LiDRoSIS is an automated MATLAB-Python software suite for the segmentation and quantification of lipid droplets (LDs) and reactive oxygen species (ROS) in fluorescence microscopy images of irradiated A549 and MCF7 cells exposed to gold-based nanoparticles. It combines classical image processing algorithms with statistical post-analysis through a companion Python tool, StatLysis. The platform enables reproducible, high-throughput analysis of morphological and spectral parameters linked to nanoparticle-enhanced radiobiological responses. By bridging imaging and quantitative analytics, LiDRoSIS provides a robust framework for nanomedicine and radiation biology research.
@article{arxiv.2601.14999,
title = {LiDRoSIS: An Automated MATLAB-Python Platform for Image Processing and Quantitative Analysis of Lipid Droplets and ROS in Irradiated Cells},
author = {Marco Ferreira and Ana Belchior and Teresa Pinheiro and Gil Alves and Maria Lopes},
journal= {arXiv preprint arXiv:2601.14999},
year = {2026}
}
Comments
7 pages, 3 figures. Software and data available at https://github.com/marco18010104/LiDRoSIS and https://doi.org/10.5281/zenodo.17407192. For a more detailed article, please reachout [email protected]