---
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:10.15479/AT:ISTA:18697
apa: Danzl, J. G., Lyudchik, J., & Kreuzinger, C. (2025). Light-microscopy based
connectomic reconstruction of mammalian brain tissue. Institute of Science and
Technology Austria. https://doi.org/10.15479/AT:ISTA:18697
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. https://doi.org/10.15479/AT:ISTA:18697.
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, 10.15479/AT:ISTA:18697.
mla: Danzl, Johann G., et al. Light-Microscopy Based Connectomic Reconstruction
of Mammalian Brain Tissue. Institute of Science and Technology Austria, 2025,
doi:10.15479/AT:ISTA:18697.
short: J.G. Danzl, J. Lyudchik, C. Kreuzinger, (2025).
contributor:
- contributor_type: researcher
first_name: Mojtaba
id: 3A0A06F4-F248-11E8-B48F-1D18A9856A87
last_name: Tavakoli
orcid: 0000-0002-7667-6854
- contributor_type: researcher
first_name: Julia
id: 46E28B80-F248-11E8-B48F-1D18A9856A87
last_name: Lyudchik
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first_name: Michal
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first_name: Vitali
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last_name: Vistunou
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first_name: Nathalie
id: 40E7F008-F248-11E8-B48F-1D18A9856A87
last_name: Agudelo Duenas
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first_name: Jakob
id: 937696FA-C996-11E9-8C7C-CF13E6697425
last_name: Vorlaufer
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first_name: Christoph M
id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87
last_name: Sommer
orcid: 0000-0003-1216-9105
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first_name: Caroline
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last_name: Kreuzinger
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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'
ddc:
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department:
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doi: 10.15479/AT:ISTA:18697
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oa: 1
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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'
...
---
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. Nature. 2025;642:398-410. doi:10.1038/s41586-025-08985-1
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. Nature. Springer Nature. https://doi.org/10.1038/s41586-025-08985-1
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.” Nature. Springer
Nature, 2025. https://doi.org/10.1038/s41586-025-08985-1.
ieee: M. Tavakoli et al., “Light-microscopy-based connectomic reconstruction
of mammalian brain tissue,” Nature, 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.” Nature, vol. 642, Springer Nature, 2025, pp.
398–410, doi:10.1038/s41586-025-08985-1.
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: 2026-04-28T13:33:34Z
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:
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checksum: ebc99d7108e728f46db0a009292675ef
content_type: application/pdf
creator: dernst
date_created: 2025-07-03T06:55:20Z
date_updated: 2025-07-03T06:55:20Z
file_id: '19959'
file_name: 2025_Nature_Tavakoli.pdf
file_size: 133201290
relation: main_file
success: 1
file_date_updated: 2025-07-03T06:55:20Z
has_accepted_license: '1'
intvolume: ' 642'
isi: 1
language:
- iso: eng
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: '18677'
relation: earlier_version
status: public
- id: '18697'
relation: research_data
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'
...
---
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. Biophysical Reports. 2025;5(2).
doi:10.1016/j.bpr.2025.100211
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. Biophysical Reports. Elsevier. https://doi.org/10.1016/j.bpr.2025.100211
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.” Biophysical
Reports. Elsevier, 2025. https://doi.org/10.1016/j.bpr.2025.100211.
ieee: J. Vorlaufer et al., “Image-based 3D active sample stabilization on
the nanometer scale for optical microscopy,” Biophysical Reports, vol.
5, no. 2. Elsevier, 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.” Biophysical Reports, vol. 5, no.
2, 100211, Elsevier, 2025, doi:10.1016/j.bpr.2025.100211.
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: 2026-04-07T11:48:07Z
day: '11'
ddc:
- '570'
department:
- _id: JoDa
- _id: GradSch
- _id: FlSc
- _id: EM-Fac
doi: 10.1016/j.bpr.2025.100211
ec_funded: 1
file:
- access_level: open_access
checksum: 4018c833f25a3ad3b57e3577fed70334
content_type: application/pdf
creator: dernst
date_created: 2025-06-10T07:24:46Z
date_updated: 2025-06-10T07:24:46Z
file_id: '19802'
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file_size: 7238179
relation: main_file
success: 1
file_date_updated: 2025-06-10T07:24:46Z
has_accepted_license: '1'
intvolume: ' 5'
issue: '2'
language:
- iso: eng
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: Elsevier
quality_controlled: '1'
related_material:
record:
- id: '20206'
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
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. Nature Biotechnology. 2024;42:1051-1064.
doi:10.1038/s41587-023-01911-8
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. Nature Biotechnology. Springer Nature. https://doi.org/10.1038/s41587-023-01911-8
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.” Nature Biotechnology. Springer
Nature, 2024. https://doi.org/10.1038/s41587-023-01911-8.
ieee: J. M. Michalska et al., “Imaging brain tissue architecture across millimeter
to nanometer scales,” Nature Biotechnology, 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.” Nature Biotechnology, vol. 42, Springer Nature, 2024,
pp. 1051–64, doi:10.1038/s41587-023-01911-8.
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'
date_created: 2023-09-03T22:01:15Z
date_published: 2024-07-01T00:00:00Z
date_updated: 2026-04-14T08:34:35Z
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
external_id:
isi:
- '001065254200001'
pmid:
- '37653226'
file:
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checksum: 57d5fafb16f02dcb9f7dddb1bd7e2a71
content_type: application/pdf
creator: dernst
date_created: 2025-01-09T07:48:01Z
date_updated: 2025-01-09T07:48:01Z
file_id: '18784'
file_name: 2024_NatureBiotech_Michalska.pdf
file_size: 26065165
relation: main_file
success: 1
file_date_updated: 2025-01-09T07:48:01Z
has_accepted_license: '1'
intvolume: ' 42'
isi: 1
language:
- iso: eng
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:
- relation: software
url: https://github.com/danzllab/CATS
record:
- id: '18660'
relation: dissertation_contains
status: deleted
- id: '13126'
relation: research_data
status: public
- id: '18674'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
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:10.15479/at:ista:18674
apa: Lyudchik, J. (2024). Image analysis for brain tissue reconstruction with
super-resolution light microscopy. Institute of Science and Technology Austria.
https://doi.org/10.15479/at:ista:18674
chicago: Lyudchik, Julia. “Image Analysis for Brain Tissue Reconstruction with Super-Resolution
Light Microscopy.” Institute of Science and Technology Austria, 2024. https://doi.org/10.15479/at:ista:18674.
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. Image Analysis for Brain Tissue Reconstruction with Super-Resolution
Light Microscopy. Institute of Science and Technology Austria, 2024, doi:10.15479/at:ista:18674.
short: J. Lyudchik, Image Analysis for Brain Tissue Reconstruction with Super-Resolution
Light Microscopy, Institute of Science and Technology Austria, 2024.
corr_author: '1'
date_created: 2024-12-18T14:24:43Z
date_published: 2024-12-18T00:00:00Z
date_updated: 2026-04-14T08:34:35Z
day: '18'
ddc:
- '004'
degree_awarded: PhD
department:
- _id: GradSch
- _id: JoDa
doi: 10.15479/at:ista:18674
ec_funded: 1
file:
- access_level: open_access
checksum: 1b42b8073e2bc09fc504da52372248c1
content_type: application/pdf
creator: jlyudchi
date_created: 2024-12-18T14:17:34Z
date_updated: 2024-12-18T14:17:34Z
file_id: '18675'
file_name: 18122024_PhDthesis_corrected_final_pdfa.pdf
file_size: 160536833
relation: main_file
success: 1
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checksum: b4da84624060745519723698f7ddf54b
content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
creator: jlyudchi
date_created: 2024-12-18T14:21:06Z
date_updated: 2024-12-18T14:41:53Z
file_id: '18676'
file_name: 18122024_PhDthesis_corrected_final_JL_markup.docx
file_size: 99172203
relation: source_file
file_date_updated: 2024-12-18T14:41:53Z
has_accepted_license: '1'
language:
- iso: eng
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:
record:
- id: '11160'
relation: part_of_dissertation
status: public
- id: '18677'
relation: part_of_dissertation
status: public
- id: '13267'
relation: part_of_dissertation
status: public
- id: '14257'
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: 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
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: ba8df636-2132-11f1-aed0-ed93e2281fdd
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. bioRxiv. doi:10.1101/2024.03.01.582884
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. bioRxiv. https://doi.org/10.1101/2024.03.01.582884
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.” BioRxiv,
n.d. https://doi.org/10.1101/2024.03.01.582884.
ieee: M. Tavakoli et al., “Light-microscopy based dense connectomic reconstruction
of mammalian brain tissue,” bioRxiv. .
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, 10.1101/2024.03.01.582884.
mla: Tavakoli, Mojtaba, et al. “Light-Microscopy Based Dense Connectomic Reconstruction
of Mammalian Brain Tissue.” BioRxiv, doi:10.1101/2024.03.01.582884.
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'
date_created: 2024-12-18T14:48:24Z
date_published: 2024-07-08T00:00:00Z
date_updated: 2026-04-28T13:33:34Z
day: '08'
department:
- _id: GaNo
- _id: JoDa
doi: 10.1101/2024.03.01.582884
ec_funded: 1
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
related_material:
record:
- id: '18681'
relation: dissertation_contains
status: public
- id: '18674'
relation: dissertation_contains
status: public
- id: '19704'
relation: later_version
status: public
status: public
title: Light-microscopy based dense connectomic reconstruction of mammalian brain
tissue
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: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...
---
OA_place: publisher
OA_type: hybrid
_id: '13267'
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. Nature Methods. 2023;20:1256-1265. doi:10.1038/s41592-023-01936-6
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. Nature Methods. Springer Nature. https://doi.org/10.1038/s41592-023-01936-6
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.” Nature Methods. Springer Nature, 2023. https://doi.org/10.1038/s41592-023-01936-6.
ieee: P. Velicky et al., “Dense 4D nanoscale reconstruction of living brain
tissue,” Nature Methods, 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.” Nature Methods, vol. 20, Springer Nature, 2023, pp. 1256–65, doi:10.1038/s41592-023-01936-6.
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: 2026-07-06T12:49:46Z
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
external_id:
isi:
- '001025621500001'
pmid:
- '37429995'
file:
- access_level: open_access
checksum: a68e845780a82ea36d0d4d3212a87c10
content_type: application/pdf
creator: dernst
date_created: 2025-02-26T08:01:57Z
date_updated: 2025-02-26T08:01:57Z
file_id: '19088'
file_name: 2023_NatureMethods_Velicky.pdf
file_size: 14103039
relation: main_file
success: 1
file_date_updated: 2025-02-26T08:01:57Z
has_accepted_license: '1'
intvolume: ' 20'
isi: 1
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
page: 1256-1265
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: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
- _id: 24F9549A-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '715767'
name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and
Modeling'
- _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: fc2be41b-9c52-11eb-aca3-faa90aa144e9
call_identifier: H2020
grant_number: '101026635'
name: Synaptic computations of the hippocampal CA3 circuitry
- _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: Nature Methods
publication_identifier:
eissn:
- 1548-7105
issn:
- 1548-7091
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
link:
- relation: software
url: https://github.com/danzllab/LIONESS
record:
- id: '12817'
relation: research_data
status: public
- id: '14770'
relation: shorter_version
status: public
- id: '18674'
relation: dissertation_contains
status: public
- id: '11943'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Dense 4D nanoscale reconstruction of living 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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 20
year: '2023'
...
---
_id: '11160'
abstract:
- lang: eng
text: Mutations in the chromodomain helicase DNA-binding 8 (CHD8) gene are a frequent
cause of autism spectrum disorder (ASD). While its phenotypic spectrum often encompasses
macrocephaly, implicating cortical abnormalities, how CHD8 haploinsufficiency
affects neurodevelopmental is unclear. Here, employing human cerebral organoids,
we find that CHD8 haploinsufficiency disrupted neurodevelopmental trajectories
with an accelerated and delayed generation of, respectively, inhibitory and excitatory
neurons that yields, at days 60 and 120, symmetrically opposite expansions in
their proportions. This imbalance is consistent with an enlargement of cerebral
organoids as an in vitro correlate of patients’ macrocephaly. Through an isogenic
design of patient-specific mutations and mosaic organoids, we define genotype-phenotype
relationships and uncover their cell-autonomous nature. Our results define cell-type-specific
CHD8-dependent molecular defects related to an abnormal program of proliferation
and alternative splicing. By identifying cell-type-specific effects of CHD8 mutations,
our study uncovers reproducible developmental alterations that may be employed
for neurodevelopmental disease modeling.
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
acknowledgement: We thank Farnaz Freeman for technical assistance. This research was
supported by the Scientific Service Units (SSU) of IST Austria through resources
provided by the Bioimaging Facility (BIF) and the Life Science Facility (LSF). This
work supported by the European Union’s Horizon 2020 research and innovation program
(ERC) grant 715508 to G.N. (REVERSEAUTISM) and grant 825759 to G.T. (ENDpoiNTs);
the Fondazione Cariplo 2017-0886 to A.L.T.; E-Rare-3 JTC 2018 IMPACT to M. Gabriele;
and the Austrian Science Fund FWF I 4205-B to G.N. Graphical abstract and figures
were created using BioRender.com.
article_number: '110615'
article_processing_charge: Yes
article_type: original
author:
- first_name: Carlo Emanuele
full_name: Villa, Carlo Emanuele
last_name: Villa
- first_name: Cristina
full_name: Cheroni, Cristina
last_name: Cheroni
- first_name: Christoph
full_name: Dotter, Christoph
id: 4C66542E-F248-11E8-B48F-1D18A9856A87
last_name: Dotter
orcid: 0000-0002-9033-9096
- first_name: Alejandro
full_name: López-Tóbon, Alejandro
last_name: López-Tóbon
- first_name: Bárbara
full_name: Oliveira, Bárbara
id: 3B03AA1A-F248-11E8-B48F-1D18A9856A87
last_name: Oliveira
- first_name: Roberto
full_name: Sacco, Roberto
id: 42C9F57E-F248-11E8-B48F-1D18A9856A87
last_name: Sacco
- first_name: Aysan Çerağ
full_name: Yahya, Aysan Çerağ
id: 365A65F8-F248-11E8-B48F-1D18A9856A87
last_name: Yahya
- first_name: Jasmin
full_name: Morandell, Jasmin
id: 4739D480-F248-11E8-B48F-1D18A9856A87
last_name: Morandell
- first_name: Michele
full_name: Gabriele, Michele
last_name: Gabriele
- 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: Christoph M
full_name: Sommer, Christoph M
id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87
last_name: Sommer
orcid: 0000-0003-1216-9105
- first_name: Mariano
full_name: Gabitto, Mariano
last_name: Gabitto
- 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: Giuseppe
full_name: Testa, Giuseppe
last_name: Testa
- first_name: Gaia
full_name: Novarino, Gaia
id: 3E57A680-F248-11E8-B48F-1D18A9856A87
last_name: Novarino
orcid: 0000-0002-7673-7178
citation:
ama: Villa CE, Cheroni C, Dotter C, et al. CHD8 haploinsufficiency links autism
to transient alterations in excitatory and inhibitory trajectories. Cell Reports.
2022;39(1). doi:10.1016/j.celrep.2022.110615
apa: Villa, C. E., Cheroni, C., Dotter, C., López-Tóbon, A., Oliveira, B., Sacco,
R., … Novarino, G. (2022). CHD8 haploinsufficiency links autism to transient alterations
in excitatory and inhibitory trajectories. Cell Reports. Elsevier. https://doi.org/10.1016/j.celrep.2022.110615
chicago: Villa, Carlo Emanuele, Cristina Cheroni, Christoph Dotter, Alejandro López-Tóbon,
Bárbara Oliveira, Roberto Sacco, Aysan Çerağ Yahya, et al. “CHD8 Haploinsufficiency
Links Autism to Transient Alterations in Excitatory and Inhibitory Trajectories.”
Cell Reports. Elsevier, 2022. https://doi.org/10.1016/j.celrep.2022.110615.
ieee: C. E. Villa et al., “CHD8 haploinsufficiency links autism to transient
alterations in excitatory and inhibitory trajectories,” Cell Reports, vol.
39, no. 1. Elsevier, 2022.
ista: Villa CE, Cheroni C, Dotter C, López-Tóbon A, Oliveira B, Sacco R, Yahya AÇ,
Morandell J, Gabriele M, Tavakoli M, Lyudchik J, Sommer CM, Gabitto M, Danzl JG,
Testa G, Novarino G. 2022. CHD8 haploinsufficiency links autism to transient alterations
in excitatory and inhibitory trajectories. Cell Reports. 39(1), 110615.
mla: Villa, Carlo Emanuele, et al. “CHD8 Haploinsufficiency Links Autism to Transient
Alterations in Excitatory and Inhibitory Trajectories.” Cell Reports, vol.
39, no. 1, 110615, Elsevier, 2022, doi:10.1016/j.celrep.2022.110615.
short: C.E. Villa, C. Cheroni, C. Dotter, A. López-Tóbon, B. Oliveira, R. Sacco,
A.Ç. Yahya, J. Morandell, M. Gabriele, M. Tavakoli, J. Lyudchik, C.M. Sommer,
M. Gabitto, J.G. Danzl, G. Testa, G. Novarino, Cell Reports 39 (2022).
corr_author: '1'
date_created: 2022-04-15T09:03:10Z
date_published: 2022-04-05T00:00:00Z
date_updated: 2026-07-08T22:30:05Z
day: '05'
ddc:
- '570'
department:
- _id: JoDa
- _id: GaNo
doi: 10.1016/j.celrep.2022.110615
ec_funded: 1
external_id:
isi:
- '000785983900003'
pmid:
- '35385734'
file:
- access_level: open_access
checksum: b4e8d68f0268dec499af333e6fd5d8e1
content_type: application/pdf
creator: dernst
date_created: 2022-04-15T09:06:25Z
date_updated: 2022-04-15T09:06:25Z
file_id: '11164'
file_name: 2022_CellReports_Villa.pdf
file_size: '7808644'
relation: main_file
success: 1
file_date_updated: 2022-04-15T09:06:25Z
has_accepted_license: '1'
intvolume: ' 39'
isi: 1
issue: '1'
keyword:
- General Biochemistry
- Genetics and Molecular Biology
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _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: 2690FEAC-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: I04205
name: Identification of converging Molecular Pathways Across Chromatinopathies as
Targets for Therapy
publication: Cell Reports
publication_identifier:
issn:
- 2211-1247
publication_status: published
publisher: Elsevier
quality_controlled: '1'
related_material:
record:
- id: '18681'
relation: dissertation_contains
status: public
- id: '18674'
relation: dissertation_contains
status: public
- id: '12364'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: CHD8 haploinsufficiency links autism to transient alterations in excitatory
and inhibitory trajectories
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: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 39
year: '2022'
...
---
_id: '11950'
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 nanoscopic synaptic scales in diverse chemically fixed
brain preparations, including rodent and human. CATS leverages fixation-compatible
extracellular labeling and advanced optical readout, in particular stimulated-emission
depletion and expansion microscopy, to comprehensively delineate cellular structures.
It enables 3D-reconstructing single synapses and mapping synaptic connectivity
by identification and tailored analysis of putative synaptic cleft regions. Applying
CATS to the hippocampal mossy fiber circuitry, we demonstrate its power to reveal
the system’s molecularly informed ultrastructure across spatial scales and assess
local connectivity by reconstructing and quantifying the synaptic input and output
structure of identified neurons.
article_processing_charge: No
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: 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: 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. Uncovering brain tissue architecture
across scales with super-resolution light microscopy. bioRxiv. doi:10.1101/2022.08.17.504272
apa: Michalska, J. M., Lyudchik, J., Velicky, P., Korinkova, H., Watson, J., Cenameri,
A., … Danzl, J. G. (n.d.). Uncovering brain tissue architecture across scales
with super-resolution light microscopy. bioRxiv. https://doi.org/10.1101/2022.08.17.504272
chicago: Michalska, Julia M, Julia Lyudchik, Philipp Velicky, Hana Korinkova, Jake
Watson, Alban Cenameri, Christoph M Sommer, et al. “Uncovering Brain Tissue Architecture
across Scales with Super-Resolution Light Microscopy.” BioRxiv, n.d. https://doi.org/10.1101/2022.08.17.504272.
ieee: J. M. Michalska et al., “Uncovering brain tissue architecture across
scales with super-resolution light microscopy,” bioRxiv. .
ista: Michalska JM, Lyudchik J, Velicky P, Korinkova H, Watson J, Cenameri A, Sommer
CM, Venturino A, Roessler K, Czech T, Siegert S, Novarino G, Jonas PM, Danzl JG.
Uncovering brain tissue architecture across scales with super-resolution light
microscopy. bioRxiv, 10.1101/2022.08.17.504272.
mla: Michalska, Julia M., et al. “Uncovering Brain Tissue Architecture across Scales
with Super-Resolution Light Microscopy.” BioRxiv, doi:10.1101/2022.08.17.504272.
short: J.M. Michalska, J. Lyudchik, P. Velicky, H. Korinkova, J. Watson, A. Cenameri,
C.M. Sommer, A. Venturino, K. Roessler, T. Czech, S. Siegert, G. Novarino, P.M.
Jonas, J.G. Danzl, BioRxiv (n.d.).
corr_author: '1'
das_tickbox: '1'
date_created: 2022-08-24T08:24:52Z
date_published: 2022-08-18T00:00:00Z
date_updated: 2026-07-08T22:31:24Z
day: '18'
department:
- _id: SaSi
- _id: GaNo
- _id: PeJo
- _id: JoDa
doi: 10.1101/2022.08.17.504272
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1101/2022.08.17.504272
month: '08'
oa: 1
oa_version: Preprint
publication: bioRxiv
publication_status: draft
related_material:
record:
- id: '12470'
relation: dissertation_contains
status: public
status: public
title: Uncovering brain tissue architecture across scales with super-resolution light
microscopy
type: preprint
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2022'
...