https://scholars.lib.ntu.edu.tw/handle/123456789/430862
標題: | Counting bacterial colony on agar plates using deep convolutional neural network | 作者: | Chen, Szu Yu YAN-FU KUO Lin, Hong Ye Hong-Ye Lin Szu-Yu Chen Chia-Lin Chung CHIA-LIN CHUNG |
關鍵字: | Agar plate | Bacterial colony | Colony counting | Convolutional neural network | Deep learning | 公開日期: | 1-一月-2019 | 來源出版物: | 2019 ASABE Annual International Meeting | 摘要: | © 2019 ASABE Annual International Meeting. All rights reserved. Culturing bacteria on agar plate is a common approach used for isolating bacterial colonies. The results of culturing is assessed by the number, size, and shape of the colonies on the agar plates. Conventionally, the assessing is performed by operators. Manual identification and counting of the colonies are time consuming. Also, misidentification occurs due to human fatigue. This study aimed to automatically count bacterial colonies on agar plates using deep learning. In the procedure, a convolutional neural network (CNN) model was trained to identify and count the colonies in the images of agar plates. Once developed, the CNN model was hosted as a cloud service. Hence, the counting of bacterial colonies can be achieved using mobile devices. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/430862 | DOI: | 10.13031/aim.201900485 |
顯示於: | 生物機電工程學系 |
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