1. A Collaborative Study on the Classification of Silicone Oil Droplets and Protein Particles Using Flow Imaging Method
- Author
-
Hiroko Shibata, Masahiro Terabe, Yuriko Shibano, Satoshi Saitoh, Tomohiro Takasugi, Yu Hayashi, Shinji Okabe, Yuka Yamaguchi, Hidehito Yasukawa, Hiroyuki Suetomo, Kazuhiro Miyanabe, Naomi Ohbayashi, Michiko Akimaru, Shuntaro Saito, Daisuke Ito, Atsushi Nakano, Shota Kojima, Yuya Miyahara, Kenji Sasaki, Takahiro Maruno, Masanori Noda, Masato Kiyoshi, Akira Harazono, Tetsuo Torisu, Susumu Uchiyama, and Akiko Ishii-Watabe
- Subjects
Silicones ,Pharmaceutical Science ,Proteins ,Silicone Oils ,Particle Size - Abstract
In this study, we conducted a collaborative study on the classification between silicone oil droplets and protein particles detected using the flow imaging (FI) method toward proposing a standardized classifier/model. We compared four approaches, including a classification filter composed of particle characteristic parameters, principal component analysis, decision tree, and convolutional neural network in the performance of the developed classifier/model. Finally, the points to be considered were summarized for measurement using the FI method, and for establishing the classifier/model using machine learning to differentiate silicone oil droplets and protein particles.
- Published
- 2022