TY  - BOOK
AU  - Malin-Mayor,Caroline
AU  - Hirsch,Peter
AU  - Guignard,Leo
AU  - McDole,Katie
AU  - Wan,Yinan
AU  - Lemon,William C.
AU  - Kainmueller,Dagmar
AU  - Keller,Philipp J.
AU  - Preibisch,Stephan
AU  - Funke,Jan
TI  - Automated reconstruction of whole-embryo cell lineages by learning from sparse annotations
PY  - 2022///-09-05
PB  - Nature Publishing Group US, 
KW  - Text
KW  - local
N1  - /pmc/articles/PMC7614077; /pubmed/36065022
N2  - We 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
UR  - http://dx.doi.org/10.1038/s41587-022-01427-7
ER  -