filters_region_cap | custom
Filter
facetapi-Q2b17qCsTdECvJIqZJgYMaGsr8vANl1n | block
Associated Lab
facetapi-PV5lg7xuz68EAY8eakJzrcmwtdGEnxR0 | block
Publication Date
general_search_page-panel_pane_1 | views_panes
1 Janelia Publications
Showing 1-1 of 1 resultsYour Criteria:
01/01/23 |
Automated reconstruction of whole-embryo cell lineages by learning from sparse annotations.
Nature Biotechnology. 2023 Jan 01;41(1):44-49. doi: 10.1038/s41587-022-01427-7
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.