Time series modeling of live-cell shape dynamics for image-based phenotypic profiling

Time series modeling of live-cell shape dynamics for image-based phenotypic profiling

Live-cell imaging can be used to capture spatio-temporal aspects of cellular responses that are not accessible to fixed-cell imaging. As the use of live-cell imaging continues to increase, new computational procedures are needed to characterize and classify the temporal dynamics of individual cells....

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Bibliographic Details
Main Authors: Wells, Alan (Author), Gordonov, Simon (Contributor), Hwang, Mun Kyung (Contributor), Gertler, Frank (Contributor), Lauffenburger, Douglas A (Contributor), Bathe, Mark (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Massachusetts Institute of Technology. Department of Biology (Contributor), Koch Institute for Integrative Cancer Research at MIT (Contributor)
Format: Article
Language:English
Published: Royal Society of Chemistry, 2017-01-30T21:51:59Z.
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