AUTHOR=Lee Richard , Van Orden Drew , Blanda Suzanne , Mihalick John , Bickford David , Metsch Patrick 

TITLE=Application of artificial intelligence in the analysis of asbestos fibers

JOURNAL=Frontiers in Public Health

VOLUME=Volume 13 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2025.1584136

DOI=10.3389/fpubh.2025.1584136

ISSN=2296-2565

ABSTRACT=Automated asbestos fiber detection and identification has been the goal of asbestos microscopists for decades. The advent of inexpensive memory, fast digital processing, machine learning, and microscope automation provide the enabling platform for success. This paper will review recent developments in fiber detection and identification by PCM and SEM and will present recent progress in employing artificial intelligence in the TEM classification of asbestos and non-asbestos amphiboles in the evaluation of elongated minerals in raw materials. To date, this project has been self-funded.