Automated, image-based quantification of peroxisome characteristics with perox-per-cell.
Bioinformatics
; 2024 Jul 13.
Article
em En
| MEDLINE
| ID: mdl-39001800
ABSTRACT
SUMMARY:
perox-per-cell automates cumbersome, image-based data collection tasks often encountered in peroxisome research. The software processes microscopy images to quantify peroxisome features in yeast cells. It uses off-the-shelf image processing tools to automatically segment cells and peroxisomes and then outputs quantitative metrics including peroxisome counts per cell and spatial areas. In validation tests, we found that perox-per-cell output agrees well with manually quantified peroxisomal counts and cell instances, thereby enabling high-throughput quantification of peroxisomal characteristics. AVAILABILITY AND IMPLEMENTATION The software is coded in Python. Compiled executables and source code are available at https//github.com/AitchisonLab/perox-per-cell. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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MEDLINE
Idioma:
En
Ano de publicação:
2024
Tipo de documento:
Article