Label-free cell detection of acute leukemia using ghost cytometry

IF 2.5 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS
Yoko Kawamura, Kayoko Nakanishi, Yuri Murata, Kazuki Teranishi, Ryusuke Miyazaki, Keisuke Toda, Toru Imai, Yasuhiro Kajiwara, Keiji Nakagawa, Hidemasa Matsuo, Souichi Adachi, Sadao Ota, Hidefumi Hiramatsu
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Abstract

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.

Abstract Image

利用幽灵细胞计数法对急性白血病进行无标记细胞检测
早期诊断和及时开始适当的治疗对改善急性白血病的预后至关重要。急性白血病的诊断方法是对骨髓涂片进行显微镜形态学检查,以及对荧光团结合抗体染色的骨髓细胞进行流式细胞免疫分型。然而,这些诊断过程需要训练有素的专业人员,耗费大量时间和资源。在这里,我们提出了一种新颖的诊断方法,即使用鬼影细胞术(一种最近开发的高含量流式细胞术方法),利用细胞的详细形态信息,对细胞进行基于机器视觉的无染色高速分析。我们证明,鬼影细胞术可以从被诊断为急性淋巴细胞白血病(ALL)和急性髓细胞白血病(AML)患者的骨髓细胞中检测出白血病细胞,而无需依赖生物染色。在临床实践中,本文介绍的方法有望成为一种精确、简单、快速且经济有效的急性白血病诊断方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Cytometry Part A
Cytometry Part A 生物-生化研究方法
CiteScore
8.10
自引率
13.50%
发文量
183
审稿时长
4-8 weeks
期刊介绍: Cytometry Part A, the journal of quantitative single-cell analysis, features original research reports and reviews of innovative scientific studies employing quantitative single-cell measurement, separation, manipulation, and modeling techniques, as well as original articles on mechanisms of molecular and cellular functions obtained by cytometry techniques. The journal welcomes submissions from multiple research fields that fully embrace the study of the cytome: Biomedical Instrumentation Engineering Biophotonics Bioinformatics Cell Biology Computational Biology Data Science Immunology Parasitology Microbiology Neuroscience Cancer Stem Cells Tissue Regeneration.
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