LiDRoSIS: An Automated MATLAB-Python Platform for Image Processing and Quantitative Analysis of Lipid Droplets and ROS in Irradiated Cells

Abstract

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.

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]