---
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acknowledged_ssus:
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- _id: PreCl
- _id: ScienComp
acknowledgement: "The work presented in this doctoral thesis was performed at the
  Institute of Science\r\nand Technology (ISTA) and financially supported by a European
  Research Council\r\n(ERC) Consolidator Grant (PR1028ERC02), by SFARI (PR1028SIM02)
  and by the\r\nAustrian Science Fund (FWF) to Gaia Novarino (PE1028W1232). I am very
  thankful\r\nto the Doctoral Program “Molecular Drug Targets” (MolTag) for offering
  me financial\r\nsupport to perform essential experiments during my PhD studies and
  to participate in\r\ninternational conferences and courses."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Lena A
  full_name: Schwarz, Lena A
  id: 29A8453C-F248-11E8-B48F-1D18A9856A87
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citation:
  ama: Schwarz LA. Mapping developmental dynamics of autism spectrum disorder mouse
    models at single-cell resolution. 2025. doi:<a href="https://doi.org/10.15479/AT-ISTA-19557">10.15479/AT-ISTA-19557</a>
  apa: Schwarz, L. A. (2025). <i>Mapping developmental dynamics of autism spectrum
    disorder mouse models at single-cell resolution</i>. Institute of Science and
    Technology Austria. <a href="https://doi.org/10.15479/AT-ISTA-19557">https://doi.org/10.15479/AT-ISTA-19557</a>
  chicago: Schwarz, Lena A. “Mapping Developmental Dynamics of Autism Spectrum Disorder
    Mouse Models at Single-Cell Resolution.” Institute of Science and Technology Austria,
    2025. <a href="https://doi.org/10.15479/AT-ISTA-19557">https://doi.org/10.15479/AT-ISTA-19557</a>.
  ieee: L. A. Schwarz, “Mapping developmental dynamics of autism spectrum disorder
    mouse models at single-cell resolution,” Institute of Science and Technology Austria,
    2025.
  ista: Schwarz LA. 2025. Mapping developmental dynamics of autism spectrum disorder
    mouse models at single-cell resolution. Institute of Science and Technology Austria.
  mla: Schwarz, Lena A. <i>Mapping Developmental Dynamics of Autism Spectrum Disorder
    Mouse Models at Single-Cell Resolution</i>. Institute of Science and Technology
    Austria, 2025, doi:<a href="https://doi.org/10.15479/AT-ISTA-19557">10.15479/AT-ISTA-19557</a>.
  short: L.A. Schwarz, Mapping Developmental Dynamics of Autism Spectrum Disorder
    Mouse Models at Single-Cell Resolution, Institute of Science and Technology Austria,
    2025.
corr_author: '1'
date_created: 2025-04-14T06:59:06Z
date_published: 2025-04-14T00:00:00Z
date_updated: 2026-04-14T09:07:14Z
day: '14'
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degree_awarded: PhD
department:
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- _id: GaNo
doi: 10.15479/AT-ISTA-19557
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language:
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license: https://creativecommons.org/licenses/by/4.0/
month: '04'
oa_version: Published Version
page: '124'
project:
- _id: 9B91375C-BA93-11EA-9121-9846C619BF3A
  grant_number: '707964'
  name: Critical windows and reversibility of ASD associated with mutations in chromatin
    remodelers
- _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: 2548AE96-B435-11E9-9278-68D0E5697425
  call_identifier: FWF
  grant_number: W1232
  name: Molecular Drug Targets
publication_identifier:
  issn:
  - 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
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status: public
supervisor:
- first_name: Gaia
  full_name: Novarino, Gaia
  id: 3E57A680-F248-11E8-B48F-1D18A9856A87
  last_name: Novarino
  orcid: 0000-0002-7673-7178
title: Mapping developmental dynamics of autism spectrum disorder mouse models at
  single-cell resolution
tmp:
  image: /images/cc_by.png
  legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
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type: dissertation
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---
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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:
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  pmid:
  - '40335689'
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  file_id: '19959'
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  file_size: 133201290
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has_accepted_license: '1'
intvolume: '       642'
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language:
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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:
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    relation: press_release
    url: https://ista.ac.at/en/news/piecing-together-the-brain-puzzle/
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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
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  short: CC BY (4.0)
type: journal_article
user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd
volume: 642
year: '2025'
...
---
OA_place: repository
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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:
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license: https://creativecommons.org/licenses/by-nc-nd/4.0/
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month: '07'
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oa_version: Preprint
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- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
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  name: International IST Doctoral Program
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  name: Toward an understanding of the brain interstitial system and the extracellular
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  call_identifier: FWF
  grant_number: W1232-B24
  name: Molecular Drug Targets
publication: bioRxiv
publication_status: draft
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title: Light-microscopy based dense connectomic reconstruction of mammalian brain
  tissue
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type: preprint
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year: '2024'
...
