CellPD specifications


Unique identifier OMICS_26203
Name CellPD
Alternative name Cell Phenotype Digitizer
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input format XLS,XLSX
Output data A report including primary outputs, a summary and ranking of fitted models and publication-quality graphics and additional files such as log-linear plots, black and white plots, figure captions, model descriptions, model equations in latex, table of estimated parameters and a digital cell line file.
Operating system Unix/Linux, Mac OS, Windows
Programming languages Python
License MIT License
Computer skills Advanced
Version 1.0.1
Stability Stable
Maintained Yes


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  • person_outline Paul Macklin <>
  • person_outline Edwin Juarez <>

Additional information


Publication for Cell Phenotype Digitizer

CellPD institution(s)
Lawrence J. Ellison Institute for Transformative Medicine, University of Southern California, Los Angeles, CA, USA; Department of Electrical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, CA, USA
CellPD funding source(s)
Supported by the USC Center for Applied Molecular Medicine, the National Institutes of Health (Physical Sciences Oncology Center grant 5U54CA143907 for Multi-scale Complex Systems Transdisciplinary Analysis of Response to Therapy (MCSTART), and 1R01CA180149), the Breast Cancer Research Foundation, the USC James H. Zumberge Research and Innovation Fund, and USC Provost’s PhD fellowship.

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