成像流式细胞仪:发展、当前应用和未来挑战

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS
Savvas Dimitriadis, L. Dova, Ioannis Kotsianidis, E. Hatzimichael, Eleni Kapsali, G. Markopoulos
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引用次数: 0

摘要

成像流式细胞仪(ImFC)是细胞仪领域的一项重大技术进步,它有效地融合了流式分析的高通量能力和显微镜的详细成像特性。在我们的全面综述中,我们从历史的角度描绘了 ImFC 的发展历程,重点介绍了它的起源和当前的技术水平,并预测了未来可能取得的进展。ImFC 的起源源于将流式细胞仪的液压系统与先进的摄像技术相结合。这种协同耦合促进了高通量规模的细胞群形态分析,有效地改变了流式细胞仪的面貌。然而,ImFC 的实施也遇到了一些障碍,特别是在开发能够管理其复杂数据采集和分析需求的软件方面。ImFC 生成的数据规模大、复杂程度高,因此有必要开发新型分析工具,以有效管理和解释这些数据,从而让我们能够充分释放 ImFC 的潜力。值得注意的是,人工智能(AI)算法已开始应用于 ImFC,为增强其分析能力带来了希望。人工智能的适应性和学习能力可能会被证明对从 ImFC 生成的高维数据中进行知识挖掘至关重要,从而有可能实现更准确的分析。展望未来,我们预计 ImFC 不仅会成为研究实验室不可或缺的工具,也会成为临床环境不可或缺的工具。鉴于 ImFC 将高通量细胞测量和详细成像技术独特地结合在一起,我们预计这项技术将在下一代科学研究和诊断中发挥关键作用。因此,我们鼓励当前和未来的科学家们考虑将 ImFC 整合到他们的研究工具包和临床诊断常规中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Imaging Flow Cytometry: Development, Present Applications, and Future Challenges
Imaging flow cytometry (ImFC) represents a significant technological advancement in the field of cytometry, effectively merging the high-throughput capabilities of flow analysis with the detailed imaging characteristics of microscopy. In our comprehensive review, we adopt a historical perspective to chart the development of ImFC, highlighting its origins and current state of the art and forecasting potential future advancements. The genesis of ImFC stemmed from merging the hydraulic system of a flow cytometer with advanced camera technology. This synergistic coupling facilitates the morphological analysis of cell populations at a high-throughput scale, effectively evolving the landscape of cytometry. Nevertheless, ImFC’s implementation has encountered hurdles, particularly in developing software capable of managing its sophisticated data acquisition and analysis needs. The scale and complexity of the data generated by ImFC necessitate the creation of novel analytical tools that can effectively manage and interpret these data, thus allowing us to unlock the full potential of ImFC. Notably, artificial intelligence (AI) algorithms have begun to be applied to ImFC, offering promise for enhancing its analytical capabilities. The adaptability and learning capacity of AI may prove to be essential in knowledge mining from the high-dimensional data produced by ImFC, potentially enabling more accurate analyses. Looking forward, we project that ImFC may become an indispensable tool, not only in research laboratories, but also in clinical settings. Given the unique combination of high-throughput cytometry and detailed imaging offered by ImFC, we foresee a critical role for this technology in the next generation of scientific research and diagnostics. As such, we encourage both current and future scientists to consider the integration of ImFC as an addition to their research toolkit and clinical diagnostic routine.
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来源期刊
Methods and Protocols
Methods and Protocols Biochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (miscellaneous)
CiteScore
3.60
自引率
0.00%
发文量
85
审稿时长
8 weeks
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