Ms. Yating Tsai Profile

Yating Tsai

at Univ of Tokyo

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 12 March 2024 Presentation + Paper

Necessary or extravagant? Investigating the worth of artificial intelligence in image-activated sorting of Saccharomyces cerevisiae

Mika Hayashi, Shinsuke Ohnuki, Yating Tsai, Tianben Ding, Akihiro Isozaki, Yoshikazu Ohya, Keisuke Goda

Proceedings Volume 12853, 1285309 (2024) https://doi.org/10.1117/12.2692267

KEYWORDS: Image classification, Yeast, Image processing, Artificial intelligence, Classification systems, Imaging systems, Image analysis, Biological samples, Biological imaging

Read Abstract +

The popularity of artificial intelligence (AI) and its applications has been steadily growing across various disciplines, including the field of science. In life sciences, AI has been increasingly applied for imaging flow cytometry towards automated management and classification of biological cell image data. However, when considering imaging flow cytometry for cell sorting, the need for employing AI over more facile, traditional image analysis methods are not as pronounced. This is primarily due to the time restrictions between image acquisition and sorting actuation that inevitably come with cell sorting. AI-enabled image-activated cell sorting (IACS) methods remain limited, and recent advancements in IACS still find success while relying on traditional feature gating strategies. Here, we compare the performance of feature gating, classical machine learning (ML), and deep learning (DL) in the differentiation of Saccharomyces cerevisiae mutant images taken by our intelligent IACS system to assess the advantages of AI for image classification in IACS. We show that while both classical ML and DL impart an increase in enrichment capability over feature gating, employing classical ML resulted in a smaller improvement at a larger cost of longer processing time than DL. We further performed IACS on mixed mutant populations and quantified target enrichment via downstream DNA sequencing to confirm the applicability of DL for the proposed study. Our findings validate the benefit and practicability of employing DL in IACS for microscopy-based genetic screening of S. cerevisiae, encouraging its inclusion for future advancements in this field.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years