AI-based Apoptosis Cell Classification Using Phase-contrast Images of K562 Cells.

Journal: Anticancer research
PMID: 38423642

Abstract

BACKGROUND/AIM: This study aimed to automate the classification of cells, particularly in identifying apoptosis, using artificial intelligence (AI) in conjunction with phase-contrast microscopy. The objective was to reduce reliance on manual observation, which is often time-consuming and subject to human error.

Authors

  • Yuki Kikuchi
    Bionics Program, Tokyo University of Technology Graduate School, Tokyo, Japan.
  • Yuki Okuhashi
    School of Health Sciences, Tokyo University of Technology, Tokyo, Japan.
  • Hiroaki Ishihata
    School of Computer Science, Tokyo University of Technology, 1401-1 Katakura-Machi, Hachioji, Tokyo 192-0982, Japan.
  • Misato Kashiba
    Department of Liberal Arts, Tokyo University of Technology, Tokyo, Japan.
  • Satoshi Sasaki
    School of Health Sciences, Tokyo University of Technology, Tokyo, Japan; sasaki@stf.teu.ac.jp.

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