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Current approaches to fate mapping and lineage tracing using image data
Author(s) -
Steffen Wolf,
Yinan Wan,
Katie McDole
Publication year - 2021
Publication title -
development
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.754
H-Index - 325
eISSN - 1477-9129
pISSN - 0950-1991
DOI - 10.1242/dev.198994
Subject(s) - biology , tracing , lineage (genetic) , computational biology , cell lineage , genomics , software , evolutionary biology , data science , genome , computer science , cellular differentiation , genetics , gene , programming language , operating system
Visualizing, tracking and reconstructing cell lineages in developing embryos has been an ongoing effort for well over a century. Recent advances in light microscopy, labelling strategies and computational methods to analyse complex image datasets have enabled detailed investigations into the fates of cells. Combined with powerful new advances in genomics and single-cell transcriptomics, the field of developmental biology is able to describe the formation of the embryo like never before. In this Review, we discuss some of the different strategies and applications to lineage tracing in live-imaging data and outline software methodologies that can be applied to various cell-tracking challenges.

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