Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Michał Januszewski"'
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-12 (2019)
Volume electron microscopy data of brain tissue can tell us much about neural circuits, but increasingly large data sets demand automation of analysis. Here, the authors introduce cellular morphology neural networks and successfully automate a range
Externí odkaz:
https://doaj.org/article/38c48d21d4914eeab082cca5e0f1ad3b
Autor:
Fabian Svara, Dominique Förster, Fumi Kubo, Michał Januszewski, Marco dal Maschio, Philipp J. Schubert, Jörgen Kornfeld, Adrian A. Wanner, Eva Laurell, Winfried Denk, Herwig Baier
Publikováno v:
Nature Methods
This Resource presents a serial block-face EM dataset of the whole larval zebrafish brain, including automated segmentation of neurons, detection of synapses and reconstruction of circuitry for visual motion processing. Dense reconstruction of synapt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e242bd6f13c99321ac80e3c690ee79c4
https://doi.org/10.1038/s41592-022-01621-0
https://doi.org/10.1038/s41592-022-01621-0
Autor:
Philipp J. Schubert, Sven Dorkenwald, Michał Januszewski, Jonathan Klimesch, Fabian Svara, Andrei Mancu, Hashir Ahmad, Michale S. Fee, Viren Jain, Joergen Kornfeld
Publikováno v:
Nature Methods
The ability to acquire ever larger datasets of brain tissue using volume electron microscopy leads to an increasing demand for the automated extraction of connectomic information. We introduce SyConn2, an open-source connectome analysis toolkit, whic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::076a15b19620e602fed0a29a13bf4d37
https://hdl.handle.net/21.11116/0000-000C-0072-321.11116/0000-000C-0074-1
https://hdl.handle.net/21.11116/0000-000C-0072-321.11116/0000-000C-0074-1
Autor:
Sven Dorkenwald, Peter H. Li, Michał Januszewski, Daniel R. Berger, Jeremy Maitin-Shepard, Agnes L. Bodor, Forrest Collman, Casey M. Schneider-Mizell, Nuno Maçarico da Costa, Jeff W. Lichtman, Viren Jain
Maps of the nervous system that identify individual cells along with their type, subcellular components, and connectivity have the potential to reveal fundamental organizational principles of neural circuits. Volumetric nanometer-resolution imaging o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e6a43cf1e3e04110fac7c2248d3395b0
https://doi.org/10.1101/2022.03.29.486320
https://doi.org/10.1101/2022.03.29.486320
Autor:
Michał Januszewski, K. Slangewal, F. Svara, J. M. Kappel, S. Sherman, Herwig Baier, D. Foerster, Johannes Larsch, Inbal Shainer
Social affiliation emerges from individual-level behavioral rules that are driven by conspecific signals1–5. Long-distance attraction and short-distance repulsion, for example, are rules that jointly set a preferred inter-animal distance in swarms6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66723356d5ffec77b26c47acac01144f
https://doi.org/10.1101/2021.08.17.456614
https://doi.org/10.1101/2021.08.17.456614
Autor:
Johannes M. Kappel, Dominique Förster, Katja Slangewal, Inbal Shainer, Fabian Svara, Joseph C. Donovan, Shachar Sherman, Michał Januszewski, Herwig Baier, Johannes Larsch
Publikováno v:
Nature
Social affiliation emerges from individual-level behavioural rules that are driven by conspecific signals1–5. Long-distance attraction and short-distance repulsion, for example, are rules that jointly set a preferred interanimal distance in swarms6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b78af107ed34aae79bf36a38384d7b1
https://pubmed.ncbi.nlm.nih.gov/35831500
https://pubmed.ncbi.nlm.nih.gov/35831500
Autor:
Graham Knott, Michał Januszewski, Zhiyuan Lu, Kenneth J. Hayworth, David Peale, Harald F. Hess, C. Shan Xu
Publikováno v:
Nature Methods. 17:68-71
We demonstrate gas cluster ion beam scanning electron microscopy (SEM), in which wide-area ion milling is performed on a series of thick tissue sections. This three-dimensional electron microscopy technique acquires datasets with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c57e185e535c07890662bdbd874c91ec
https://doi.org/10.1038/s41592-019-0641-2
https://doi.org/10.1038/s41592-019-0641-2
Autor:
David Minnen, Michał Januszewski, Tim Blakely, Alexander Shapson-Coe, Richard L. Schalek, Johannes Ballé, Jeff W. Lichtman, Viren Jain
Connectomic reconstruction of neural circuits relies on nanometer resolution microscopy which produces on the order of a petabyte of imagery for each cubic millimeter of brain tissue. The cost of storing such data is a significant barrier to broadeni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18c5e2a7b4e26c45e3374d350f77874c
https://doi.org/10.1101/2021.05.29.445828
https://doi.org/10.1101/2021.05.29.445828
Autor:
Donglai Wei, Benjamin Field, Hank Wu, Rohin Kar, Viren Jain, Laramie Leavitt, Dongil Lee, Art Pope, Michał Januszewski, Shuo Hong Wang, Peter H. Li, Jeremy Maitin-Shepard, Alex Shapson-Coe, Zudi Lin, Joanna Lau, David Aley, Adi Peleg, Richard Schalek, Hanspeter Pfister, Yuelong Wu, Tim Blakely, Jeff W. Lichtman, Evelina Sjostedt, Sven Dorkenwald, Luke Bailey, Angerica Fitzmaurice, Daniel R. Berger, Neha Karlupia, Julian Wagner-Carena
We acquired a rapidly preserved human surgical sample from the temporal lobe of the cerebral cortex. We stained a 1 mm3 volume with heavy metals, embedded it in resin, cut more than 5000 slices at ∼30 nm and imaged these sections using a high-speed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cd52457355069886919a430d8cbb3b5
https://doi.org/10.1101/2021.05.29.446289
https://doi.org/10.1101/2021.05.29.446289
Autor:
Davi D. Bock, Laramie Leavitt, Eric Perlman, István Taisz, Feng Li, Larry Lindsey, Michał Januszewski, Peter H. Li, Jeremy Maitin-Shepard, Gregory S.X.E. Jefferis, Alexander Shakeel Bates, Michael D. Tyka, Matthew Nichols, Viren Jain, Zhihao Zheng, Tim Blakely
Publikováno v:
SSRN Electronic Journal.
Reconstruction of neural circuitry at single-synapse resolution is a key target for improving understanding of the nervous system in health and disease. Serial section transmission electron microscopy (ssTEM) is among the most prolific imaging method
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e649f3e08be44551cba92abeb1dffec
https://doi.org/10.2139/ssrn.3778333
https://doi.org/10.2139/ssrn.3778333