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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.
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Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM

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Published on: June 28, 2017

在高通量连续流的最新进展和应用.

Jiaping Yu¹, Jiaying Liu², Chaoyi Li¹

¹School of Science, Harbin Institute of Technology (Shenzhen), Shenzhen, 518055, China. youhengzhi@hit.edu.cn.

Chemical communications (Cambridge, England)

|March 4, 2024

概括

高通量连续流技术通过自动化和人工智能加速化学合成和药物发现. 这种多功能系统可实现快速优化和自动化扩展,影响多个科学学科.

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科学领域:

化学合成化学合成
药物发现药物发现药物发现
过程分析技术过程分析技术

背景情况:

连续流技术在化学合成中提供了更高的效率和速度.
过程分析技术 (PAT) 和自动化是先进合成的关键推动因素.
人工智能 (AI) 越来越多地被整合到化学研究中,用于复杂的任务.

研究的目的:

突出高通量连续流技术的最新发展和应用.
强调系统在快速优化和自动化扩展方面的能力.
展示人工智能的集成,用于药物分子的自我规划和自我合成.

主要方法:

使用高通量连续流反应堆.
实现实时监控和控制的过程分析技术 (PAT).
集成自动化和人工智能用于实验设计和执行.
将该系统应用于电化学和光化学.

主要成果:

证明了反应条件的快速优化,从毫米摩尔到皮克摩尔尺度.
实现了自动化扩展合成.
使用人工智能实现了小型药物分子的自我规划和自我合成.
展示了与电化学和光化学的兼容性.

结论:

高通量连续流技术显著推进化学合成和药物发现.
PAT,自动化和AI的整合提供了前所未有的效率和多功能性.
这项技术具有广泛的应用,并在多个科学领域产生重大影响.