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CometAnalyser: A user-friendly, open-source deep-learning microscopy tool for quantitative comet assay analysis

Authors :
Attila Beleon
Sara Pignatta
Chiara Arienti
Antonella Carbonaro
Peter Horvath
Giovanni Martinelli
Gastone Castellani
Anna Tesei
Filippo Piccinini
Source :
Computational and Structural Biotechnology Journal, Vol 20, Iss , Pp 4122-4130 (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

Comet assay provides an easy solution to estimate DNA damage in single cells through microscopy assessment. It is widely used in the analysis of genotoxic damages induced by radiotherapy or chemotherapeutic agents. DNA damage is quantified at the single-cell level by computing the displacement between the genetic material within the nucleus, typically called “comet head”, and the genetic material in the surrounding part of the cell, considered as the “comet tail”. Today, the number of works based on Comet Assay analyses is really impressive. In this work, besides revising the solutions available to obtain reproducible and reliable quantitative data, we developed an easy-to-use tool named CometAnalyser. It is designed for the analysis of both fluorescent and silver-stained wide-field microscopy images and allows to automatically segment and classify the comets, besides extracting Tail Moment and several other intensity/morphological features for performing statistical analysis. CometAnalyser is an open-source deep-learning tool. It works with Windows, Macintosh, and UNIX-based systems. Source code, standalone versions, user manual, sample images, video tutorial and further documentation are freely available at: https://sourceforge.net/p/cometanalyser.

Details

Language :
English
ISSN :
20010370
Volume :
20
Issue :
4122-4130
Database :
Directory of Open Access Journals
Journal :
Computational and Structural Biotechnology Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.b8235e0aa9474dfe8122d8b4d84b6f09
Document Type :
article
Full Text :
https://doi.org/10.1016/j.csbj.2022.07.053