Development of an Automated Microscope for Supporting Qualitative Asbestos Analysis by Dispersion Staining
Kuniaki Kawabata*1, Soichiro Morishita*2, Hiroshi Takemura*3, Kazuhiro Hotta*4, Taketoshi Mishima*5, Hajime Asama*2,
Hiroshi Mizoguchi*3, and Haruhisa Takahashi*4
*1Kawabata Intelligent System Research Unit, RIKEN, Hirosawa 2-1, Wako, Saitama 351-0198, Japan
*2RACE, The University of Tokyo
*3Faculty of Science and Technology, Tokyo University of Science
*4Department of Information and Communication Engineering, The University of Electro-Communications
*5Department of Information and Computer Science, Saitama University
This paper introduces automated microscopic observation supporting qualitative asbestos analysis. Visual qualitative asbestos evaluation generally involves dispersion staining. Operators conventionally check and count asbestos fibers visually by microscope. We are developing automated microscopic observation to support qualitative asbestos analysis. The system images fibers by microscope and saves them automatically to a database. We introduce system concepts and performance using the prototype we developed.
Hiroshi Mizoguchi, and Haruhisa Takahashi, “Development of an Automated Microscope for Supporting Qualitative Asbestos Analysis by Dispersion Staining,” J. Robot. Mechatron., Vol.21, No.2, pp. 186-192, 2009.
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