MRS Meetings and Events

 

SB05.15/SB06.14.02 2023 MRS Spring Meeting

Apoptosis Cell Classification Using Phase Contrast Images

When and Where

Apr 27, 2023
8:30am - 8:45am

SB05-virtual

Presenter

Co-Author(s)

Yuki Kikuchi1,Yuki Okuhashi1,Hiroaki Ishihata1,Misato Kashiba1,Satoshi Sasaki1

Tokyo Univ of Technology1

Abstract

Yuki Kikuchi1,Yuki Okuhashi1,Hiroaki Ishihata1,Misato Kashiba1,Satoshi Sasaki1

Tokyo Univ of Technology1
Materials that cause apoptosis of cancer cells should potentially be candidates for future anti-cancer drug. Apoptosis cell classification using AI will be an effective method to evaluate the effect. Characteristics of apoptosis cells are effectively identified from the fluorescence-stained images. The effectiveness will increase if the classification could be performed without stains.<br/>γ secretase inhibitor (GSI) is reported to cause apoptosis of K562, a human chronic myelogenous leukemia cell line. We found that AI-based classification results of phase-contrast images of the cells were quite similar to those of fluorescence images. Factors that AI identified, but naked eyes could not identify, were examined. Biochemical change inside cells were studied in connection with morphological characteristics.

Symposium Organizers

Gemma-Louise Davies, University College London
Anna Salvati, University of Groningen, Groningen Research Institute of Pharmacy
Sarah Stoll, Georgetown University
Xiaodi Su, Institute of Materials Research and Engineering, A*STAR

Symposium Support

Silver
Journal of Materials Chemistry B

Bronze
Matter, Cell Press

Publishing Alliance

MRS publishes with Springer Nature