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Quantitative analysis of cell shape and the cytoskeleton in developmental biology

Author(s)
Yevick, Hannah G.; Martin, Adam C
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Abstract
Computational approaches that enable quantification of microscopy data have revolutionized the field of developmental biology. Due to its inherent complexity, elucidating mechanisms of development requires sophisticated analysis of the structure, shape, and kinetics of cellular processes. This need has prompted the creation of numerous techniques to visualize, quantify, and merge microscopy data. These approaches have defined the order and structure of developmental events, thus, providing insight into the mechanisms that drive them. This review describes current computational approaches that are being used to answer developmental questions related to morphogenesis and describe how these approaches have impacted the field. Our intent is not to comprehensively review techniques, but to highlight examples of how different approaches have impacted our understanding of development. Specifically, we focus on methods to quantify cell shape and cytoskeleton structure and dynamics in developing tissues. Finally, we speculate on where the future of computational analysis in developmental biology might be headed.
Date issued
2018-08
URI
https://hdl.handle.net/1721.1/126783
Department
Massachusetts Institute of Technology. Department of Biology
Journal
Wiley Interdisciplinary Reviews: Developmental Biology
Publisher
Wiley
Citation
Yevick, Hannah G. and Adam C. Martin. “Quantitative analysis of cell shape and the cytoskeleton in developmental biology.” Wiley Interdisciplinary Reviews: Developmental Biology, 7, 4 (August 2018) © 2018 The Author(s)
Version: Author's final manuscript
ISSN
1759-7692
1759-7684

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