Zobrazeno 1 - 10
of 331
pro vyhledávání: '"Tomancak, Pavel"'
Autor:
Hartenstein, Volker, Cardona, Albert, Saalfeld, Stephan, Preibisch, Stephan, Schmid, Benjamin, Cheng, Anchi, Pulokas, Jim, Tomancak, Pavel
Publikováno v:
Plos biology,Vol.8 (2010) Bd. 10, ISSN 1544-9173
The analysis of microcircuitry (the connectivity at the level of individual neuronal processes and synapses), which is indispensable for our understanding of brain function, is based on serial transmission electron microscopy (TEM) or one of its mode
Publikováno v:
PLoS Genetics. 2012, Volume 8, Issue 12:e1003200, ISSN 1553-7404
The X chromosome is present as a single copy in the heterogametic sex, and this hemizygosity is expected to drive unusual patterns of evolution on the X relative to the autosomes. For example, the hemizgosity of the X may lead to a lower chromosomal
Autor:
Takáč, Tomáš, Kuběnová, Lenka, Šamajová, Olga, Dvořák, Petr, Řehák, Jan, Haberland, Jan, Bundschuh, Sebastian T., Pechan, Tibor, Tomančák, Pavel, Ovečka, Miroslav, Šamaj, Jozef
Publikováno v:
In Plant Physiology and Biochemistry November 2024 216
The X chromosome is present as a single copy in the heterogametic sex, and this hemizygosity is expected to drive unusual patterns of evolution on the X relative to the autosomes. For example, the hemizgosity of the X may lead to a lower chromosomal
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A28925
https://tud.qucosa.de/api/qucosa%3A28925/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A28925/attachment/ATT-0/
In Vivo RNAi Rescue in Drosophila melanogaster with Genomic Transgenes from Drosophila pseudoobscura
Autor:
Schnorrer, Frank, Tomancak, Pavel, Schönbauer, Cornelia, Ejsmont, Radoslaw K., Langer, Christoph C. H.
Background Systematic, large-scale RNA interference (RNAi) approaches are very valuable to systematically investigate biological processes in cell culture or in tissues of organisms such as Drosophila. A notorious pitfall of all RNAi technologies are
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A29009
https://tud.qucosa.de/api/qucosa%3A29009/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A29009/attachment/ATT-0/
Autor:
Hartenstein, Volker, Cardona, Albert, Saalfeld, Stephan, Preibisch, Stephan, Schmid, Benjamin, Cheng, Anchi, Pulokas, Jim, Tomancak, Pavel
The analysis of microcircuitry (the connectivity at the level of individual neuronal processes and synapses), which is indispensable for our understanding of brain function, is based on serial transmission electron microscopy (TEM) or one of its mode
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A27886
https://tud.qucosa.de/api/qucosa%3A27886/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A27886/attachment/ATT-0/
Automatic detection and segmentation of objects in 2D and 3D microscopy data is important for countless biomedical applications. In the natural image domain, spatial embedding-based instance segmentation methods are known to yield high-quality result
Externí odkaz:
http://arxiv.org/abs/2101.10033
Akademický článek
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Image denoising is the first step in many biomedical image analysis pipelines and Deep Learning (DL) based methods are currently best performing. A new category of DL methods such as Noise2Void or Noise2Self can be used fully unsupervised, requiring
Externí odkaz:
http://arxiv.org/abs/1911.12291
Autor:
Prakash, Mangal, Buchholz, Tim-Oliver, Lalit, Manan, Tomancak, Pavel, Jug, Florian, Krull, Alexander
Deep learning (DL) has arguably emerged as the method of choice for the detection and segmentation of biological structures in microscopy images. However, DL typically needs copious amounts of annotated training data that is for biomedical projects t
Externí odkaz:
http://arxiv.org/abs/1911.12239