Artificial intelligence-based classification of peripheral blood nucleated cells using label-free imaging flow cytometry

Author:

Hirotsu Amane1,Kikuchi Hirotoshi1ORCID,Yamada Hidenao2ORCID,Ozaki Yusuke1,Haneda Ryoma1,Kawata Sanshiro1,Murakami Tomohiro1,Matsumoto Tomohiro1,Hiramatsu Yoshihiro3ORCID,Kamiya Kinji1,Yamashita Daisuke2,Fujimori Yuki2,Ueda Yukio2,Okazaki Shigetoshi4,Kitagawa Masatoshi56,Konno Hiroyuki7,Takeuchi Hiroya1

Affiliation:

1. Department of Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu 431-3192, Japan

2. Central Research Laboratory, Hamamatsu Photonics K.K, Hamamatsu, Shizuoka, Japan

3. Department Perioperative Functioning Care and Support, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu 431-3192, Japan

4. HAMAMATSU BioPhotonics Innovation Chair, Institute for Medical Photonics Research, Preeminent Medical Photonics Education and Research Centre, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu 431-3192, Japan

5. Department of Molecular Biology, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu 431-3192, Japan

6. Laboratory Animal Facilities and Services, Preeminent Medical Photonics Education and Research Centre, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu 431-3192, Japan

7. Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu 431-3192, Japan

Abstract

We developed a method for label-free image identification and classification of peripheral blood nucleated cells flowing in a microfluidic channel, based on the subcellular structures of quantitative phase microscopy images.

Funder

Japan Agency for Medical Research and Development

Japan Society for the Promotion of Science

Publisher

Royal Society of Chemistry (RSC)

Subject

Biomedical Engineering,General Chemistry,Biochemistry,Bioengineering

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