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Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2017-01-18
14:15		 Okinawa Tenbusu Naha A Machine Learning Algorithm for the Automatic and Non-invasive Quality Assessment of Confluent Cells
Kazuki Sato (Yamagata Univ.), Hiroto Sasaki, Ryuji Kato (Nagoya Univ.), Tetsuya Yuasa, Siu Kang (Yamagata Univ.) MI2016-98		 In the research field of regenerative medicine, non-invasive method of cell quality classification has been expected for... [more] MI2016-98
pp.101-106
MI 2016-01-20
13:05		 Okinawa Bunka Tenbusu Kan An Image-based Classification Algorithm for the Non-invasive Quality Evaluation of Confluent Cells
Kazuki Sato (Yamagata Univ.), Hiroto Sasaki, Ryuji Kato (Nagoya Univ.), Tetsuya Yuasa, Siu Kang (Yamagata Univ.) MI2015-130		 With recent progress of cell and tissue therapy in regenerative medicine, novel classification method of cell quality ha... [more] MI2015-130
pp.277-282
MBE 2013-10-10
15:15		 Osaka Osaka Electro-Communication University Biological tissues imaging with phase-contrast microscope based on active image processing method
Yasuhiro Miyake, Masaki Hisaka, Takashi Ikuta (Osaka Electro-Communication Univ.) MBE2013-65		 Phase-contrast imaging is useful technique in observing the refractive index structure of biological tissue cells. We pr... [more] MBE2013-65
pp.31-33
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