Early detection and classification of bacterial colonies using a Thin-Film-Transistor (TFT)-based image sensor and deep learning

Autor: Yuzhu Li, Tairan Liu, Hatice Ceylan Koydemir, Hongda Wang, Keelan O’Riordan, Bijie Bai, Yuta Haga, Junji Kobashi, Hitoshi Tanaka, Takaya Tamaru, Kazunori Yamaguchi, Aydogan Ozcan
Rok vydání: 2022
Zdroj: Frontiers in Optics + Laser Science 2022 (FIO, LS).
DOI: 10.1364/fio.2022.fw6e.2
Popis: We report a rapid, automated, portable and high-throughput bacterial colony detection and classification system using a thin-film-transistor array and deep learning, achieving >12 hours of time savings compared to US Environmental Protection Agency-approved culture-based methods.
Databáze: OpenAIRE