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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: Mar 28, 2026

Wide-field Fluorescent Microscopy and Fluorescent Imaging Flow Cytometry on a Cell-phone

Wide-field Fluorescent Microscopy and Fluorescent Imaging Flow Cytometry on a Cell-phone

Published on: April 11, 2013

Handheld Fluorescence Microscopy based Flow Analyzer.

Manish Saxena^1,2, Nitin Jayakumar³, Sai Siva Gorthi⁴

¹Optics & Microfluidics Instrumentation Lab, Department of Instrumentation and Applied Physics, Indian Institute of Science, Bangalore, 560012, India. msaxena@sac.isro.gov.in.

Journal of Fluorescence

|December 31, 2015

Summary

This summary is machine-generated.

This study presents a high-throughput fluorescence microscopy imaging flow analyzer. Computational deblurring enhances image quality at high flow rates, enabling rapid analysis of biological samples.

Keywords:

Fluorescence imaging Microfluidics Microscopy Opto-fluidics

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Area of Science:

Biomedical Engineering
Optical Imaging
Microfluidics

Background:

Fluorescence microscopy is vital for biological research and clinical diagnostics due to its specificity and contrast.
Current fluorescence-based diagnostics are manual, labor-intensive, and time-consuming, limiting throughput.
High-throughput imaging is crucial for advancing clinical diagnostics and biological inquiry.

Purpose of the Study:

To develop a cost-effective, high-throughput alternative to conventional fluorescence imaging techniques.
To demonstrate a novel fluorescence microscopy-based imaging flow analyzer.
To address and overcome motion blur limitations in high-speed flow cytometry.

Main Methods:

System-level integration of custom-designed microfluidics and optics.
Development of a fluorescence microscopy-based imaging flow analyzer.
Application of computational deblurring algorithms to mitigate motion blur.
Optimization of sample concentration, flow speeds, and multi-channel imaging.

Main Results:

The imaging flow analyzer achieved imaging rates exceeding 2900 FITC-labeled fluorescent beads per minute.
Computational deblurring successfully restored morphological features affected by motion blur at high flow rates.
Optimized system parameters enabled a throughput of approximately 480 beads per second.

Conclusions:

The developed imaging flow analyzer offers a high-throughput, cost-effective solution for fluorescence-based analysis.
Computational deblurring is an effective strategy to maintain image quality and throughput in high-speed flow imaging.
This technology has the potential to significantly improve the efficiency of clinical diagnostics and biological research.