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Related Concept Videos

Flow Cytometry01:23

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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Updated: May 17, 2026

Multicolor Fluorescence Detection for Droplet Microfluidics Using Optical Fibers
10:21

Multicolor Fluorescence Detection for Droplet Microfluidics Using Optical Fibers

Published on: May 5, 2016

Time encoded multicolor fluorescence detection in a microfluidic flow cytometer.

Joerg Martini1, Michael I Recht, Malte Huck

  • 1Palo Alto Research Center, 3333 Coyote Hill Rd., Palo Alto, CA 94304, USA. joerg.martini@parc.com

Lab on a Chip
|October 10, 2012
PubMed
Summary
This summary is machine-generated.

A novel optical detection method, spatially modulated detection, enables high-performance, low-cost flow cytometry. This technique accurately identifies and characterizes particles by analyzing fluorescence signals, even in the presence of background noise.

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Last Updated: May 17, 2026

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Fluorescence detection methods for microfluidic droplet platforms
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Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy (ATOM)
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Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy (ATOM)

Published on: June 28, 2017

Area of Science:

  • Biophotonics
  • Optical Engineering
  • Analytical Chemistry

Background:

  • Flow cytometry is a crucial technique for cell analysis.
  • Existing methods face challenges with signal-to-noise ratio and cost.
  • Need for robust, compact, and affordable multi-parameter flow cytometers.

Purpose of the Study:

  • Introduce a new optical detection technique for flow cytometry.
  • Achieve high signal-to-noise discrimination for accurate particle characterization.
  • Develop a low-cost, robust, and compact multi-parameter flow cytometer.

Main Methods:

  • Spatially modulated detection generates time-dependent signals from particle fluorescence.
  • Correlation analysis of signals with transmission patterns enhances discrimination.
  • Utilizes a large excitation/emission volume with a patterned mask for high spatial resolution.
  • Single detector used for multicolor detection via a patterned color mask.

Main Results:

  • Achieved high discrimination of particle signals from background noise.
  • Successfully deduced particle speed and fluorescence emission characteristics.
  • Demonstrated multicolor detection and differentiation of micro-beads (PE and PE-Cy5).
  • Method shows intrinsic tolerance to background fluorescence.

Conclusions:

  • Spatially modulated detection offers a high-performance, low-cost solution for flow cytometry.
  • The technique enables robust, compact, and multi-parameter analysis.
  • Potential for broad applications in biological and chemical analysis.