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图像流细胞计:发展,当前应用,以及未来的挑战

Savvas Dimitriadis¹, Lefkothea Dova¹, Ioannis Kotsianidis²

¹Hematology Laboratory, Unit of Molecular Biology and Translational Flow Cytometry, University Hospital of Ioannina, 45100 Ioannina, Greece.

Methods and protocols

|April 26, 2024

概括

图像流细胞计 (ImFC) 融合了流量分析和显微镜,用于高通量细胞成像. 人工智能的进步对于分析其复杂数据至关重要,为未来的研究和临床应用铺平了道路.

科学领域:

生物技术是生物技术.
细胞生物学细胞生物学
分析化学分析化学

背景情况:

图像流动细胞计 (ImFC) 将流动细胞计的吞吐量与显微镜的成像细节相结合.
这项技术使细胞群的高通量形态分析成为可能.
它的发展代表了细胞计学的重大进化.

研究的目的:

为了提供对成像流细胞计 (ImFC) 发展的历史审查.
讨论ImFC当前的能力和未来的进步.
突出ImFC数据分析中的挑战和潜在解决方案.

主要方法:

关于ImFC发展的历史视角.
审查当前最先进的ImFC技术.
探索数据分析挑战和人工智能 (AI) 的作用.

主要成果:

ImFC将高通量细胞分析与详细的成像相结合.
软件和数据分析存在重大实施障碍.
人工智能 (AI) 在ImFC中显示为先进数据解释的前景.

结论:

ImFC是细胞形态学和高吞吐量分析的强大工具.
需要新的分析工具,特别是人工智能,来管理ImFC数据的复杂性.
在研究和临床诊断方面,ImFC即将成为必不可少的.

关键词:

人工智能的人工智能是人工智能.流动细胞计量是流动细胞计量的方法.图像流动细胞计量图像流动细胞计量现型分析现型分析现型分析

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Flow Cytometry

Flow Cytometry

The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
In...