CellPhePy: a Python implementation of the CellPhe toolkit for automated cell phenotyping from microscopy time-lapse videos

Laura Wiggins; Stuart Lacy; Graeme J. Park; Joanne Marrison; Ben Powell; Beth Cimini; Peter John O'Toole; Julie C. Wilson; Will Brackenbury

doi:10.1111/jmi.13416

CellPhePy: a Python implementation of the CellPhe toolkit for automated cell phenotyping from microscopy time-lapse videos

Laura Wiggins
, Stuart Lacy
, Graeme J. Park
, Joanne Marrison
, Ben Powell
, Beth Cimini
, Peter John O'Toole
, Julie C. Wilson
, Will Brackenbury

Research output: Contribution to journal › Article › peer-review

Original language	English
Number of pages	9
Journal	Journal of Microscopy
Early online date	24 Apr 2025
DOIs	https://doi.org/10.1111/jmi.13416
Publication status	E-pub ahead of print - 24 Apr 2025

Bibliographical note

Access to Document

10.1111/jmi.13416Licence: CC BY

Journal of Microscopy - 2025 - Wiggins - CellPhePy A python implementation of the CellPhe toolkit for automated cell
© 2025 The Author(s).
Final published version, 1.72 MBLicence: CC BY

2 Finished
2 Active

Removing barriers to advanced imaging and machine learning-based analysis
Brackenbury, W. (Principal investigator), O'TOOLE, P. (Co-investigator) & Powell, B. (Co-investigator)
1/11/24 → 31/12/26
Project: Research project (funded) › Research
Targeting sodium signalling to combat the disease-driving effects of tumour hypoxia
Brackenbury, W. (Principal investigator), Bridge, K. (Co-investigator), Duckett, S. (Co-investigator) & Holding, A. (Co-investigator)
MEDICAL RESEARCH COUNCIL (MRC)
1/10/23 → 31/08/27
Project: Research project (funded) › Research
CellPhe 2: Machine learning-based phenotyping to predict cell fate in heterogeneous populations
Brackenbury, W. (Principal investigator), O'TOOLE, P. (Co-investigator) & WILSON, J. (Co-investigator)
BBSRC (BIOTECHNOLOGY AND BIOLOGICAL SCIENCES RESEARCH COUNCIL)
1/02/24 → 31/07/25
Project: Research project (funded) › Research

Cite this

@article{d3a361f037514558a71c3d11d91fae9b,

title = "CellPhePy: a Python implementation of the CellPhe toolkit for automated cell phenotyping from microscopy time-lapse videos",

author = "Laura Wiggins and Stuart Lacy and Park, \{Graeme J.\} and Joanne Marrison and Ben Powell and Beth Cimini and O'Toole, \{Peter John\} and Wilson, \{Julie C.\} and Will Brackenbury",

note = "{\textcopyright} 2025 The Author(s)",

year = "2025",

month = apr,

day = "24",

doi = "10.1111/jmi.13416",

language = "English",

journal = "Journal of Microscopy",

issn = "0022-2720",

publisher = "Wiley-Blackwell Publishing Ltd",

}

TY - JOUR

T1 - CellPhePy

T2 - a Python implementation of the CellPhe toolkit for automated cell phenotyping from microscopy time-lapse videos

AU - Wiggins, Laura

AU - Lacy, Stuart

AU - Park, Graeme J.

AU - Marrison, Joanne

AU - Powell, Ben

AU - Cimini, Beth

AU - O'Toole, Peter John

AU - Wilson, Julie C.

AU - Brackenbury, Will

PY - 2025/4/24

Y1 - 2025/4/24

U2 - 10.1111/jmi.13416

DO - 10.1111/jmi.13416

M3 - Article

SN - 0022-2720

JO - Journal of Microscopy

JF - Journal of Microscopy

ER -

CellPhePy: a Python implementation of the CellPhe toolkit for automated cell phenotyping from microscopy time-lapse videos

Bibliographical note

Access to Document

Projects

Removing barriers to advanced imaging and machine learning-based analysis

Targeting sodium signalling to combat the disease-driving effects of tumour hypoxia

CellPhe 2: Machine learning-based phenotyping to predict cell fate in heterogeneous populations

Cite this