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PIQUE: An ImageJ plugin for the quantification of toroidal nuclei in biological images

View ORCID ProfileCarles Pons, View ORCID ProfileCaroline Mauvezin
doi: https://doi.org/10.1101/2022.11.07.515391
Carles Pons
1Institute for Research in Biomedicine (IRB Barcelona), The Barcelona Institute for Science and Technology (BIST), Barcelona, Catalonia, Spain
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  • For correspondence: carles.pons@irbbarcelona.org
Caroline Mauvezin
2Department of Biomedicine, Faculty of Medicine, University of Barcelona, Barcelona, Catalonia, Spain
3August Pi i Sunyer Biomedical Research Institute (IDIBAPS), Barcelona, Catalonia, Spain
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Abstract

The toroidal nucleus is a novel chromosomal instability (CIN) biomarker which complements the micronucleus. Understanding the specific biological stresses leading to the formation of each CIN-associated phenotype requires the evaluation of large panels of biological images collected from different genetic backgrounds and environmental conditions. However, the quantification of toroidal nuclei is currently a manual process which is unviable on a large scale. Here, we present PIQUE (Processing of Images for the QUantification of toroidal nuclEi), a tool that automates the identification of toroidal nuclei, minimizing false positives while highly agreeing with the manual quantifications. Additionally, PIQUE identifies micronuclei for a convenient comparison of both CIN biomarkers. PIQUE is an open-source ImageJ plugin with a user-friendly interface that enables a wide scientific community to easily study the novel toroidal nucleus for the analysis of CIN levels in cellular models.

Availability The plugin, the user manual, and the images used for the evaluation of PIQUE are available upon request from the authors.

Contact carles.pons{at}irbbarcelona.org and caroline.mauvezin{at}ub.edu

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted November 07, 2022.
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PIQUE: An ImageJ plugin for the quantification of toroidal nuclei in biological images
Carles Pons, Caroline Mauvezin
bioRxiv 2022.11.07.515391; doi: https://doi.org/10.1101/2022.11.07.515391
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PIQUE: An ImageJ plugin for the quantification of toroidal nuclei in biological images
Carles Pons, Caroline Mauvezin
bioRxiv 2022.11.07.515391; doi: https://doi.org/10.1101/2022.11.07.515391

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