Computational histology reveals that concomitant application of insect repellent with sunscreen impairs UV protection in an ex vivo human skin model.

ABSTRACT:

Background

Histological alterations such as nuclear abnormalities are sensitive biomarkers associated with diseases, tissue injury and environmental insults. While visual inspection and human interpretation of histology images are useful for initial characterization, such low-throughput procedures suffer from inherent limitations in terms of reliability, objectivity and reproducibility. Artificial intelligence and digital morphometry offer unprecedented opportunities to quickly and accurately assess nuclear morphotypes in relation to tissue damage including skin injury.

Methods

In this work, we designed NoxiScore, a pipeline providing an integrated, deep learning-based software solution for fully automated and quantitative analysis of nucleus-related features in histological

SUBMITTER: Charrasse S 

PROVIDER: S-EPMC11881410 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature