Journal article
Steffen Wolf*, Yinan Wan*, K. McDole, (*equal contribution)
Development, 2021
Development, 2021
DOI:
10.1242/dev.198994
DOI
PubMed
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APA
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Wolf*, S., Wan*, Y., McDole, K., & (*equal contribution). (2021). Current approaches to fate mapping and lineage tracing using image data. Development. https://doi.org/10.1242/dev.198994
Chicago/Turabian
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Wolf*, Steffen, Yinan Wan*, K. McDole, and (*equal contribution). “Current Approaches to Fate Mapping and Lineage Tracing Using Image Data.” Development (2021).
MLA
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Wolf*, Steffen, et al. “Current Approaches to Fate Mapping and Lineage Tracing Using Image Data.” Development, 2021, doi:10.1242/dev.198994.
BibTeX Click to copy
@article{steffen2021a,
title = {Current approaches to fate mapping and lineage tracing using image data.},
year = {2021},
journal = {Development},
doi = {10.1242/dev.198994},
author = {Wolf*, Steffen and Wan*, Yinan and McDole, K. and (*equal contribution)}
}
Abstract
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.