PyPlaque is an open-source python package for phenotypic analysis of virus plaque assays

Virological plaque assays are the primary method for quantifying infectious particles in a suspension, achieved by incubating a serial dilution of the virus with a monolayer of indicator cells. Existing software tools for quantification of plaque assay images lack modularity, show measurements disagreement or are closed-source - a common hurdle in bioimage analysis. We introduce PyPlaque, an open-source Python package focusing on flexibility and modularity rather than a bulky graphic user interface. Unlike previous methods, an abstracted architecture using object-oriented programming allows accommodation of various experimental containers and specimen carriers as data structures while focusing on phenotype-specific information. Aligned with the logical flow of experimental design and desired quantifications, it delivers insights at multiple granularity levels, facilitating detailed analysis. We demonstrate how this approach allows to focus on alleviating the disagreement in measurements. Furthermore, similar design is generalisable to diverse datasets in various biological contexts that fit our structural paradigm.

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Publication Details

Journal
Scientific Reports
Published
2025-10-16
DOI
https://doi.org/10.1038/s41598-025-20075-w
Primary Topic
Cell Image Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00

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article

PyPlaque is an open-source python package for phenotypic analysis of virus plaque assays

Artur Yakimovich, Vardan Andriasyan, Trina De
Scientific Reports
Cell Image Analysis Techniques
article

PyPlaque is an open-source python package for phenotypic analysis of virus plaque assays

Artur Yakimovich, Vardan Andriasyan, Trina De
article en

Abstract

Virological plaque assays are the primary method for quantifying infectious particles in a suspension, achieved by incubating a serial dilution of the virus with a monolayer of indicator cells. Existing software tools for quantification of plaque assay images lack modularity, show measurements disagreement or are closed-source - a common hurdle in bioimage analysis. We introduce PyPlaque, an open-source Python package focusing on flexibility and modularity rather than a bulky graphic user interface. Unlike previous methods, an abstracted architecture using object-oriented programming allows accommodation of various experimental containers and specimen carriers as data structures while focusing on phenotype-specific information. Aligned with the logical flow of experimental design and desired quantifications, it delivers insights at multiple granularity levels, facilitating detailed analysis. We demonstrate how this approach allows to focus on alleviating the disagreement in measurements. Furthermore, similar design is generalisable to diverse datasets in various biological contexts that fit our structural paradigm.

Scientific ReportsVol. 15(1)
Deakin University (AU), University of Zurich (CH), University of Wrocław (PL), Helmholtz-Zentrum Dresden-Rossendorf (DE), Institute of Computer Science (PL), Life Science Zurich (CH), Center for Advanced Systems Understanding (DE), Varian Medical Systems (Switzerland) (CH)
Bundesministerium für Bildung und Forschung, Sächsisches Staatsministerium für Wissenschaft und Kunst
Openalex Percentile: Top 79%
Cell Image Analysis Techniques
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PyPlaque is an open-source python package for phenotypic analysis of virus plaque assays — Artur Yakimovich, Vardan Andriasyan, et al. · Scientific Reports (2025) | TGRS Research Map | TGRS