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

abstract

  • 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.

name of conference

  • Frontiers in Optics + Laser Science 2022 (FIO, LS)

published proceedings

  • Frontiers in Optics + Laser Science 2022 (FIO, LS)

author list (cited authors)

  • Li, Y., Liu, T., Koydemir, H. C., Wang, H., ORiordan, K., Bai, B., ... Ozcan, A.

citation count

  • 0

complete list of authors

  • Li, Yuzhu||Liu, Tairan||Koydemir, Hatice Ceylan||Wang, Hongda||O‚ÄôRiordan, Keelan||Bai, Bijie||Haga, Yuta||Kobashi, Junji||Tanaka, Hitoshi||Tamaru, Takaya||Yamaguchi, Kazunori||Ozcan, Aydogan

publication date

  • January 2022