Issue 19, 2023

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

Abstract

Artificial intelligence (AI) has become a focal point across a multitude of societal sectors, with science not being an exception. Particularly in the life sciences, imaging flow cytometry has increasingly integrated AI for automated management and categorization of extensive cell image data. However, the necessity of AI over traditional classification methods when extending imaging flow cytometry to include cell sorting remains uncertain, primarily due to the time constraints between image acquisition and sorting actuation. AI-enabled image-activated cell sorting (IACS) methods remain substantially limited, even as recent advancements in IACS have found success while largely relying on traditional feature gating strategies. Here we assess the necessity of AI for image classification in IACS by contrasting the performance of feature gating, classical machine learning (ML), and deep learning (DL) with convolutional neural networks (CNNs) in the differentiation of Saccharomyces cerevisiae mutant images. We show that classical ML could only yield a 2.8-fold enhancement in target enrichment capability, albeit at the cost of a 13.7-fold increase in processing time. Conversely, a CNN could offer an 11.0-fold improvement in enrichment capability at an 11.5-fold increase in processing time. We further executed IACS on mixed mutant populations and quantified target strain enrichment via downstream DNA sequencing to substantiate the applicability of DL for the proposed study. Our findings validate the feasibility and value of employing DL in IACS for morphology-based genetic screening of S. cerevisiae, encouraging its incorporation in future advancements of similar technologies.

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

Supplementary files

Article information

Article type
Paper
Submitted
24 jun 2023
Accepted
20 aug 2023
First published
22 aug 2023

Lab Chip, 2023,23, 4232-4244

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

M. Hayashi, S. Ohnuki, Y. Tsai, N. Kondo, Y. Zhou, H. Zhang, N. T. Ishii, T. Ding, M. Herbig, A. Isozaki, Y. Ohya and K. Goda, Lab Chip, 2023, 23, 4232 DOI: 10.1039/D3LC00556A

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements