Label-free cell detection of acute leukemia using ghost cytometry

被引:3
|
作者
Kawamura, Yoko [1 ]
Nakanishi, Kayoko [2 ]
Murata, Yuri [1 ]
Teranishi, Kazuki [1 ]
Miyazaki, Ryusuke [1 ]
Toda, Keisuke [1 ]
Imai, Toru [1 ]
Kajiwara, Yasuhiro [1 ]
Nakagawa, Keiji [1 ]
Matsuo, Hidemasa [2 ]
Adachi, Souichi [2 ]
Ota, Sadao [1 ,3 ]
Hiramatsu, Hidefumi [4 ]
机构
[1] ThinkCyte KK, Tokyo, Japan
[2] Kyoto Univ, Grad Sch Med, Dept Human Hlth Sci, Kyoto, Japan
[3] Univ Tokyo, Res Ctr Adv Sci & Technol, Tokyo, Japan
[4] Kyoto Univ, Grad Sch Med, Dept Pediat, Kyoto, Japan
关键词
acute leukemia; acute lymphocytic leukemia; acute myeloid leukemia; flow cytometry; ghost cytometry; imaging flow cytometry; machine learning; support vector machine; FLOW-CYTOMETRY; DIAGNOSIS; CLASSIFICATION;
D O I
10.1002/cyto.a.24821
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Early diagnosis and prompt initiation of appropriate treatment are critical for improving the prognosis of acute leukemia. Acute leukemia is diagnosed by microscopic morphological examination of bone marrow smears and flow cytometric immunophenotyping of bone marrow cells stained with fluorophore-conjugated antibodies. However, these diagnostic processes require trained professionals and are time and resource-intensive. Here, we present a novel diagnostic approach using ghost cytometry, a recently developed high-content flow cytometric approach, which enables machine vision-based, stain-free, high-speed analysis of cells, leveraging their detailed morphological information. We demonstrate that ghost cytometry can detect leukemic cells from the bone marrow cells of patients diagnosed with acute lymphoblastic leukemia and acute myeloid leukemia without relying on biological staining. The approach presented here holds promise as a precise, simple, swift, and cost-effective diagnostic method for acute leukemia in clinical practice.
引用
收藏
页码:196 / 202
页数:7
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