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Development of rapid and highly accurate method to measure concentration of fibers in atmosphere using artificial intelligence and scanning electron microscopy
Journal of Occupational Health ( IF 2.6 ) Pub Date : 2021-06-13 , DOI: 10.1002/1348-9585.12238 Yukiko Iida 1, 2 , Kenji Watanabe 3 , Yusuke Ominami 3 , Toshiyuki Toyoguchi 1 , Takehiko Murayama 2 , Masatoshi Honda 4
Journal of Occupational Health ( IF 2.6 ) Pub Date : 2021-06-13 , DOI: 10.1002/1348-9585.12238 Yukiko Iida 1, 2 , Kenji Watanabe 3 , Yusuke Ominami 3 , Toshiyuki Toyoguchi 1 , Takehiko Murayama 2 , Masatoshi Honda 4
Affiliation
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.
中文翻译:
开发利用人工智能和扫描电子显微镜快速、高精度测量大气中纤维浓度的方法
我们的目标是开发一种测量方法,通过配备人工智能图像识别系统(AI-SEM)的扫描电子显微镜快速计数纤维,检测传统相差显微镜(PCM)方法无法观察到的细纤维。
更新日期:2021-06-14
中文翻译:
开发利用人工智能和扫描电子显微镜快速、高精度测量大气中纤维浓度的方法
我们的目标是开发一种测量方法,通过配备人工智能图像识别系统(AI-SEM)的扫描电子显微镜快速计数纤维,检测传统相差显微镜(PCM)方法无法观察到的细纤维。