CellPhePy: A python implementation of the CellPhe toolkit for automated cell phenotyping from microscopy time-lapse videos.

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Bibliographic Details
Title: CellPhePy: A python implementation of the CellPhe toolkit for automated cell phenotyping from microscopy time-lapse videos.
Authors: Wiggins L; Department of Materials Science and Engineering, University of Sheffield, Sheffield, UK., Lacy S; Wolfson Atmospheric Chemistry Laboratories, University of York, York, UK., Park G; York Biomedical Research Institute, University of York, York, UK.; Department of Biology, University of York, York, UK., Marrison J; York Biomedical Research Institute, University of York, York, UK.; Department of Biology, University of York, York, UK., Powell B; Department of Mathematics, University of York, York, UK., Cimini B; Imaging Platform, Cambridge, Massachusetts., O'Toole P; York Biomedical Research Institute, University of York, York, UK.; Department of Biology, University of York, York, UK., Wilson J; Department of Mathematics, University of York, York, UK., Brackenbury WJ; York Biomedical Research Institute, University of York, York, UK.; Department of Biology, University of York, York, UK.
Source: Journal of microscopy [J Microsc] 2025 Nov; Vol. 300 (2), pp. 250-259. Date of Electronic Publication: 2025 Apr 24.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Published for the Royal Microscopical Society by Blackwell Scientific Publications Country of Publication: England NLM ID: 0204522 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2818 (Electronic) Linking ISSN: 00222720 NLM ISO Abbreviation: J Microsc Subsets: MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:1365-2818
DOI:10.1111/jmi.13416