Is AI essential? Examining the need for deep learning in image-activated sorting of <i>Saccharomyces cerevisiae</i>-Reference-Cited by-同舟云学术

Is AI essential? Examining the need for deep learning in image-activated sorting of Saccharomyces cerevisiae

Published:2023 Issue:19 Volume:23 Page:4232-4244
ISSN:1473-0197
Container-title:Lab on a Chip
language:en
Short-container-title:Lab Chip

Author:

Hayashi Mika¹^ORCID,Ohnuki Shinsuke²^ORCID,Tsai Yating²,Kondo Naoko²,Zhou Yuqi¹,Zhang Hongqian¹,Ishii Natsumi Tiffany¹^ORCID,Ding Tianben¹^ORCID,Herbig Maik¹^ORCID,Isozaki Akihiro¹³^ORCID,Ohya Yoshikazu²⁴^ORCID,Goda Keisuke¹⁵⁶⁷^ORCID

Affiliation:

1. Department of Chemistry, Graduate School of Science, The University of Tokyo, Tokyo 113-0033, Japan

2. Department of Integrated Biosciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan

3. Department of Mechanical Engineering, College of Science and Engineering, Ritsumeikan University, Shiga 525-8577, Japan

4. Collaborative Research Institute for Innovative Microbiology, The University of Tokyo, Tokyo 113-8654, Japan

5. Department of Bioengineering, University of California, Los Angeles, California 90095, USA

6. Institute of Technological Sciences, Wuhan University, Wuhan 430072, China

7. CYBO, Tokyo 135-0064, Japan

Abstract

We experimentally justify the advantages of jumping on the deep learning trend for image-activated budding yeast sorting and validate its applicability towards morphology-based yeast mutant screening.

Funder

Japan Society for the Promotion of Science

Konica Minolta Imaging Science Foundation

Council for Science, Technology and Innovation

Institute for Fermentation, Osaka

Publisher

Royal Society of Chemistry (RSC)

Subject

Biomedical Engineering,General Chemistry,Biochemistry,Bioengineering

Link

http://pubs.rsc.org/en/content/articlepdf/2023/LC/D3LC00556A

Reference72 articles.