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人工智能在石棉纤维分析中的应用。

Application of artificial intelligence in the analysis of asbestos fibers.

作者信息

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

机构信息

RJ Lee Group, Inc., Pittsburgh, PA, United States.

Consultant, Trafford, PA, United States.

出版信息

Front Public Health. 2025 Jul 8;13:1584136. doi: 10.3389/fpubh.2025.1584136. eCollection 2025.

DOI:10.3389/fpubh.2025.1584136
PMID:40697834
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12279743/
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.

摘要

几十年来，自动化石棉纤维检测与识别一直是石棉显微镜工作者的目标。廉价内存、快速数字处理、机器学习以及显微镜自动化的出现为成功提供了支持平台。本文将回顾通过相差显微镜（PCM）和扫描电子显微镜（SEM）进行纤维检测与识别的最新进展，并介绍在利用人工智能对原材料中细长矿物进行石棉和非石棉闪石的透射电子显微镜（TEM）分类方面取得的最新进展。迄今为止，该项目一直是自筹资金。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d141/12279743/3922cd2a9810/fpubh-13-1584136-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d141/12279743/90f6bb1e09ca/fpubh-13-1584136-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d141/12279743/81d6594fcd33/fpubh-13-1584136-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d141/12279743/56a46bf9f393/fpubh-13-1584136-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d141/12279743/4e155e99ea75/fpubh-13-1584136-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d141/12279743/234b3cebe976/fpubh-13-1584136-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d141/12279743/3922cd2a9810/fpubh-13-1584136-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d141/12279743/90f6bb1e09ca/fpubh-13-1584136-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d141/12279743/81d6594fcd33/fpubh-13-1584136-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d141/12279743/56a46bf9f393/fpubh-13-1584136-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d141/12279743/4e155e99ea75/fpubh-13-1584136-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d141/12279743/234b3cebe976/fpubh-13-1584136-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d141/12279743/3922cd2a9810/fpubh-13-1584136-g006.jpg

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本文引用的文献

1
Habit of elongate amphibole particles as a predictor of mesothelial carcinogenicity.细长角闪石颗粒习性作为间皮致癌性的预测指标
Toxicol Rep. 2025 Jan 14;14:101908. doi: 10.1016/j.toxrep.2025.101908. eCollection 2025 Jun.
2
Rapid fiber-detection technique by artificial intelligence in phase-contrast microscope images of simulated atmospheric samples.人工智能在模拟大气样本相差显微镜图像中的快速纤维检测技术
Ann Work Expo Health. 2024 Apr 22;68(4):420-426. doi: 10.1093/annweh/wxae014.
3
Deep learning for asbestos counting.深度学习石棉计数。
J Hazard Mater. 2023 Aug 5;455:131590. doi: 10.1016/j.jhazmat.2023.131590. Epub 2023 May 6.
4
Measurement of elongate mineral particles: What we should measure and how do we do it?细长矿物颗粒的测量：我们应该测量什么以及我们如何测量？
Toxicol Appl Pharmacol. 2018 Dec 15;361:36-46. doi: 10.1016/j.taap.2018.08.010. Epub 2018 Aug 19.
5
Development of an automated asbestos counting software based on fluorescence microscopy.基于荧光显微镜的自动化石棉计数软件的开发。
Environ Monit Assess. 2015 Jan;187(1):4166. doi: 10.1007/s10661-014-4166-y. Epub 2014 Dec 3.
6
Automated counting of airborne asbestos fibers by a high-throughput microscopy (HTM) method.高通量显微镜（HTM）法自动计数空气中的石棉纤维。
Sensors (Basel). 2011;11(7):7231-42. doi: 10.3390/s110707231. Epub 2011 Jul 18.
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The mineral nature of asbestos.石棉的矿物质性质。
Regul Toxicol Pharmacol. 2008 Oct;52(1 Suppl):S26-30. doi: 10.1016/j.yrtph.2007.09.008. Epub 2007 Oct 1.
8
Naturally occurring asbestos: a recurring public policy challenge.天然存在的石棉：一个反复出现的公共政策挑战。
J Hazard Mater. 2008 May 1;153(1-2):1-21. doi: 10.1016/j.jhazmat.2007.11.079. Epub 2007 Nov 28.
9
Characterizing and discriminating the shape of asbestos particles.表征和区分石棉颗粒的形状。
Environ Res. 1980 Dec;23(2):348-61. doi: 10.1016/0013-9351(80)90070-5.
10
Measurement of asbestos exposure.石棉暴露的测量。
J Occup Med. 1968 Jan;10(1):21-4.