OrganoidTracker: Efficient cell tracking using machine learning and manual error correction
OrganoidTracker: Efficient cell tracking using machine learning and manual error correction
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Publisher
United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Scope and Contents
Contents
Time-lapse microscopy is routinely used to follow cells within organoids, allowing direct study of division and differentiation patterns. There is an increasing interest in cell tracking in organoids, which makes it possible to study their growth and homeostasis at the single-cell level. As tracking these cells by hand is prohibitively time consumi...
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Full title
OrganoidTracker: Efficient cell tracking using machine learning and manual error correction
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TN_cdi_plos_journals_2453677411
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2453677411
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0240802
