Using digital pathology to standardize and automate histological evaluations of environmental samples

作者：Philip Tanabe, Daniel Schlenk, Kristy L. Forsgren, Daniela M. Pampanin · 发表于：Environmental Toxicology and Chemistry · 年份：2025 · DOI：10.1093/etojnl/vgae038 · 被引用次数：6 · 研究领域：Cell Image Analysis Techniques、Immunotoxicology and immune responses、AI in cancer detection

Histological evaluations of tissues are commonly used in environmental monitoring studies to assess the health and fitness status of populations or even whole ecosystems. Although traditional histology can be cost-effective, there is a shortage of proficient histopathologists and results can often be subjective between operators, leading to variance. Digital pathology is a powerful diagnostic tool that has already significantly transformed research in human health but has rarely been applied to environmental studies. Digital analyses of whole slide images introduce possibilities of highly standardized histopathological evaluations, as well as the use of artificial intelligence for novel analyses. Furthermore, incorporation of digital pathology into environmental monitoring studies using standardized bioindicator species or groups such as bivalves and fish can greatly improve the accuracy, reproducibility, and efficiency of the studies. This review aims to introduce readers to digital pathology and how it can be applied to environmental studies. This includes guidelines for sample preparation, potential sources of error, and comparisons to traditional histopathological analyses.