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Artificial intelligence-based classification of peripheral blood nucleated cells using label-free imaging flow cytometry.
Hirotsu, Amane; Kikuchi, Hirotoshi; Yamada, Hidenao; Ozaki, Yusuke; Haneda, Ryoma; Kawata, Sanshiro; Murakami, Tomohiro; Matsumoto, Tomohiro; Hiramatsu, Yoshihiro; Kamiya, Kinji; Yamashita, Daisuke; Fujimori, Yuki; Ueda, Yukio; Okazaki, Shigetoshi; Kitagawa, Masatoshi; Konno, Hiroyuki; Takeuchi, Hiroya.
Afiliación
  • Hirotsu A; Department of Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu 431-3192, Japan. kikuchih@hama-med.ac.jp.
  • Kikuchi H; Department of Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu 431-3192, Japan. kikuchih@hama-med.ac.jp.
  • Yamada H; Central Research Laboratory, Hamamatsu Photonics K.K, Hamamatsu, Shizuoka, Japan.
  • Ozaki Y; Department of Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu 431-3192, Japan. kikuchih@hama-med.ac.jp.
  • Haneda R; Department of Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu 431-3192, Japan. kikuchih@hama-med.ac.jp.
  • Kawata S; Department of Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu 431-3192, Japan. kikuchih@hama-med.ac.jp.
  • Murakami T; Department of Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu 431-3192, Japan. kikuchih@hama-med.ac.jp.
  • Matsumoto T; Department of Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu 431-3192, Japan. kikuchih@hama-med.ac.jp.
  • Hiramatsu Y; Department Perioperative Functioning Care and Support, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu 431-3192, Japan.
  • Kamiya K; Department of Surgery, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu 431-3192, Japan. kikuchih@hama-med.ac.jp.
  • Yamashita D; Central Research Laboratory, Hamamatsu Photonics K.K, Hamamatsu, Shizuoka, Japan.
  • Fujimori Y; Central Research Laboratory, Hamamatsu Photonics K.K, Hamamatsu, Shizuoka, Japan.
  • Ueda Y; Central Research Laboratory, Hamamatsu Photonics K.K, Hamamatsu, Shizuoka, Japan.
  • Okazaki S; 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.
  • Kitagawa M; Department of Molecular Biology, Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu 431-3192, Japan.
  • Konno H; 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.
  • Takeuchi H; Hamamatsu University School of Medicine, 1-20-1 Handayama, Higashi-ku, Hamamatsu 431-3192, Japan.
Lab Chip ; 22(18): 3464-3474, 2022 09 13.
Article en En | MEDLINE | ID: mdl-35942978
Label-free image identification of circulating rare cells, such as circulating tumor cells within peripheral blood nucleated cells (PBNCs), the vast majority of which are white blood cells (WBCs), remains challenging. We previously described developing label-free image cytometry for classifying live cells using computer vision technology for pattern recognition, based on the subcellular structure of the quantitative phase microscopy images. We applied our image recognition methods to cells flowing in a flow cytometer microfluidic channel, and differentiated WBCs from cancer cell lines (area under receiver operating characteristic curve = 0.957). We then applied this method to healthy volunteers' and advanced cancer patients' blood samples and found that the non-WBC fraction rates (NWBC-FRs), defined as the percentage of cells classified as non-WBCs of the total PBNCs, were significantly higher in cancer patients than in healthy volunteers. Furthermore, we monitored NWBC-FRs over the therapeutic courses in cancer patients, which revealed the potential ability in monitoring the clinical status during therapy. Our image recognition system has the potential to provide a morphological diagnostic tool for circulating rare cells as non-WBC fractions.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Células Neoplásicas Circulantes Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Lab Chip Asunto de la revista: BIOTECNOLOGIA / QUIMICA Año: 2022 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Reino Unido
Texto completo
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PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligencia Artificial / Células Neoplásicas Circulantes Tipo de estudio: Prognostic_studies Límite: Humans Idioma: En Revista: Lab Chip Asunto de la revista: BIOTECNOLOGIA / QUIMICA Año: 2022 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Reino Unido