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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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Related Experiment Video

Updated: Jul 1, 2025

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

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

Published on: June 28, 2017

Recent advances and applications in high-throughput continuous flow.

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

Summary

This summary is machine-generated.

High-throughput continuous flow technology accelerates chemical synthesis and drug discovery through automation and artificial intelligence. This versatile system enables rapid optimization and automated scale-up, impacting multiple scientific disciplines.

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Area of Science:

Chemical Synthesis
Drug Discovery
Process Analytical Technology

Background:

Continuous flow technology offers enhanced efficiency and speed in chemical synthesis.
Process analytical technology (PAT) and automation are key enablers for advanced synthesis.
Artificial intelligence (AI) is increasingly integrated into chemical research for complex tasks.

Purpose of the Study:

To highlight recent developments and applications of high-throughput continuous flow technology.
To emphasize the system's capabilities in rapid optimization and automated scale-up.
To showcase the integration of AI for self-planning and self-synthesis of drug molecules.

Main Methods:

Utilizing high-throughput continuous flow reactors.
Implementing process analytical technology (PAT) for real-time monitoring and control.
Integrating automation and artificial intelligence for experimental design and execution.
Applying the system to electrochemistry and photochemistry.

Main Results:

Demonstrated rapid optimization of reaction conditions from millimole to picomole scales.
Achieved automated scale-up synthesis.
Enabled self-planning and self-synthesis of small drug molecules using AI.
Showcased compatibility with electrochemistry and photochemistry.

Conclusions:

High-throughput continuous flow technology significantly advances chemical synthesis and drug discovery.
The integration of PAT, automation, and AI offers unprecedented efficiency and versatility.
This technology has broad applications and a substantial impact across multiple scientific disciplines.