  last_name: Keunecke
- first_name: Joanna
  full_name: Baum, Joanna
  last_name: Baum
- first_name: Timothy
  full_name: Angelotti, Timothy
  last_name: Angelotti
- first_name: Jalid
  full_name: Sehouli, Jalid
  last_name: Sehouli
- first_name: Elena Ioana
  full_name: Braicu, Elena Ioana
  last_name: Braicu
citation:
  ama: 'Glajzer J, Castillo-Tong DC, Richter R, et al. ASO Visual Abstract: Impact
    of BRCA mutation status on tumor dissemination pattern, surgical outcome, and
    patient survival in primary and recurrent high-grade serous ovarian cancer (HGSOC).
    A multicenter, retrospective study of the ovarian cancer therapy—innovative models
    prolong survival (OCTIPS) consortium. <i>Annals of Surgical Oncology</i>. 2023;30:46-47.
    doi:<a href="https://doi.org/10.1245/s10434-022-12681-z">10.1245/s10434-022-12681-z</a>'
  apa: 'Glajzer, J., Castillo-Tong, D. C., Richter, R., Vergote, I., Kulbe, H., Vanderstichele,
    A., … Braicu, E. I. (2023). ASO Visual Abstract: Impact of BRCA mutation status
    on tumor dissemination pattern, surgical outcome, and patient survival in primary
    and recurrent high-grade serous ovarian cancer (HGSOC). A multicenter, retrospective
    study of the ovarian cancer therapy—innovative models prolong survival (OCTIPS)
    consortium. <i>Annals of Surgical Oncology</i>. Springer Nature. <a href="https://doi.org/10.1245/s10434-022-12681-z">https://doi.org/10.1245/s10434-022-12681-z</a>'
  chicago: 'Glajzer, Jacek, Dan Cacsire Castillo-Tong, Rolf Richter, Ignace Vergote,
    Hagen Kulbe, Adriaan Vanderstichele, Ilary Ruscito, et al. “ASO Visual Abstract:
    Impact of BRCA Mutation Status on Tumor Dissemination Pattern, Surgical Outcome,
    and Patient Survival in Primary and Recurrent High-Grade Serous Ovarian Cancer
    (HGSOC). A Multicenter, Retrospective Study of the Ovarian Cancer Therapy—Innovative
    Models Prolong Survival (OCTIPS) Consortium.” <i>Annals of Surgical Oncology</i>.
    Springer Nature, 2023. <a href="https://doi.org/10.1245/s10434-022-12681-z">https://doi.org/10.1245/s10434-022-12681-z</a>.'
  ieee: 'J. Glajzer <i>et al.</i>, “ASO Visual Abstract: Impact of BRCA mutation status
    on tumor dissemination pattern, surgical outcome, and patient survival in primary
    and recurrent high-grade serous ovarian cancer (HGSOC). A multicenter, retrospective
    study of the ovarian cancer therapy—innovative models prolong survival (OCTIPS)
    consortium,” <i>Annals of Surgical Oncology</i>, vol. 30. Springer Nature, pp.
    46–47, 2023.'
  ista: 'Glajzer J, Castillo-Tong DC, Richter R, Vergote I, Kulbe H, Vanderstichele
    A, Ruscito I, Trillsch F, Mustea A, Kreuzinger C, Gourley C, Gabra H, Taube ET,
    Dorigo O, Horst D, Keunecke C, Baum J, Angelotti T, Sehouli J, Braicu EI. 2023.
    ASO Visual Abstract: Impact of BRCA mutation status on tumor dissemination pattern,
    surgical outcome, and patient survival in primary and recurrent high-grade serous
    ovarian cancer (HGSOC). A multicenter, retrospective study of the ovarian cancer
    therapy—innovative models prolong survival (OCTIPS) consortium. Annals of Surgical
    Oncology. 30, 46–47.'
  mla: 'Glajzer, Jacek, et al. “ASO Visual Abstract: Impact of BRCA Mutation Status
    on Tumor Dissemination Pattern, Surgical Outcome, and Patient Survival in Primary
    and Recurrent High-Grade Serous Ovarian Cancer (HGSOC). A Multicenter, Retrospective
    Study of the Ovarian Cancer Therapy—Innovative Models Prolong Survival (OCTIPS)
    Consortium.” <i>Annals of Surgical Oncology</i>, vol. 30, Springer Nature, 2023,
    pp. 46–47, doi:<a href="https://doi.org/10.1245/s10434-022-12681-z">10.1245/s10434-022-12681-z</a>.'
  short: J. Glajzer, D.C. Castillo-Tong, R. Richter, I. Vergote, H. Kulbe, A. Vanderstichele,
    I. Ruscito, F. Trillsch, A. Mustea, C. Kreuzinger, C. Gourley, H. Gabra, E.T.
    Taube, O. Dorigo, D. Horst, C. Keunecke, J. Baum, T. Angelotti, J. Sehouli, E.I.
    Braicu, Annals of Surgical Oncology 30 (2023) 46–47.
date_created: 2023-01-12T11:56:22Z
date_published: 2023-01-01T00:00:00Z
date_updated: 2026-06-18T17:21:25Z
day: '01'
ddc:
- '570'
department:
- _id: JoDa
doi: 10.1245/s10434-022-12681-z
external_id:
  isi:
  - '000879151800001'
fulldoi: https://doi.org/10.1245/s10434-022-12681-z
intvolume: '        30'
isi: 1
keyword:
- Oncology
- Surgery
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://doi.org/10.1245/s10434-022-12681-z
month: '01'
oa: 1
oa_version: Published Version
page: 46-47
publication: Annals of Surgical Oncology
publication_identifier:
  eissn:
  - 1534-4681
  issn:
  - 1068-9265
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  record:
  - id: '12205'
    relation: other
    status: public
scopus_import: '1'
status: public
title: 'ASO Visual Abstract: Impact of BRCA mutation status on tumor dissemination
  pattern, surgical outcome, and patient survival in primary and recurrent high-grade
  serous ovarian cancer (HGSOC). A multicenter, retrospective study of the ovarian
  cancer therapy—innovative models prolong survival (OCTIPS) consortium'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 30
year: '2023'
...
---
_id: '12205'
abstract:
- lang: eng
  text: "Background: This study seeks to evaluate the impact of breast cancer (BRCA)
    gene status on tumor dissemination pattern, surgical outcome and survival in a
    multicenter cohort of paired primary ovarian cancer (pOC) and recurrent ovarian
    cancer (rOC).\r\n\r\nPatients and Methods: Medical records and follow-up data
    from 190 patients were gathered retrospectively. All patients had surgery at pOC
    and at least one further rOC surgery at four European high-volume centers. Patients
    were divided into one cohort with confirmed mutation for BRCA1 and/or BRCA2 (BRCAmut)
    and a second cohort with BRCA wild type or unknown (BRCAwt). Patterns of tumor
    presentation, surgical outcome and survival data were analyzed between the two
    groups.\r\n\r\nResults: Patients with BRCAmut disease were on average 4 years
    younger and had significantly more tumor involvement upon diagnosis. Patients
    with BRCAmut disease showed higher debulking rates at all stages. Multivariate
    analysis showed that only patient age had significant predictive value for complete
    tumor resection in pOC. At rOC, however, only BRCAmut status significantly correlated
    with optimal debulking. Patients with BRCAmut disease showed significantly prolonged
    overall survival (OS) by 24.3 months. Progression-free survival (PFS) was prolonged
    in the BRCAmut group at all stages as well, reaching statistical significance
    during recurrence.\r\n\r\nConclusions: Patients with BRCAmut disease showed a
    more aggressive course of disease with earlier onset and more extensive tumor
    dissemination at pOC. However, surgical outcome and OS were significantly better
    in patients with BRCAmut disease compared with patients with BRCAwt disease. We
    therefore propose to consider BRCAmut status in regard to patient selection for
    cytoreductive surgery, especially in rOC."
acknowledgement: "E.I.B. is a Feodor Lynen fellow of the Humboldt Foundation and a
  participant of the Charité Clinical Scientist Program funded by the Charité Universitätsmedizin
  Berlin and the Berlin Institute of Health. This work was supported by European Commission’s
  Seventh Framework Programme under grant agreement no. 279113 (OCTIPS; www.octips.eu).\r\nOpen
  Access funding enabled and organized by Projekt DEAL."
article_processing_charge: No
article_type: original
author:
- first_name: Jacek
  full_name: Glajzer, Jacek
  last_name: Glajzer
- first_name: Dan Cacsire
  full_name: Castillo-Tong, Dan Cacsire
  last_name: Castillo-Tong
- first_name: Rolf
  full_name: Richter, Rolf
  last_name: Richter
- first_name: Ignace
  full_name: Vergote, Ignace
  last_name: Vergote
- first_name: Hagen
  full_name: Kulbe, Hagen
  last_name: Kulbe
- first_name: Adriaan
  full_name: Vanderstichele, Adriaan
  last_name: Vanderstichele
- first_name: Ilary
  full_name: Ruscito, Ilary
  last_name: Ruscito
- first_name: Fabian
  full_name: Trillsch, Fabian
  last_name: Trillsch
- first_name: Alexander
  full_name: Mustea, Alexander
  last_name: Mustea
- first_name: Caroline
  full_name: Kreuzinger, Caroline
  id: 382077BA-F248-11E8-B48F-1D18A9856A87
  last_name: Kreuzinger
- first_name: Charlie
  full_name: Gourley, Charlie
  last_name: Gourley
- first_name: Hani
  full_name: Gabra, Hani
  last_name: Gabra
- first_name: Eliane T.
  full_name: Taube, Eliane T.
  last_name: Taube
- first_name: Oliver
  full_name: Dorigo, Oliver
  last_name: Dorigo
- first_name: David
  full_name: Horst, David
  last_name: Horst
- first_name: Carlotta
  full_name: Keunecke, Carlotta
  last_name: Keunecke
- first_name: Joanna
  full_name: Baum, Joanna
  last_name: Baum
- first_name: Timothy
  full_name: Angelotti, Timothy
  last_name: Angelotti
- first_name: Jalid
  full_name: Sehouli, Jalid
  last_name: Sehouli
- first_name: Elena Ioana
  full_name: Braicu, Elena Ioana
  last_name: Braicu
citation:
  ama: 'Glajzer J, Castillo-Tong DC, Richter R, et al. Impact of BRCA mutation status
    on tumor dissemination pattern, surgical outcome and patient survival in primary
    and recurrent high-grade serous ovarian cancer: A multicenter retrospective study
    by the Ovarian Cancer Therapy-Innovative Models Prolong Survival (OCTIPS) consortium.
    <i>Annals of Surgical Oncology</i>. 2023;30:35-45. doi:<a href="https://doi.org/10.1245/s10434-022-12459-3">10.1245/s10434-022-12459-3</a>'
  apa: 'Glajzer, J., Castillo-Tong, D. C., Richter, R., Vergote, I., Kulbe, H., Vanderstichele,
    A., … Braicu, E. I. (2023). Impact of BRCA mutation status on tumor dissemination
    pattern, surgical outcome and patient survival in primary and recurrent high-grade
    serous ovarian cancer: A multicenter retrospective study by the Ovarian Cancer
    Therapy-Innovative Models Prolong Survival (OCTIPS) consortium. <i>Annals of Surgical
    Oncology</i>. Springer Nature. <a href="https://doi.org/10.1245/s10434-022-12459-3">https://doi.org/10.1245/s10434-022-12459-3</a>'
  chicago: 'Glajzer, Jacek, Dan Cacsire Castillo-Tong, Rolf Richter, Ignace Vergote,
    Hagen Kulbe, Adriaan Vanderstichele, Ilary Ruscito, et al. “Impact of BRCA Mutation
    Status on Tumor Dissemination Pattern, Surgical Outcome and Patient Survival in
    Primary and Recurrent High-Grade Serous Ovarian Cancer: A Multicenter Retrospective
    Study by the Ovarian Cancer Therapy-Innovative Models Prolong Survival (OCTIPS) Consortium.”
    <i>Annals of Surgical Oncology</i>. Springer Nature, 2023. <a href="https://doi.org/10.1245/s10434-022-12459-3">https://doi.org/10.1245/s10434-022-12459-3</a>.'
  ieee: 'J. Glajzer <i>et al.</i>, “Impact of BRCA mutation status on tumor dissemination
    pattern, surgical outcome and patient survival in primary and recurrent high-grade
    serous ovarian cancer: A multicenter retrospective study by the Ovarian Cancer
    Therapy-Innovative Models Prolong Survival (OCTIPS) consortium,” <i>Annals of
    Surgical Oncology</i>, vol. 30. Springer Nature, pp. 35–45, 2023.'
  ista: 'Glajzer J, Castillo-Tong DC, Richter R, Vergote I, Kulbe H, Vanderstichele
    A, Ruscito I, Trillsch F, Mustea A, Kreuzinger C, Gourley C, Gabra H, Taube ET,
    Dorigo O, Horst D, Keunecke C, Baum J, Angelotti T, Sehouli J, Braicu EI. 2023.
    Impact of BRCA mutation status on tumor dissemination pattern, surgical outcome
    and patient survival in primary and recurrent high-grade serous ovarian cancer:
    A multicenter retrospective study by the Ovarian Cancer Therapy-Innovative Models
    Prolong Survival (OCTIPS) consortium. Annals of Surgical Oncology. 30, 35–45.'
  mla: 'Glajzer, Jacek, et al. “Impact of BRCA Mutation Status on Tumor Dissemination
    Pattern, Surgical Outcome and Patient Survival in Primary and Recurrent High-Grade
    Serous Ovarian Cancer: A Multicenter Retrospective Study by the Ovarian Cancer
    Therapy-Innovative Models Prolong Survival (OCTIPS) Consortium.” <i>Annals of
    Surgical Oncology</i>, vol. 30, Springer Nature, 2023, pp. 35–45, doi:<a href="https://doi.org/10.1245/s10434-022-12459-3">10.1245/s10434-022-12459-3</a>.'
  short: J. Glajzer, D.C. Castillo-Tong, R. Richter, I. Vergote, H. Kulbe, A. Vanderstichele,
    I. Ruscito, F. Trillsch, A. Mustea, C. Kreuzinger, C. Gourley, H. Gabra, E.T.
    Taube, O. Dorigo, D. Horst, C. Keunecke, J. Baum, T. Angelotti, J. Sehouli, E.I.
    Braicu, Annals of Surgical Oncology 30 (2023) 35–45.
date_created: 2023-01-16T09:44:36Z
date_published: 2023-01-01T00:00:00Z
date_updated: 2026-06-18T17:21:24Z
day: '01'
ddc:
- '610'
department:
- _id: JoDa
doi: 10.1245/s10434-022-12459-3
external_id:
  isi:
  - '000852125500006'
  pmid:
  - '36085390'
file:
- access_level: open_access
  checksum: 36a1200e1011f4b2155a8041d0308f34
  content_type: application/pdf
  creator: dernst
  date_created: 2023-02-02T13:01:20Z
  date_updated: 2023-02-02T13:01:20Z
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fulldoi: https://doi.org/10.1245/s10434-022-12459-3
has_accepted_license: '1'
intvolume: '        30'
isi: 1
keyword:
- Oncology
- Surgery
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
page: 35-45
pmid: 1
publication: Annals of Surgical Oncology
publication_identifier:
  eissn:
  - 1534-4681
  issn:
  - 1068-9265
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
  record:
  - id: '12115'
    relation: other
    status: public
scopus_import: '1'
status: public
title: 'Impact of BRCA mutation status on tumor dissemination pattern, surgical outcome
  and patient survival in primary and recurrent high-grade serous ovarian cancer:
  A multicenter retrospective study by the Ovarian Cancer Therapy-Innovative Models
  Prolong Survival (OCTIPS) consortium'
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
  name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
  short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 30
year: '2023'
...
---
_id: '12817'
abstract:
- lang: eng
  text: 3D-reconstruction of living brain tissue down to individual synapse level
    would create opportunities for decoding the dynamics and structure-function relationships
    of the brain’s complex and dense information processing network. However, it has
    been hindered by insufficient 3D-resolution, inadequate signal-to-noise-ratio,
    and prohibitive light burden in optical imaging, whereas electron microscopy is
    inherently static. Here we solved these challenges by developing an integrated
    optical/machine learning technology, LIONESS (Live Information-Optimized Nanoscopy
    Enabling Saturated Segmentation). It leverages optical modifications to stimulated
    emission depletion (STED) microscopy in comprehensively, extracellularly labelled
    tissue and prior information on sample structure via machine learning to simultaneously
    achieve isotropic super-resolution, high signal-to-noise-ratio, and compatibility
    with living tissue. This allows dense deep-learning-based instance segmentation
    and 3D-reconstruction at synapse level incorporating molecular, activity, and
    morphodynamic information. LIONESS opens up avenues for studying the dynamic functional
    (nano-)architecture of living brain tissue.
acknowledged_ssus:
- _id: ScienComp
- _id: Bio
- _id: PreCl
- _id: LifeSc
- _id: M-Shop
- _id: E-Lib
acknowledgement: 'We thank J. Vorlaufer, N. Agudelo, A. Wartak for microscope maintenance
  and troubleshooting, C. Kreuzinger and A. Freeman for technical assistance, and
  M. Šuplata for hardware control support, and Márcia Cunha dos Santos for initial
  exploration of software. We thank Paul Henderson for advice on deep-learning training
  and Michael Sixt, Scott Boyd, and Tamara Weiss for discussions and critical reading
  of the manuscript. Luke Lavis (Janelia Research Campus) generously provided JF585-HaloTag
  ligand. '
article_processing_charge: No
author:
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
citation:
  ama: Danzl JG. Research data for the publication “Dense 4D nanoscale reconstruction
    of living brain tissue.” 2023. doi:<a href="https://doi.org/10.15479/AT:ISTA:12817">10.15479/AT:ISTA:12817</a>
  apa: Danzl, J. G. (2023). Research data for the publication “Dense 4D nanoscale
    reconstruction of living brain tissue.” Institute of Science and Technology Austria.
    <a href="https://doi.org/10.15479/AT:ISTA:12817">https://doi.org/10.15479/AT:ISTA:12817</a>
  chicago: Danzl, Johann G. “Research Data for the Publication ‘Dense 4D Nanoscale
    Reconstruction of Living Brain Tissue.’” Institute of Science and Technology Austria,
    2023. <a href="https://doi.org/10.15479/AT:ISTA:12817">https://doi.org/10.15479/AT:ISTA:12817</a>.
  ieee: J. G. Danzl, “Research data for the publication ‘Dense 4D nanoscale reconstruction
    of living brain tissue.’” Institute of Science and Technology Austria, 2023.
  ista: Danzl JG. 2023. Research data for the publication ‘Dense 4D nanoscale reconstruction
    of living brain tissue’, Institute of Science and Technology Austria, <a href="https://doi.org/10.15479/AT:ISTA:12817">10.15479/AT:ISTA:12817</a>.
  mla: Danzl, Johann G. <i>Research Data for the Publication “Dense 4D Nanoscale Reconstruction
    of Living Brain Tissue.”</i> Institute of Science and Technology Austria, 2023,
    doi:<a href="https://doi.org/10.15479/AT:ISTA:12817">10.15479/AT:ISTA:12817</a>.
  short: J.G. Danzl, (2023).
contributor:
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  last_name: Velicky
  orcid: 0000-0002-2340-7431
- first_name: Eder
  id: 3FB91342-F248-11E8-B48F-1D18A9856A87
  last_name: Miguel Villalba
- first_name: Julia M
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  last_name: Michalska
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  last_name: Lyudchik
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  last_name: Sommer
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  last_name: Jonas
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  id: 49876194-F248-11E8-B48F-1D18A9856A87
  last_name: Bickel
  orcid: 0000-0001-6511-9385
corr_author: '1'
date_created: 2023-04-07T11:37:40Z
date_published: 2023-05-19T00:00:00Z
date_updated: 2026-04-14T08:34:34Z
day: '19'
ddc:
- '570'
department:
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doi: 10.15479/AT:ISTA:12817
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month: '05'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
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status: public
title: Research data for the publication "Dense 4D nanoscale reconstruction of living
  brain tissue"
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type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
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...
---
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abstract:
- lang: eng
  text: We developed LIONESS, a technology that leverages improvements to optical
    super-resolution microscopy and prior information on sample structure via machine
    learning to overcome the limitations (in 3D-resolution, signal-to-noise ratio
    and light exposure) of optical microscopy of living biological specimens. LIONESS
    enables dense reconstruction of living brain tissue and morphodynamics visualization
    at the nanoscale.
article_processing_charge: No
article_type: letter_note
author:
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
- first_name: Philipp
  full_name: Velicky, Philipp
  id: 39BDC62C-F248-11E8-B48F-1D18A9856A87
  last_name: Velicky
  orcid: 0000-0002-2340-7431
citation:
  ama: Danzl JG, Velicky P. LIONESS enables 4D nanoscale reconstruction of living
    brain tissue. <i>Nature Methods</i>. 2023;20(8):1141-1142. doi:<a href="https://doi.org/10.1038/s41592-023-01937-5">10.1038/s41592-023-01937-5</a>
  apa: Danzl, J. G., &#38; Velicky, P. (2023). LIONESS enables 4D nanoscale reconstruction
    of living brain tissue. <i>Nature Methods</i>. Springer Nature. <a href="https://doi.org/10.1038/s41592-023-01937-5">https://doi.org/10.1038/s41592-023-01937-5</a>
  chicago: Danzl, Johann G, and Philipp Velicky. “LIONESS Enables 4D Nanoscale Reconstruction
    of Living Brain Tissue.” <i>Nature Methods</i>. Springer Nature, 2023. <a href="https://doi.org/10.1038/s41592-023-01937-5">https://doi.org/10.1038/s41592-023-01937-5</a>.
  ieee: J. G. Danzl and P. Velicky, “LIONESS enables 4D nanoscale reconstruction of
    living brain tissue,” <i>Nature Methods</i>, vol. 20, no. 8. Springer Nature,
    pp. 1141–1142, 2023.
  ista: Danzl JG, Velicky P. 2023. LIONESS enables 4D nanoscale reconstruction of
    living brain tissue. Nature Methods. 20(8), 1141–1142.
  mla: Danzl, Johann G., and Philipp Velicky. “LIONESS Enables 4D Nanoscale Reconstruction
    of Living Brain Tissue.” <i>Nature Methods</i>, vol. 20, no. 8, Springer Nature,
    2023, pp. 1141–42, doi:<a href="https://doi.org/10.1038/s41592-023-01937-5">10.1038/s41592-023-01937-5</a>.
  short: J.G. Danzl, P. Velicky, Nature Methods 20 (2023) 1141–1142.
corr_author: '1'
date_created: 2024-01-10T08:07:15Z
date_published: 2023-08-01T00:00:00Z
date_updated: 2026-04-14T08:34:34Z
day: '01'
department:
- _id: JoDa
doi: 10.1038/s41592-023-01937-5
external_id:
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fulldoi: https://doi.org/10.1038/s41592-023-01937-5
intvolume: '        20'
isi: 1
issue: '8'
keyword:
- Cell Biology
- Molecular Biology
- Biochemistry
- Biotechnology
language:
- iso: eng
month: '08'
oa_version: None
page: 1141-1142
publication: Nature Methods
publication_identifier:
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  issn:
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publication_status: published
publisher: Springer Nature
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abstract:
- lang: eng
  text: Three-dimensional (3D) reconstruction of living brain tissue down to an individual
    synapse level would create opportunities for decoding the dynamics and structure–function
    relationships of the brain’s complex and dense information processing network;
    however, this has been hindered by insufficient 3D resolution, inadequate signal-to-noise
    ratio and prohibitive light burden in optical imaging, whereas electron microscopy
    is inherently static. Here we solved these challenges by developing an integrated
    optical/machine-learning technology, LIONESS (live information-optimized nanoscopy
    enabling saturated segmentation). This leverages optical modifications to stimulated
    emission depletion microscopy in comprehensively, extracellularly labeled tissue
    and previous information on sample structure via machine learning to simultaneously
    achieve isotropic super-resolution, high signal-to-noise ratio and compatibility
    with living tissue. This allows dense deep-learning-based instance segmentation
    and 3D reconstruction at a synapse level, incorporating molecular, activity and
    morphodynamic information. LIONESS opens up avenues for studying the dynamic functional
    (nano-)architecture of living brain tissue.
acknowledged_ssus:
- _id: ScienComp
- _id: Bio
- _id: PreCl
- _id: E-Lib
- _id: LifeSc
- _id: M-Shop
acknowledgement: "We thank J. Vorlaufer, N. Agudelo and A. Wartak for microscope maintenance
  and troubleshooting, C. Kreuzinger and A. Freeman for technical assistance, M. Šuplata
  for hardware control support and M. Cunha dos Santos for initial exploration of
  software. We\r\nthank P. Henderson for advice on deep-learning training and M. Sixt,
  S. Boyd and T. Weiss for discussions and critical reading of the manuscript. L.
  Lavis (Janelia Research Campus) generously provided the JF585-HaloTag ligand. We
  acknowledge expert support by IST\r\nAustria’s scientific computing, imaging and
  optics, preclinical, library and laboratory support facilities and by the Miba machine
  shop. We gratefully acknowledge funding by the following sources: Austrian Science
  Fund (F.W.F.) grant no. I3600-B27 (J.G.D.), grant no. DK W1232\r\n(J.G.D. and J.M.M.)
  and grant no. Z 312-B27, Wittgenstein award (P.J.); the Gesellschaft für Forschungsförderung
  NÖ grant no. LSC18-022 (J.G.D.); an ISTA Interdisciplinary project grant (J.G.D.
  and B.B.); the European Union’s Horizon 2020 research and innovation programme,\r\nMarie-Skłodowska
  Curie grant 665385 (J.M.M. and J.L.); the European Union’s Horizon 2020 research
  and innovation programme, European Research Council grant no. 715767, MATERIALIZABLE
  (B.B.); grant no. 715508, REVERSEAUTISM (G.N.); grant no. 695568, SYNNOVATE (S.G.N.G.);
  and grant no. 692692, GIANTSYN (P.J.); the Simons\r\nFoundation Autism Research
  Initiative grant no. 529085 (S.G.N.G.); the Wellcome Trust Technology Development
  grant no. 202932 (S.G.N.G.); the Marie Skłodowska-Curie Actions Individual Fellowship
  no. 101026635 under the EU Horizon 2020 program (J.F.W.);\r\nthe Human Frontier
  Science Program postdoctoral fellowship LT000557/2018 (W.J.); and the National Science
  Foundation grant no. IIS-1835231 (H.P.) and NCS-FO-2124179 (H.P.)."
article_processing_charge: Yes (in subscription journal)
article_type: original
author:
- first_name: Philipp
  full_name: Velicky, Philipp
  id: 39BDC62C-F248-11E8-B48F-1D18A9856A87
  last_name: Velicky
  orcid: 0000-0002-2340-7431
- first_name: Eder
  full_name: Miguel Villalba, Eder
  id: 3FB91342-F248-11E8-B48F-1D18A9856A87
  last_name: Miguel Villalba
  orcid: 0000-0001-5665-0430
- first_name: Julia M
  full_name: Michalska, Julia M
  id: 443DB6DE-F248-11E8-B48F-1D18A9856A87
  last_name: Michalska
  orcid: 0000-0003-3862-1235
- first_name: Julia
  full_name: Lyudchik, Julia
  id: 46E28B80-F248-11E8-B48F-1D18A9856A87
  last_name: Lyudchik
- first_name: Donglai
  full_name: Wei, Donglai
  last_name: Wei
- first_name: Zudi
  full_name: Lin, Zudi
  last_name: Lin
- first_name: Jake
  full_name: Watson, Jake
  id: 63836096-4690-11EA-BD4E-32803DDC885E
  last_name: Watson
  orcid: 0000-0002-8698-3823
- first_name: Jakob
  full_name: Troidl, Jakob
  last_name: Troidl
- first_name: Johanna
  full_name: Beyer, Johanna
  last_name: Beyer
- first_name: Yoav
  full_name: Ben Simon, Yoav
  id: 43DF3136-F248-11E8-B48F-1D18A9856A87
  last_name: Ben Simon
- first_name: Christoph M
  full_name: Sommer, Christoph M
  id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87
  last_name: Sommer
  orcid: 0000-0003-1216-9105
- first_name: Wiebke
  full_name: Jahr, Wiebke
  id: 425C1CE8-F248-11E8-B48F-1D18A9856A87
  last_name: Jahr
  orcid: 0000-0003-0201-2315
- first_name: Alban
  full_name: Cenameri, Alban
  id: 9ac8f577-2357-11eb-997a-e566c5550886
  last_name: Cenameri
- first_name: Johannes
  full_name: Broichhagen, Johannes
  last_name: Broichhagen
- first_name: Seth G.N.
  full_name: Grant, Seth G.N.
  last_name: Grant
- first_name: Peter M
  full_name: Jonas, Peter M
  id: 353C1B58-F248-11E8-B48F-1D18A9856A87
  last_name: Jonas
  orcid: 0000-0001-5001-4804
- first_name: Gaia
  full_name: Novarino, Gaia
  id: 3E57A680-F248-11E8-B48F-1D18A9856A87
  last_name: Novarino
  orcid: 0000-0002-7673-7178
- first_name: Hanspeter
  full_name: Pfister, Hanspeter
  last_name: Pfister
- first_name: Bernd
  full_name: Bickel, Bernd
  id: 49876194-F248-11E8-B48F-1D18A9856A87
  last_name: Bickel
  orcid: 0000-0001-6511-9385
- first_name: Johann G
  full_name: Danzl, Johann G
  id: 42EFD3B6-F248-11E8-B48F-1D18A9856A87
  last_name: Danzl
  orcid: 0000-0001-8559-3973
citation:
  ama: Velicky P, Miguel Villalba E, Michalska JM, et al. Dense 4D nanoscale reconstruction
    of living brain tissue. <i>Nature Methods</i>. 2023;20:1256-1265. doi:<a href="https://doi.org/10.1038/s41592-023-01936-6">10.1038/s41592-023-01936-6</a>
  apa: Velicky, P., Miguel Villalba, E., Michalska, J. M., Lyudchik, J., Wei, D.,
    Lin, Z., … Danzl, J. G. (2023). Dense 4D nanoscale reconstruction of living brain
    tissue. <i>Nature Methods</i>. Springer Nature. <a href="https://doi.org/10.1038/s41592-023-01936-6">https://doi.org/10.1038/s41592-023-01936-6</a>
  chicago: Velicky, Philipp, Eder Miguel Villalba, Julia M Michalska, Julia Lyudchik,
    Donglai Wei, Zudi Lin, Jake Watson, et al. “Dense 4D Nanoscale Reconstruction
    of Living Brain Tissue.” <i>Nature Methods</i>. Springer Nature, 2023. <a href="https://doi.org/10.1038/s41592-023-01936-6">https://doi.org/10.1038/s41592-023-01936-6</a>.
  ieee: P. Velicky <i>et al.</i>, “Dense 4D nanoscale reconstruction of living brain
    tissue,” <i>Nature Methods</i>, vol. 20. Springer Nature, pp. 1256–1265, 2023.
  ista: Velicky P, Miguel Villalba E, Michalska JM, Lyudchik J, Wei D, Lin Z, Watson
    J, Troidl J, Beyer J, Ben Simon Y, Sommer CM, Jahr W, Cenameri A, Broichhagen
    J, Grant SGN, Jonas PM, Novarino G, Pfister H, Bickel B, Danzl JG. 2023. Dense
    4D nanoscale reconstruction of living brain tissue. Nature Methods. 20, 1256–1265.
  mla: Velicky, Philipp, et al. “Dense 4D Nanoscale Reconstruction of Living Brain
    Tissue.” <i>Nature Methods</i>, vol. 20, Springer Nature, 2023, pp. 1256–65, doi:<a
    href="https://doi.org/10.1038/s41592-023-01936-6">10.1038/s41592-023-01936-6</a>.
  short: P. Velicky, E. Miguel Villalba, J.M. Michalska, J. Lyudchik, D. Wei, Z. Lin,
    J. Watson, J. Troidl, J. Beyer, Y. Ben Simon, C.M. Sommer, W. Jahr, A. Cenameri,
    J. Broichhagen, S.G.N. Grant, P.M. Jonas, G. Novarino, H. Pfister, B. Bickel,
    J.G. Danzl, Nature Methods 20 (2023) 1256–1265.
corr_author: '1'
date_created: 2023-07-23T22:01:13Z
date_published: 2023-08-01T00:00:00Z
date_updated: 2026-10-02T11:27:12Z
day: '01'
ddc:
- '570'
department:
- _id: PeJo
- _id: GaNo
- _id: BeBi
- _id: JoDa
- _id: Bio
doi: 10.1038/s41592-023-01936-6
ec_funded: 1
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title: Dense 4D nanoscale reconstruction of living brain tissue
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...
