000 | 02435 am a22003133u 4500 | ||
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042 | _adc | ||
100 | 1 | 0 |
_aMalin-Mayor, Caroline _eauthor _92332 |
700 | 1 | 0 |
_aHirsch, Peter _eauthor _92333 |
700 | 1 | 0 |
_aGuignard, Leo _eauthor _92334 |
700 | 1 | 0 |
_aMcDole, Katie _eauthor _92335 |
700 | 1 | 0 |
_aWan, Yinan _eauthor _92336 |
700 | 1 | 0 |
_aLemon, William C. _eauthor _92337 |
700 | 1 | 0 |
_aKainmueller, Dagmar _eauthor _92338 |
700 | 1 | 0 |
_aKeller, Philipp J. _eauthor _92339 |
700 | 1 | 0 |
_aPreibisch, Stephan _eauthor _92340 |
700 | 1 | 0 |
_aFunke, Jan _eauthor _92341 |
245 | 0 | 0 | _aAutomated reconstruction of whole-embryo cell lineages by learning from sparse annotations |
260 |
_bNature Publishing Group US, _c2022-09-05. |
||
500 | _a/pmc/articles/PMC7614077/ | ||
500 | _a/pubmed/36065022 | ||
520 | _aWe present a method to automatically identify and track nuclei in time-lapse microscopy recordings of entire developing embryos. The method combines deep learning and global optimization. On a mouse dataset, it reconstructs 75.8% of cell lineages spanning 1 h, as compared to 31.8% for the competing method. Our approach improves understanding of where and when cell fate decisions are made in developing embryos, tissues, and organs. | ||
540 | _a© The Author(s) 2022 | ||
540 | _ahttps://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . | ||
546 | _aen | ||
690 |
_aBrief Communication _92342 |
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655 | 7 |
_aText _2local |
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786 | 0 | _nNat Biotechnol | |
856 | 4 | 1 |
_uhttp://dx.doi.org/10.1038/s41587-022-01427-7 _zConnect to this object online. |
999 |
_c2085 _d2085 |