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bioRxiv · 10.1101/2024.04.08.588597

Automated, image-based quantification of peroxisome characteristics with perox-per-cell

Neal, M. L.·Shukla, N.·Mast, F. D.·Farre, J.-C.·Pacio, T. M.·Raney-Plourde, K. E.·Prasad, S.·Subramani, S.·Aitchison, J. D.
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Abstract

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. The software is available at https://github.com/AitchisonLab/perox-per-cell

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Neal, M. L., Shukla, N., Mast, F. D., Farre, J.-C., Pacio, T. M., Raney-Plourde, K. E., Prasad, S., Subramani, S., Aitchison, J. D.. 2024-04-12. Automated, image-based quantification of peroxisome characteristics with perox-per-cell. https://doi.org/10.1101/2024.04.08.588597

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