Development of rapid and highly accurate method to measure concentration of fibers in atmosphere using artificial intelligence and scanning electron microscopy.

Journal: Journal of occupational health
PMID: 34120387

Abstract

AIM: We aimed to develop a measurement method that can count fibers rapidly by scanning electron microscopy equipped with an artificial intelligence image recognition system (AI-SEM), detecting thin fibers which cannot be observed by a conventional phase contrast microscopy (PCM) method.

Authors

  • Yukiko Iida
    Asbestos Risk Management, Environmental Control Center Corporation, Hachioji, Tokyo, Japan.
  • Kenji Watanabe
    Department of Internal Medicine, Division of Inflammatory Bowel Disease, Hyogo College of Medicine, Hyogo, Japan.
  • Yusuke Ominami
    Innovation Division, Hitachi High-Tech Corporation, Minato-ku, Tokyo, Japan.
  • Toshiyuki Toyoguchi
    Asbestos Risk Management, Environmental Control Center Corporation, Hachioji, Tokyo, Japan.
  • Takehiko Murayama
    School of Environment and Society, Tokyo Institute of Technology, Yokohama, Kanagawa, Japan.
  • Masatoshi Honda
    National Environmental Research and Training Institute, Ministry of the Environment Government of Japan, Tokorozawa, Saitama, Japan.

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