CellPyAbility: automated image analysis for high-throughput dose-response screening

James L Elia, Sam Friedman, Ranjit S Bindra

Open source

DOI: 10.1093/bioinformatics/btag513
Published: 2026-07
Container: Bioinformatics
Publisher: Oxford University Press (OUP)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1093/bioinformatics/btag513,
  title = {CellPyAbility: automated image analysis for high-throughput dose-response screening},
  author = {James L Elia and Sam Friedman and Ranjit S Bindra},
  year = {2026},
  journal = {Bioinformatics},
  doi = {10.1093/bioinformatics/btag513},
  url = {https://doi.org/10.1093/bioinformatics/btag513}
}

RIS

TY  - JOUR
TI  - CellPyAbility: automated image analysis for high-throughput dose-response screening
AU  - James L Elia
AU  - Sam Friedman
AU  - Ranjit S Bindra
PY  - 2026
JO  - Bioinformatics
DO  - 10.1093/bioinformatics/btag513
UR  - https://doi.org/10.1093/bioinformatics/btag513
ER  -

APA

Elia, J. L., Friedman, S., & Bindra, R. S. (2026). CellPyAbility: automated image analysis for high-throughput dose-response screening. Bioinformatics. https://doi.org/10.1093/bioinformatics/btag513

Source records

crossref · retrieved 2026-09-25T02:35:25.928Z