scholarly journals Corrigendum to OpenComet: An automated tool for comet assay image analysis [Redox Biol. Volume 2, 2014, Pages 457–465]

Redox Biology ◽  
2021 ◽  
Vol 40 ◽  
pp. 101876
Author(s):  
Benjamin M. Gyori ◽  
Gireedhar Venkatachalam ◽  
P.S. Thiagarajan ◽  
David Hsu ◽  
Marie-Veronique Clement
Keyword(s):  
Image Analysis ◽  
Comet Assay ◽  
Automated Tool

scholarly journals OpenComet: An automated tool for comet assay image analysis

Redox Biology ◽  
2014 ◽  
Vol 2 ◽  
pp. 457-465 ◽  
Author(s):  
Benjamin M. Gyori ◽  
Gireedhar Venkatachalam ◽  
P.S. Thiagarajan ◽  
David Hsu ◽  
Marie-Veronique Clement
Keyword(s):  
Image Analysis ◽  
Comet Assay ◽  
Automated Tool

CometQ: An automated tool for the detection and quantification of DNA damage using comet assay image analysis

2016 ◽  
Vol 133 ◽  
pp. 143-154 ◽  
Author(s):  
Sreelatha Ganapathy ◽  
Aparna Muraleedharan ◽  
Puthumangalathu Savithri Sathidevi ◽  
Parkash Chand ◽  
Ravi Philip Rajkumar
Keyword(s):  
Dna Damage ◽  
Image Analysis ◽  
Comet Assay ◽  
Automated Tool ◽  
Detection And Quantification

Technical Report Image analysis of comet assay measurements

1997 ◽  
Vol 72 (4) ◽  
pp. 449-460 ◽  
Author(s):  
W. BOCKER, T. BAUCH, W.-U. MULLER and
Keyword(s):  
Image Analysis ◽  
Comet Assay ◽  
Technical Report

Detection of irradiated quail meat by using DNA comet assay and evaluation of comets by image analysis

2009 ◽  
Vol 78 (9) ◽  
pp. 776-781 ◽  
Author(s):  
Yakup Erel ◽  
Nizamettin Yazici ◽  
Sumer Özvatan ◽  
Demet Ercin ◽  
Nurcan Cetinkaya
Keyword(s):  
Image Analysis ◽  
Comet Assay ◽  
Dna Comet Assay

Inter-laboratory comparison of the in vivo comet assay including three image analysis systems

2015 ◽  
Vol 56 (9) ◽  
pp. 788-793 ◽  
Author(s):  
Ulla Plappert-Helbig ◽  
Melanie Guérard
Keyword(s):  
Image Analysis ◽  
Comet Assay

scholarly journals Evaluation of manual and image analysis quantification of DNA damage in the alkaline comet assay

Mutagenesis ◽  
1997 ◽  
Vol 12 (4) ◽  
pp. 209-214 ◽  
Author(s):  
P.J. McCarthy ◽  
S.F. Sweetman ◽  
P.G. McKenna ◽  
V.J. McKelvey-Martin
Keyword(s):  
Dna Damage ◽  
Image Analysis ◽  
Comet Assay ◽  
Alkaline Comet Assay

scholarly journals Deep learning method for comet segmentation and comet assay image analysis

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Yiyu Hong ◽  
Hyo-Jeong Han ◽  
Hannah Lee ◽  
Donghwan Lee ◽  
Junsu Ko ◽  
...  
Keyword(s):  
Image Analysis ◽  
Deep Learning ◽  
Comet Assay ◽  
Tail Length ◽  
High Sensitivity ◽  
Analysis Tool ◽  
Test Results ◽  
Practical Application ◽  
Average Precision ◽  
The Arts

Abstract Comet assay is a widely used method, especially in the field of genotoxicity, to quantify and measure DNA damage visually at the level of individual cells with high sensitivity and efficiency. Generally, computer programs are used to analyze comet assay output images following two main steps. First, each comet region must be located and segmented, and next, it is scored using common metrics (e.g., tail length and tail moment). Currently, most studies on comet assay image analysis have adopted hand-crafted features rather than the recent and effective deep learning (DL) methods. In this paper, however, we propose a DL-based baseline method, called DeepComet, for comet segmentation. Furthermore, we created a trainable and testable comet assay image dataset that contains 1037 comet assay images with 8271 manually annotated comet objects. From the comet segmentation test results with the proposed dataset, the DeepComet achieves high average precision (AP), which is an essential metric in image segmentation and detection tasks. A comparative analysis was performed between the DeepComet and the state-of-the-arts automatic comet segmentation programs on the dataset. Besides, we found that the DeepComet records high correlations with a commercial comet analysis tool, which suggests that the DeepComet is suitable for practical application.

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