---
OA_place: publisher
_id: '22255'
abstract:
- lang: eng
  text: "This thesis studies spectral rigidity and nonrigidity phenomena in dynamical
    systems. The central question is whether a dynamical system can be determined,
    up to a natural conjugacy, from its spectrum. We consider three related spectra:
    the length spectrum, the action spectrum, and the Lyapunov spectrum.\r\n\r\nThe
    first part of the thesis concerns Liouville metrics on the two-dimensional torus.
    It is a long-standing folklore conjecture that Liouville metrics are the only
    integrable metrics on the torus. We prove a length-spectral rigidity result for
    linear conformal deformations of Liouville metrics by exploiting the dynamical
    properties of the rational tori -- analogues of the resonant convex caustics in
    billiards. We also establish a complementary classification result showing that
    marked-length-isospectral Liouville metrics are characterized by rearrangements
    of the one-dimensional functions appearing in their conformal factors, generalizing
    a theorem of Abbondandolo-Mazzucchelli. In particular, the second result gives
    nonrigidity examples within the class of Liouville metrics.\r\n\r\nThe second
    part of the thesis studies the standard map from the viewpoint of action and Lyapunov
    spectra. We construct nontrivial deformations of the standard map which preserve
    the symplectic actions (respectively, the Lyapunov exponents) of infinitely many
    periodic orbits accumulating on an invariant curve. The proof combines a resonant
    normal form construction with Picard iteration schemes to obtain a sequence of
    periodic orbits accumulating on an invariant curve with a Liouville rotation number.
    Within the resonant normal forms we capture the dependence of these periodic orbits
    on the resonant Fourier coefficients of the dynamics on the invariant curve and,
    using the contraction mapping principle, obtain a suitable deformation achieving
    the prescribed spectral data associated with this sequence of orbits. The result
    can be viewed as a symplectic twist-map analogue of a length-spectral nonrigidity
    phenomenon for Riemannian manifolds and convex billiards, and it motivates the
    existence problem for similar 'partially length-isospectral' deformations of strictly
    convex billiard tables.\r\n"
acknowledged_ssus:
- _id: E-Lib
- _id: CampIT
acknowledgement: "The financial support of the ERC grant SPERIG #885707 is gratefully
  acknowledged.\r\n"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Yunzhe
  full_name: Li, Yunzhe
  id: 41cb05d3-f128-11eb-9611-e4e2b3cfba31
  last_name: Li
citation:
  ama: Li Y. Spectral rigidity and nonrigidity of dynamical systems. 2026. doi:<a
    href="https://doi.org/10.15479/AT-ISTA-22255">10.15479/AT-ISTA-22255</a>
  apa: Li, Y. (2026). <i>Spectral rigidity and nonrigidity of dynamical systems</i>.
    Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-22255">https://doi.org/10.15479/AT-ISTA-22255</a>
  chicago: Li, Yunzhe. “Spectral Rigidity and Nonrigidity of Dynamical Systems.” Institute
    of Science and Technology Austria, 2026. <a href="https://doi.org/10.15479/AT-ISTA-22255">https://doi.org/10.15479/AT-ISTA-22255</a>.
  ieee: Y. Li, “Spectral rigidity and nonrigidity of dynamical systems,” Institute
    of Science and Technology Austria, 2026.
  ista: Li Y. 2026. Spectral rigidity and nonrigidity of dynamical systems. Institute
    of Science and Technology Austria.
  mla: Li, Yunzhe. <i>Spectral Rigidity and Nonrigidity of Dynamical Systems</i>.
    Institute of Science and Technology Austria, 2026, doi:<a href="https://doi.org/10.15479/AT-ISTA-22255">10.15479/AT-ISTA-22255</a>.
  short: Y. Li, Spectral Rigidity and Nonrigidity of Dynamical Systems, Institute
    of Science and Technology Austria, 2026.
corr_author: '1'
date_created: 2026-07-08T12:44:31Z
date_published: 2026-07-11T00:00:00Z
date_updated: 2026-07-20T14:58:23Z
day: '11'
ddc:
- '515'
degree_awarded: PhD
department:
- _id: GradSch
- _id: VaKa
doi: 10.15479/AT-ISTA-22255
doi_confirm: '1'
ec_funded: 1
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language:
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month: '07'
oa: 1
oa_version: Published Version
page: '131'
project:
- _id: 9B8B92DE-BA93-11EA-9121-9846C619BF3A
  call_identifier: H2020
  grant_number: '885707'
  name: Spectral rigidity and integrability for billiards and geodesic flows
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '22340'
    relation: part_of_dissertation
    status: public
  - id: '22341'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Vadim
  full_name: Kaloshin, Vadim
  id: FE553552-CDE8-11E9-B324-C0EBE5697425
  last_name: Kaloshin
  orcid: 0000-0002-6051-2628
title: Spectral rigidity and nonrigidity of dynamical systems
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: 8b945eb4-e2f2-11eb-945a-df72226e66a9
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:
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  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
- contributor_type: researcher
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  id: 46E28B80-F248-11E8-B48F-1D18A9856A87
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  id: 4DF26D8C-F248-11E8-B48F-1D18A9856A87
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  id: 3B03AA1A-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
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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'
...
---
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
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  last_name: Truckenbrodt
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  last_name: Vistunou
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  last_name: Sommer
  orcid: 0000-0003-1216-9105
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  last_name: Tavakoli
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  last_name: Agudelo Duenas
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- 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: 2026-06-10T08:30:19Z
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'
file:
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  creator: dernst
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file_date_updated: 2025-07-31T07:03:43Z
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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'
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    status: public
  - id: '18837'
    relation: research_data
    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: publisher
_id: '19048'
abstract:
- lang: eng
  text: 'Rotations are found in physics problems at all scales: from spatial motion
    of celestial bodies, to transitions between quantum states of atoms and molecules.
    Mathematically, they represent a fundamental class of transformations and symmetries.
    Unlike spatial displacements, rotational transformations in three-dimensional
    space  are non-commutative: the result of applying a sequence of rotations depends
    on the order of these operations. This feature makes the emergent physics that
    involves rotations rather intricate, but instrumental for studies of highly-interconnected
    many-body systems. In the presence of an environment, rotational properties of
    an object change, due to the interaction with particles of the environment. Owing
    to the complexity of this interaction, it can be engineered to exhibit certain
    properties of interest. In this Thesis, we examine several scenarios of how the
    rotational behavior of an impurity can be modified by interactions with its environment.'
acknowledged_ssus:
- _id: CampIT
- _id: E-Lib
- _id: SSU
acknowledgement: "I am grateful to the European Research Council (ERC) [10.3030/801770]
  and Austrian\r\nScience Fund (FWF) [10.55776/F1004] for funding my research and
  to the Physical\r\nReview journals for publishing it. I also want to thank the VCQ
  (previously CoQuS) and\r\nIQOQI for organizing wonderful networking events for the
  physics community in Vienna\r\nand Innsbruck, respectively. Moreover, I thank Austrian
  Science Fund (FWF) for the\r\ncontinuous support for quantum research."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Mikhail
  full_name: Maslov, Mikhail
  id: 2E65BB0E-F248-11E8-B48F-1D18A9856A87
  last_name: Maslov
  orcid: 0000-0003-4074-2570
citation:
  ama: Maslov M. Emergent physics of rotating quantum impurities in many-body environments.
    2025. doi:<a href="https://doi.org/10.15479/at:ista:19048">10.15479/at:ista:19048</a>
  apa: Maslov, M. (2025). <i>Emergent physics of rotating quantum impurities in many-body
    environments</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:19048">https://doi.org/10.15479/at:ista:19048</a>
  chicago: Maslov, Mikhail. “Emergent Physics of Rotating Quantum Impurities in Many-Body
    Environments.” Institute of Science and Technology Austria, 2025. <a href="https://doi.org/10.15479/at:ista:19048">https://doi.org/10.15479/at:ista:19048</a>.
  ieee: M. Maslov, “Emergent physics of rotating quantum impurities in many-body environments,”
    Institute of Science and Technology Austria, 2025.
  ista: Maslov M. 2025. Emergent physics of rotating quantum impurities in many-body
    environments. Institute of Science and Technology Austria.
  mla: Maslov, Mikhail. <i>Emergent Physics of Rotating Quantum Impurities in Many-Body
    Environments</i>. Institute of Science and Technology Austria, 2025, doi:<a href="https://doi.org/10.15479/at:ista:19048">10.15479/at:ista:19048</a>.
  short: M. Maslov, Emergent Physics of Rotating Quantum Impurities in Many-Body Environments,
    Institute of Science and Technology Austria, 2025.
corr_author: '1'
date_created: 2025-02-18T01:41:27Z
date_published: 2025-02-18T00:00:00Z
date_updated: 2026-04-16T12:20:38Z
day: '18'
ddc:
- '539'
- '535'
- '541'
degree_awarded: PhD
department:
- _id: GradSch
- _id: MiLe
doi: 10.15479/at:ista:19048
ec_funded: 1
file:
- access_level: open_access
  checksum: 5822a4dd31724c512b37c658af1787ab
  content_type: application/pdf
  creator: mmaslov
  date_created: 2025-02-18T14:25:59Z
  date_updated: 2025-02-18T14:25:59Z
  file_id: '19061'
  file_name: thesis_Maslov.pdf
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  creator: mmaslov
  date_created: 2025-02-18T14:25:59Z
  date_updated: 2025-02-18T14:25:59Z
  file_id: '19062'
  file_name: thesis_Maslov_source.zip
  file_size: 14453726
  relation: source_file
file_date_updated: 2025-02-18T14:25:59Z
has_accepted_license: '1'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Published Version
page: '86'
project:
- _id: 2688CF98-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '801770'
  name: 'Angulon: physics and applications of a new quasiparticle'
- _id: 7c040762-9f16-11ee-852c-dd79eeee4ab3
  grant_number: F100403
  name: Coherent Optical Metrology Beyond Electric-Dipole-Allowed Transitions
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '10845'
    relation: part_of_dissertation
    status: public
  - id: '7933'
    relation: part_of_dissertation
    status: public
  - id: '18087'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Mikhail
  full_name: Lemeshko, Mikhail
  id: 37CB05FA-F248-11E8-B48F-1D18A9856A87
  last_name: Lemeshko
  orcid: 0000-0002-6990-7802
title: Emergent physics of rotating quantum impurities in many-body environments
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: '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: 2026-04-28T13:33:34Z
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:
- access_level: open_access
  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'
...
---
APC_amount: 3642,79 EUR
DOAJ_listed: '1'
OA_place: publisher
OA_type: gold
PlanS_conform: '1'
_id: '20080'
abstract:
- lang: eng
  text: "Introduction: Acid-growth theory has been postulated in the 70s to explain
    the rapid elongation of plant cells in response to the hormone auxin. More recently,
    it has been demonstrated that activation of the proton ATPs pump (H+-ATPs) promoting
    acidification of the apoplast is the principal mechanism by which auxin and other
    hormones such as brassinosteroids (BR) induce cell elongation. Despite these advances,
    the impact of this acidification on the mechanical properties of the cell wall
    remained largely unexplored.\r\n\r\nMethods: Here, we use elongation assays of
    Arabidopsis thaliana hypocotyls and Atomic Force Microscopy (AFM) to correlate
    hormone-induced tissue elongation and local changes in cell wall mechanical properties.
    Furthermore, employing transgenic lines over-expressing Pectin Methyl Esterase
    (PME), along with calcium chelators, we investigate the effect of pectin modification
    in hormone-driven cell elongation.\r\n\r\nResults: We demonstrate that acidification
    of apoplast is necessary and sufficient to induce cell elongation through promoting
    cell wall softening. Moreover, we show that enhanced PME activity can induce both
    cell wall softening or stiffening in extracellular calcium dependent-manner and
    that tight control of PME activity is required for proper hypocotyl elongation.\r\n\r\nDiscussion:
    Our results confirm a dual role of PME in plant cell elongation. However, further
    investigation is needed to assess the status of pectin following short- or long-term
    PME treatments in order to determine if pectin methyl-esterification might promote
    its degradation as well as the role of PME inhibitors upon PME induction."
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
- _id: E-Lib
acknowledgement: "The author(s) declare that financial support was received for the
  research and/or publication of this article. This work was supported by grants from
  the European Research Council (Starting Independent Research Grant ERC-2007-Stg-
  207362-HCPO to EB) and MG was recipient of an IST Interdisciplinary project (IC1022IPC03).\r\nWe
  acknowledge Jaume F. Martı́nez Garcı́a for phyAphyB mutant seeds. We acknowledge
  CF Nanobiotechnology of CIISB, Instruct-CZ Centre, supported by MEYS CR (LM2018127).
  We gratefully acknowledge support by the Scientific Service Units at ISTA, including
  the Imaging and Optics and Lab Support facilities and Library. We thank Stefan Riegler
  for the efforts to establish immunodetection method."
article_number: '1612366'
article_processing_charge: Yes
article_type: original
author:
- first_name: Marçal
  full_name: Gallemi, Marçal
  id: 460C6802-F248-11E8-B48F-1D18A9856A87
  last_name: Gallemi
  orcid: 0000-0003-4675-6893
- first_name: Juan C
  full_name: Montesinos López, Juan C
  id: 310A8E3E-F248-11E8-B48F-1D18A9856A87
  last_name: Montesinos López
  orcid: 0000-0001-9179-6099
- first_name: Nikola
  full_name: Zarevski, Nikola
  id: 18e95355-e05a-11ea-a9c0-8fba1b89e83a
  last_name: Zarevski
- first_name: Jan
  full_name: Pribyl, Jan
  last_name: Pribyl
- first_name: Petr
  full_name: Skládal, Petr
  last_name: Skládal
- first_name: Edouard B
  full_name: Hannezo, Edouard B
  id: 3A9DB764-F248-11E8-B48F-1D18A9856A87
  last_name: Hannezo
  orcid: 0000-0001-6005-1561
- first_name: Eva
  full_name: Benková, Eva
  id: 38F4F166-F248-11E8-B48F-1D18A9856A87
  last_name: Benková
  orcid: 0000-0002-8510-9739
citation:
  ama: Gallemi M, Montesinos López JC, Zarevski N, et al. Dual role of pectin methyl
    esterase activity in the regulation of plant cell wall biophysical properties.
    <i>Frontiers in Plant Science</i>. 2025;16. doi:<a href="https://doi.org/10.3389/fpls.2025.1612366">10.3389/fpls.2025.1612366</a>
  apa: Gallemi, M., Montesinos López, J. C., Zarevski, N., Pribyl, J., Skládal, P.,
    Hannezo, E. B., &#38; Benková, E. (2025). Dual role of pectin methyl esterase
    activity in the regulation of plant cell wall biophysical properties. <i>Frontiers
    in Plant Science</i>. Frontiers Media. <a href="https://doi.org/10.3389/fpls.2025.1612366">https://doi.org/10.3389/fpls.2025.1612366</a>
  chicago: Gallemi, Marçal, Juan C Montesinos López, Nikola Zarevski, Jan Pribyl,
    Petr Skládal, Edouard B Hannezo, and Eva Benková. “Dual Role of Pectin Methyl
    Esterase Activity in the Regulation of Plant Cell Wall Biophysical Properties.”
    <i>Frontiers in Plant Science</i>. Frontiers Media, 2025. <a href="https://doi.org/10.3389/fpls.2025.1612366">https://doi.org/10.3389/fpls.2025.1612366</a>.
  ieee: M. Gallemi <i>et al.</i>, “Dual role of pectin methyl esterase activity in
    the regulation of plant cell wall biophysical properties,” <i>Frontiers in Plant
    Science</i>, vol. 16. Frontiers Media, 2025.
  ista: Gallemi M, Montesinos López JC, Zarevski N, Pribyl J, Skládal P, Hannezo EB,
    Benková E. 2025. Dual role of pectin methyl esterase activity in the regulation
    of plant cell wall biophysical properties. Frontiers in Plant Science. 16, 1612366.
  mla: Gallemi, Marçal, et al. “Dual Role of Pectin Methyl Esterase Activity in the
    Regulation of Plant Cell Wall Biophysical Properties.” <i>Frontiers in Plant Science</i>,
    vol. 16, 1612366, Frontiers Media, 2025, doi:<a href="https://doi.org/10.3389/fpls.2025.1612366">10.3389/fpls.2025.1612366</a>.
  short: M. Gallemi, J.C. Montesinos López, N. Zarevski, J. Pribyl, P. Skládal, E.B.
    Hannezo, E. Benková, Frontiers in Plant Science 16 (2025).
corr_author: '1'
date_created: 2025-07-27T22:01:26Z
date_published: 2025-07-04T00:00:00Z
date_updated: 2026-05-20T07:53:03Z
day: '04'
ddc:
- '580'
department:
- _id: EdHa
- _id: EvBe
- _id: CaGu
doi: 10.3389/fpls.2025.1612366
ec_funded: 1
external_id:
  isi:
  - '001530690900001'
  pmid:
  - '40688689'
file:
- access_level: open_access
  checksum: 9e6b8b53ba56d4a24a9bd91cf6d2dc58
  content_type: application/pdf
  creator: dernst
  date_created: 2025-07-31T07:28:54Z
  date_updated: 2025-07-31T07:28:54Z
  file_id: '20093'
  file_name: 2025_FrontiersPlantSc_Gallemi.pdf
  file_size: 3665187
  relation: main_file
  success: 1
file_date_updated: 2025-07-31T07:28:54Z
has_accepted_license: '1'
intvolume: '        16'
isi: 1
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 253FCA6A-B435-11E9-9278-68D0E5697425
  call_identifier: FP7
  grant_number: '207362'
  name: Hormonal cross-talk in plant organogenesis
- _id: B67AFEDC-15C9-11EA-A837-991A96BB2854
  name: IST Austria Open Access Fund
publication: Frontiers in Plant Science
publication_identifier:
  eissn:
  - 1664-462X
publication_status: published
publisher: Frontiers Media
quality_controlled: '1'
scopus_import: '1'
status: public
title: Dual role of pectin methyl esterase activity in the regulation of plant cell
  wall biophysical properties
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: 16
year: '2025'
...
---
OA_place: publisher
_id: '20357'
acknowledged_ssus:
- _id: ScienComp
- _id: E-Lib
acknowledgement: "I would also like to acknowledge the Austrian Academy of Sciences
  for funding through the\r\nDOC Fellowship program (fellowship number 26917), the
  Grants Office at ISTA for their\r\nassistance with the application, and the Scientific
  Computing Unit for their support regarding\r\nhigh-performance computation.\r\n"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Natalia
  full_name: Ruzickova, Natalia
  id: D2761128-D73D-11E9-A1BF-BA0DE6697425
  last_name: Ruzickova
citation:
  ama: Ruzickova N. Effect propagation in biological networks. 2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-20357">10.15479/AT-ISTA-20357</a>
  apa: Ruzickova, N. (2025). <i>Effect propagation in biological networks</i>. Institute
    of Science and Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-20357">https://doi.org/10.15479/AT-ISTA-20357</a>
  chicago: Ruzickova, Natalia. “Effect Propagation in Biological Networks.” Institute
    of Science and Technology Austria, 2025. <a href="https://doi.org/10.15479/AT-ISTA-20357">https://doi.org/10.15479/AT-ISTA-20357</a>.
  ieee: N. Ruzickova, “Effect propagation in biological networks,” Institute of Science
    and Technology Austria, 2025.
  ista: Ruzickova N. 2025. Effect propagation in biological networks. Institute of
    Science and Technology Austria.
  mla: Ruzickova, Natalia. <i>Effect Propagation in Biological Networks</i>. Institute
    of Science and Technology Austria, 2025, doi:<a href="https://doi.org/10.15479/AT-ISTA-20357">10.15479/AT-ISTA-20357</a>.
  short: N. Ruzickova, Effect Propagation in Biological Networks, Institute of Science
    and Technology Austria, 2025.
corr_author: '1'
date_created: 2025-09-15T17:04:48Z
date_published: 2025-09-15T00:00:00Z
date_updated: 2026-04-07T12:02:39Z
day: '15'
ddc:
- '570'
- '530'
degree_awarded: PhD
department:
- _id: GradSch
- _id: GaTk
doi: 10.15479/AT-ISTA-20357
file:
- access_level: closed
  checksum: 991e81bc16a76b4e0c352567728fd2c5
  content_type: application/pdf
  creator: nruzicko
  date_created: 2025-09-16T12:56:06Z
  date_updated: 2025-11-27T10:00:25Z
  embargo: 2026-09-14
  embargo_to: open_access
  file_id: '20360'
  file_name: 2025_Ruzickova_Natalia_Thesis.pdf
  file_size: 43518367
  relation: main_file
  title: Effect propagation in biological networks
- access_level: closed
  checksum: c4ab257adad116083d8a97fac69b2dde
  content_type: application/zip
  creator: nruzicko
  date_created: 2025-09-16T12:59:23Z
  date_updated: 2025-09-16T12:59:23Z
  file_id: '20361'
  file_name: 2025_Ruzickova_Natalia_Thesis_source.zip
  file_size: 53464789
  relation: source_file
file_date_updated: 2025-11-27T10:00:25Z
has_accepted_license: '1'
keyword:
- gene regulation
- networks
- omnigenic model
- pancreas
- collective behaviour
language:
- iso: eng
month: '09'
oa_version: Published Version
page: '160'
project:
- _id: 7bec9174-9f16-11ee-852c-ded9fe5f810e
  name: Collective behaviour of cells in pancreatic Islets of Langerhans
publication_identifier:
  isbn:
  - 978-3-99078-066-4
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '18525'
    relation: part_of_dissertation
    status: public
status: public
supervisor:
- first_name: Gašper
  full_name: Tkačik, Gašper
  id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
  last_name: Tkačik
  orcid: 0000-0002-6699-1455
title: Effect propagation in biological networks
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
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. <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'
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:
- access_level: open_access
  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: 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'
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: 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'
date_created: 2024-12-19T12:28:00Z
date_published: 2024-02-21T00:00:00Z
date_updated: 2026-04-07T12:56:36Z
day: '21'
department:
- _id: EvBe
- _id: JoDa
- _id: JiFr
doi: 10.1101/2024.02.21.581330
ec_funded: 1
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
status: public
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2024'
...
---
OA_embargo: '12'
OA_place: publisher
_id: '18574'
abstract:
- lang: eng
  text: "Biological vision is unlike a camera; rather than transmitting light information
    faithfully, early\r\nvisual circuits process the visual scene to convey only the
    relevant information in an efficient\r\nmanner. Consequentially, the nature of
    this visual processing then depends on what is the\r\nrelevant information in
    a scene and on the notion of efficiency. In this work, I study how visual\r\nprocessing
    is modulated by two different variations in the visual scene. First, I discovered
    that\r\nin the mouse (Mus musculus) retina, Retinal Ganglion Cells in the upper
    and lower visual\r\nfield have differences in the center surround structure of
    their receptive fields. Comparison\r\nwith models of efficient coding show that
    this adaptation likely evolved to cope with the\r\nbrightness gradient from the
    sky to the ground that is pervasive in natural scenes. In the\r\nsecond project,
    I study how the downstream neurons in the Superior Colliculus dynamically\r\nchange
    their temporal selectivity depending on the ambient luminance and behavioral state.\r\nAs
    the scene gets darker or when the animal is is less aroused, the neuronal responses
    get\r\nlaggier, while still maintaining their relative timing with respect to
    the population. Overall, this\r\nwork emphasises the need to understand visual
    processing in the context of specific demands\r\nof the animal in its the environment.
    The adaptive changes in the visual system, from the\r\nretinal ganglion cells
    to the superior colliculus, highlight the intricate ways in which biological\r\nvision
    optimizes the processing of visual information.\r\n"
acknowledged_ssus:
- _id: Bio
- _id: ScienComp
- _id: PreCl
- _id: LifeSc
- _id: M-Shop
- _id: E-Lib
acknowledgement: "This work would have been impossible without the Scientific Service
  Units of IST Austria. The resources and expertise provided by Scientific Computing
  (especially Alois Schlögl), the MIBA Machine Shop (especially Todor Asenov), the
  Preclinical Facility (especially Freyja Langer), the Library, the Lab Support Facility
  and the Imaging and Optics Facility were the essential bedrock I could build upon.
  I would also like to thank IT support at ISTA for powering through remote work and
  a cyberattack.\r\nI am grateful for having been funded initially by the European
  Union Horizon 2020 Marie Skłodowska-Curie grant 665385 and later by Prof. Maximilian
  Joesch's the European Research Council Starting (756502) and Consolidator (101086580)
  Grants."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Divyansh
  full_name: Gupta, Divyansh
  id: 2A485EBE-F248-11E8-B48F-1D18A9856A87
  last_name: Gupta
  orcid: 0000-0001-7400-6665
citation:
  ama: Gupta D. Visual adaptations to natural statistics. 2024. doi:<a href="https://doi.org/10.15479/at:ista:18574">10.15479/at:ista:18574</a>
  apa: Gupta, D. (2024). <i>Visual adaptations to natural statistics</i>. Institute
    of Science and Technology Austria. <a href="https://doi.org/10.15479/at:ista:18574">https://doi.org/10.15479/at:ista:18574</a>
  chicago: Gupta, Divyansh. “Visual Adaptations to Natural Statistics.” Institute
    of Science and Technology Austria, 2024. <a href="https://doi.org/10.15479/at:ista:18574">https://doi.org/10.15479/at:ista:18574</a>.
  ieee: D. Gupta, “Visual adaptations to natural statistics,” Institute of Science
    and Technology Austria, 2024.
  ista: Gupta D. 2024. Visual adaptations to natural statistics. Institute of Science
    and Technology Austria.
  mla: Gupta, Divyansh. <i>Visual Adaptations to Natural Statistics</i>. Institute
    of Science and Technology Austria, 2024, doi:<a href="https://doi.org/10.15479/at:ista:18574">10.15479/at:ista:18574</a>.
  short: D. Gupta, Visual Adaptations to Natural Statistics, Institute of Science
    and Technology Austria, 2024.
corr_author: '1'
date_created: 2024-11-20T21:30:44Z
date_published: 2024-11-22T00:00:00Z
date_updated: 2026-04-07T13:24:48Z
day: '22'
ddc:
- '573'
degree_awarded: PhD
department:
- _id: GradSch
- _id: MaJö
doi: 10.15479/at:ista:18574
ec_funded: 1
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has_accepted_license: '1'
language:
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month: '11'
oa: 1
oa_version: Published Version
page: '86'
project:
- _id: bdaf81a8-d553-11ed-ba76-c95961984540
  grant_number: '101086580'
  name: 'Action Selection in the Midbrain: Neuromodulation of Visuomotor Senses'
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '665385'
  name: International IST Doctoral Program
- _id: 2634E9D2-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '756502'
  name: Circuits of Visual Attention
publication_identifier:
  isbn:
  - 978-3-99078-050-3
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '12349'
    relation: part_of_dissertation
    status: public
  - id: '12370'
    relation: research_data
    status: public
status: public
supervisor:
- first_name: Maximilian A
  full_name: Jösch, Maximilian A
  id: 2BD278E6-F248-11E8-B48F-1D18A9856A87
  last_name: Jösch
  orcid: 0000-0002-3937-1330
title: Visual adaptations to natural statistics
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: '2024'
...
---
_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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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:
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department:
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doi: 10.15479/AT:ISTA:12817
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month: '05'
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oa_version: Published Version
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '13267'
    relation: used_in_publication
    status: public
status: public
title: Research data for the publication "Dense 4D nanoscale reconstruction of living
  brain tissue"
tmp:
  image: /images/cc_by_sa.png
  legal_code_url: https://creativecommons.org/licenses/by-sa/4.0/legalcode
  name: Creative Commons Attribution-ShareAlike 4.0 International Public License (CC
    BY-SA 4.0)
  short: CC BY-SA (4.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '13126'
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 Jakob Vorlaufer, Nathalie Agudelo-Dueñas, Wiebke Jahr,
  Andreas Wartak for microscope maintenance and troubleshooting, Caroline Kreuzinger,
  Anna Freeman, and Irene Erber for technical assistance and Matthias Tomschik for
  support with obtaining human samples. We gratefully acknowledge Eder Miguel for
  setting up webKnossos and Marek Šuplata for computational support and hardware control.
  We are grateful to Ryuichi Shigemoto and Bernd Bickel for generous support, and
  Michael Sixt and Scott Boyd (Stanford University) for discussions and critical reading
  of the manuscript. PSD95-HaloTag mice were kindly provided by Seth Grant (University
  of Edinburgh). We acknowledge expert support by IST Austria’s scientific computing,
  imaging and optics, preclinical, and lab support facilities, and by the Library
  and Miba machine shop.\r\nWe gratefully acknowledge funding by the following sources:
  \r\nAustrian Science Fund (FWF) grant I3600-B27 (JGD)\r\nAustrian Science Fund (FWF)
  grant DK W1232 (JGD, JMM)\r\nAustrian Science Fund (FWF) grant Z 312-B27, Wittgenstein
  award (PJ)\r\nAustrian Science Funds (FWF) projects I4685-B, I6565-B (SYNABS) and
  DOC 33-B27 (RH)\r\nGesellschaft für Forschungsförderung NÖ (NFB) grant LSC18-022
  (JGD)\r\nEuropean Union’s Horizon 2020 research and innovation programme, European
  Research Council (ERC) grant 715508 – REVERSEAUTISM (GN)\r\nEuropean Union’s Horizon
  2020 research and innovation programme, European Research Council (ERC) grant 692692
  – GIANTSYN (PJ)\r\nMarie Skłodowska-Curie Actions Fellowship GA no. 665385 under
  the EU Horizon 2020 program (JMM, JL)\r\nMarie Skłodowska-Curie Actions Individual
  Fellowship 101026635 under the EU Horizon 2020 program (JFW)"
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 “Imaging brain tissue architecture
    across millimeter to nanometer scales.” 2023. doi:<a href="https://doi.org/10.15479/AT:ISTA:13126">10.15479/AT:ISTA:13126</a>
  apa: Danzl, J. G. (2023). Research data for the publication “Imaging brain tissue
    architecture across millimeter to nanometer scales.” Institute of Science and
    Technology Austria. <a href="https://doi.org/10.15479/AT:ISTA:13126">https://doi.org/10.15479/AT:ISTA:13126</a>
  chicago: Danzl, Johann G. “Research Data for the Publication ‘Imaging Brain Tissue
    Architecture across Millimeter to Nanometer Scales.’” Institute of Science and
    Technology Austria, 2023. <a href="https://doi.org/10.15479/AT:ISTA:13126">https://doi.org/10.15479/AT:ISTA:13126</a>.
  ieee: J. G. Danzl, “Research data for the publication ‘Imaging brain tissue architecture
    across millimeter to nanometer scales.’” Institute of Science and Technology Austria,
    2023.
  ista: Danzl JG. 2023. Research data for the publication ‘Imaging brain tissue architecture
    across millimeter to nanometer scales’, Institute of Science and Technology Austria,
    <a href="https://doi.org/10.15479/AT:ISTA:13126">10.15479/AT:ISTA:13126</a>.
  mla: Danzl, Johann G. <i>Research Data for the Publication “Imaging Brain Tissue
    Architecture across Millimeter to Nanometer Scales.”</i> Institute of Science
    and Technology Austria, 2023, doi:<a href="https://doi.org/10.15479/AT:ISTA:13126">10.15479/AT:ISTA:13126</a>.
  short: J.G. Danzl, (2023).
contributor:
- first_name: Julia M
  id: 443DB6DE-F248-11E8-B48F-1D18A9856A87
  last_name: Michalska
- first_name: Julia
  id: 46E28B80-F248-11E8-B48F-1D18A9856A87
  last_name: Lyudchik
- first_name: Philipp
  id: 39BDC62C-F248-11E8-B48F-1D18A9856A87
  last_name: Velicky
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  last_name: Cenameri
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  last_name: Sommer
  orcid: 0000-0003-1216-9105
- first_name: Nicole
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  last_name: Amberg
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- first_name: Alessandro
  id: 41CB84B2-F248-11E8-B48F-1D18A9856A87
  last_name: Venturino
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- first_name: Karl
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  last_name: Czech
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- first_name: Sandra
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  last_name: Siegert
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  id: 3E57A680-F248-11E8-B48F-1D18A9856A87
  last_name: Novarino
  orcid: 0000-0002-7673-7178
- first_name: Peter M
  id: 353C1B58-F248-11E8-B48F-1D18A9856A87
  last_name: Jonas
  orcid: 0000-0001-5001-4804
corr_author: '1'
date_created: 2023-06-07T07:15:12Z
date_published: 2023-08-04T00:00:00Z
date_updated: 2026-04-14T08:34:35Z
day: '04'
ddc:
- '610'
department:
- _id: JoDa
- _id: SaSi
- _id: GaNo
- _id: PeJo
- _id: Bio
- _id: RySh
doi: 10.15479/AT:ISTA:13126
ec_funded: 1
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  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: 2026-07-06T12:49:46Z
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:
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intvolume: '        20'
isi: 1
language:
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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:
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    relation: research_data
    status: public
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    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'
...
---
OA_place: publisher
_id: '9418'
abstract:
- lang: eng
  text: "Deep learning is best known for its empirical success across a wide range
    of applications\r\nspanning computer vision, natural language processing and speech.
    Of equal significance,\r\nthough perhaps less known, are its ramifications for
    learning theory: deep networks have\r\nbeen observed to perform surprisingly well
    in the high-capacity regime, aka the overfitting\r\nor underspecified regime.
    Classically, this regime on the far right of the bias-variance curve\r\nis associated
    with poor generalisation; however, recent experiments with deep networks\r\nchallenge
    this view.\r\n\r\nThis thesis is devoted to investigating various aspects of underspecification
    in deep learning.\r\nFirst, we argue that deep learning models are underspecified
    on two levels: a) any given\r\ntraining dataset can be fit by many different functions,
    and b) any given function can be\r\nexpressed by many different parameter configurations.
    We refer to the second kind of\r\nunderspecification as parameterisation redundancy
    and we precisely characterise its extent.\r\nSecond, we characterise the implicit
    criteria (the inductive bias) that guide learning in the\r\nunderspecified regime.
    Specifically, we consider a nonlinear but tractable classification\r\nsetting,
    and show that given the choice, neural networks learn classifiers with a large
    margin.\r\nThird, we consider learning scenarios where the inductive bias is not
    by itself sufficient to\r\ndeal with underspecification. We then study different
    ways of ‘tightening the specification’: i)\r\nIn the setting of representation
    learning with variational autoencoders, we propose a hand-\r\ncrafted regulariser
    based on mutual information. ii) In the setting of binary classification, we\r\nconsider
    soft-label (real-valued) supervision. We derive a generalisation bound for linear\r\nnetworks
    supervised in this way and verify that soft labels facilitate fast learning. Finally,
    we\r\nexplore an application of soft-label supervision to the training of multi-exit
    models."
acknowledged_ssus:
- _id: ScienComp
- _id: CampIT
- _id: E-Lib
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Phuong
  full_name: Bui Thi Mai, Phuong
  id: 3EC6EE64-F248-11E8-B48F-1D18A9856A87
  last_name: Bui Thi Mai
citation:
  ama: Phuong M. Underspecification in deep learning. 2021. doi:<a href="https://doi.org/10.15479/AT:ISTA:9418">10.15479/AT:ISTA:9418</a>
  apa: Phuong, M. (2021). <i>Underspecification in deep learning</i>. Institute of
    Science and Technology Austria. <a href="https://doi.org/10.15479/AT:ISTA:9418">https://doi.org/10.15479/AT:ISTA:9418</a>
  chicago: Phuong, Mary. “Underspecification in Deep Learning.” Institute of Science
    and Technology Austria, 2021. <a href="https://doi.org/10.15479/AT:ISTA:9418">https://doi.org/10.15479/AT:ISTA:9418</a>.
  ieee: M. Phuong, “Underspecification in deep learning,” Institute of Science and
    Technology Austria, 2021.
  ista: Phuong M. 2021. Underspecification in deep learning. Institute of Science
    and Technology Austria.
  mla: Phuong, Mary. <i>Underspecification in Deep Learning</i>. Institute of Science
    and Technology Austria, 2021, doi:<a href="https://doi.org/10.15479/AT:ISTA:9418">10.15479/AT:ISTA:9418</a>.
  short: M. Phuong, Underspecification in Deep Learning, Institute of Science and
    Technology Austria, 2021.
corr_author: '1'
date_created: 2021-05-24T13:06:23Z
date_published: 2021-05-30T00:00:00Z
date_updated: 2026-04-08T07:01:17Z
day: '30'
ddc:
- '000'
degree_awarded: PhD
department:
- _id: GradSch
- _id: ChLa
doi: 10.15479/AT:ISTA:9418
file:
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language:
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month: '05'
oa: 1
oa_version: Published Version
page: '125'
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
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status: public
supervisor:
- first_name: Christoph
  full_name: Lampert, Christoph
  id: 40C20FD2-F248-11E8-B48F-1D18A9856A87
  last_name: Lampert
  orcid: 0000-0001-8622-7887
title: Underspecification in deep learning
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2021'
...
---
OA_place: publisher
_id: '8032'
abstract:
- lang: eng
  text: "Algorithms in computational 3-manifold topology typically take a triangulation
    as an input and return topological information about the underlying 3-manifold.
    However, extracting the desired information from a triangulation (e.g., evaluating
    an invariant) is often computationally very expensive. In recent years this complexity
    barrier has been successfully tackled in some cases by importing ideas from the
    theory of parameterized algorithms into the realm of 3-manifolds. Various computationally
    hard problems were shown to be efficiently solvable for input triangulations that
    are sufficiently “tree-like.”\r\nIn this thesis we focus on the key combinatorial
    parameter in the above context: we consider the treewidth of a compact, orientable
    3-manifold, i.e., the smallest treewidth of the dual graph of any triangulation
    thereof. By building on the work of Scharlemann–Thompson and Scharlemann–Schultens–Saito
    on generalized Heegaard splittings, and on the work of Jaco–Rubinstein on layered
    triangulations, we establish quantitative relations between the treewidth and
    classical topological invariants of a 3-manifold. In particular, among other results,
    we show that the treewidth of a closed, orientable, irreducible, non-Haken 3-manifold
    is always within a constant factor of its Heegaard genus."
acknowledged_ssus:
- _id: E-Lib
- _id: CampIT
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Kristóf
  full_name: Huszár, Kristóf
  id: 33C26278-F248-11E8-B48F-1D18A9856A87
  last_name: Huszár
  orcid: 0000-0002-5445-5057
citation:
  ama: Huszár K. Combinatorial width parameters for 3-dimensional manifolds. 2020.
    doi:<a href="https://doi.org/10.15479/AT:ISTA:8032">10.15479/AT:ISTA:8032</a>
  apa: Huszár, K. (2020). <i>Combinatorial width parameters for 3-dimensional manifolds</i>.
    Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT:ISTA:8032">https://doi.org/10.15479/AT:ISTA:8032</a>
  chicago: Huszár, Kristóf. “Combinatorial Width Parameters for 3-Dimensional Manifolds.”
    Institute of Science and Technology Austria, 2020. <a href="https://doi.org/10.15479/AT:ISTA:8032">https://doi.org/10.15479/AT:ISTA:8032</a>.
  ieee: K. Huszár, “Combinatorial width parameters for 3-dimensional manifolds,” Institute
    of Science and Technology Austria, 2020.
  ista: Huszár K. 2020. Combinatorial width parameters for 3-dimensional manifolds.
    Institute of Science and Technology Austria.
  mla: Huszár, Kristóf. <i>Combinatorial Width Parameters for 3-Dimensional Manifolds</i>.
    Institute of Science and Technology Austria, 2020, doi:<a href="https://doi.org/10.15479/AT:ISTA:8032">10.15479/AT:ISTA:8032</a>.
  short: K. Huszár, Combinatorial Width Parameters for 3-Dimensional Manifolds, Institute
    of Science and Technology Austria, 2020.
corr_author: '1'
date_created: 2020-06-26T10:00:36Z
date_published: 2020-06-26T00:00:00Z
date_updated: 2026-04-08T07:21:28Z
day: '26'
ddc:
- '514'
degree_awarded: PhD
department:
- _id: UlWa
doi: 10.15479/AT:ISTA:8032
file:
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has_accepted_license: '1'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: xviii+120
publication_identifier:
  isbn:
  - 978-3-99078-006-0
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
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  - id: '6556'
    relation: dissertation_contains
    status: public
  - id: '7093'
    relation: dissertation_contains
    status: public
status: public
supervisor:
- first_name: Uli
  full_name: Wagner, Uli
  id: 36690CA2-F248-11E8-B48F-1D18A9856A87
  last_name: Wagner
  orcid: 0000-0002-1494-0568
- first_name: Jonathan
  full_name: Spreer, Jonathan
  last_name: Spreer
title: Combinatorial width parameters for 3-dimensional manifolds
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: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2020'
...
---
OA_place: publisher
_id: '8983'
abstract:
- lang: eng
  text: Metabolic adaptation is a critical feature of migrating cells. It tunes the
    metabolic programs of migrating cells to allow them to efficiently exert their
    crucial roles in development, inflammatory responses and tumor metastasis. Cell
    migration through physically challenging contexts requires energy. However, how
    the metabolic reprogramming that underlies in vivo cell invasion is controlled
    is still unanswered. In my PhD project, I identify a novel conserved metabolic
    shift in Drosophila melanogaster immune cells that by modulating their bioenergetic
    potential controls developmentally programmed tissue invasion. We show that this
    regulation requires a novel conserved nuclear protein, named Atossa. Atossa enhances
    the transcription of a set of proteins, including an RNA helicase Porthos and
    two metabolic enzymes, each of which increases the tissue invasion of leading
    Drosophila macrophages and can rescue the atossa mutant phenotype. Porthos selectively
    regulates the translational efficiency of a subset of mRNAs containing a 5’-UTR
    cis-regulatory TOP-like sequence. These 5’TOPL mRNA targets encode mitochondrial-related
    proteins, including subunits of mitochondrial oxidative phosphorylation (OXPHOS)
    components III and V and other metabolic-related proteins. Porthos powers up mitochondrial
    OXPHOS to engender a sufficient ATP supply, which is required for tissue invasion
    of leading macrophages. Atossa’s two vertebrate orthologs rescue the invasion
    defect. In my PhD project, I elucidate that Atossa displays a conserved developmental
    metabolic control to modulate metabolic capacities and the cellular energy state,
    through altered transcription and translation, to aid the tissue infiltration
    of leading cells into energy demanding barriers.
acknowledged_ssus:
- _id: Bio
- _id: LifeSc
- _id: E-Lib
- _id: CampIT
acknowledgement: Also, I would like to express my appreciation and thanks to the Bioimaging
  facility, LSF, GSO, library, and IT people at IST Austria.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Shamsi
  full_name: Emtenani, Shamsi
  id: 49D32318-F248-11E8-B48F-1D18A9856A87
  last_name: Emtenani
  orcid: 0000-0001-6981-6938
citation:
  ama: Emtenani S. Metabolic regulation of Drosophila macrophage tissue invasion.
    2020. doi:<a href="https://doi.org/10.15479/AT:ISTA:8983">10.15479/AT:ISTA:8983</a>
  apa: Emtenani, S. (2020). <i>Metabolic regulation of Drosophila macrophage tissue
    invasion</i>. Institute of Science and Technology Austria. <a href="https://doi.org/10.15479/AT:ISTA:8983">https://doi.org/10.15479/AT:ISTA:8983</a>
  chicago: Emtenani, Shamsi. “Metabolic Regulation of Drosophila Macrophage Tissue
    Invasion.” Institute of Science and Technology Austria, 2020. <a href="https://doi.org/10.15479/AT:ISTA:8983">https://doi.org/10.15479/AT:ISTA:8983</a>.
  ieee: S. Emtenani, “Metabolic regulation of Drosophila macrophage tissue invasion,”
    Institute of Science and Technology Austria, 2020.
  ista: Emtenani S. 2020. Metabolic regulation of Drosophila macrophage tissue invasion.
    Institute of Science and Technology Austria.
  mla: Emtenani, Shamsi. <i>Metabolic Regulation of Drosophila Macrophage Tissue Invasion</i>.
    Institute of Science and Technology Austria, 2020, doi:<a href="https://doi.org/10.15479/AT:ISTA:8983">10.15479/AT:ISTA:8983</a>.
  short: S. Emtenani, Metabolic Regulation of Drosophila Macrophage Tissue Invasion,
    Institute of Science and Technology Austria, 2020.
corr_author: '1'
date_created: 2020-12-30T15:41:26Z
date_published: 2020-12-30T00:00:00Z
date_updated: 2026-04-08T07:28:54Z
day: '30'
ddc:
- '570'
degree_awarded: PhD
department:
- _id: DaSi
doi: 10.15479/AT:ISTA:8983
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publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
  record:
  - id: '8557'
    relation: part_of_dissertation
    status: public
  - id: '6187'
    relation: part_of_dissertation
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status: public
supervisor:
- first_name: Daria E
  full_name: Siekhaus, Daria E
  id: 3D224B9E-F248-11E8-B48F-1D18A9856A87
  last_name: Siekhaus
  orcid: 0000-0001-8323-8353
title: Metabolic regulation of Drosophila macrophage tissue invasion
type: dissertation
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
year: '2020'
...
