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Flow Cytometry01:23

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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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An image cytometer based on angular spatial frequency processing and its validation for rapid detection and

J M Pérez1, M Jofre1, P Martínez1

  • 1ICFO-Institut de Ciencies Fotoniques, The Barcelona Institute of Science and Technology, 08860 Castelldefels, Barcelona, Spain. valerio.pruneri@icfo.es.

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Summary

A novel, compact image cytometer detects tiny waterborne microbes like E. coli using LED and CMOS technology. This water analysis tool achieves high sensitivity, even differentiating populations by size.

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Area of Science:

  • Microfluidics
  • Optical Engineering
  • Environmental Science

Background:

  • Accurate detection of waterborne microorganisms is crucial for public health and environmental monitoring.
  • Existing methods for detecting small particulates in water can be complex or lack sensitivity.
  • There is a need for accessible and sensitive tools for real-time water quality analysis.

Purpose of the Study:

  • To introduce a new, compact image cytometer for detecting very small particulates in water.
  • To demonstrate the device's capability in analyzing waterborne microorganisms.
  • To assess the sensitivity and resolution of the developed image cytometer.

Main Methods:

  • Design and construction of a compact microscope using off-the-shelf components (LED, CMOS sensor, specialized lenses).
  • Development of software for Fourier transform processing of the sample volume.
  • Detection of microorganisms (e.g., E. coli, L. pneumophila, phytoplankton) in fluorescent and label-free modes.
  • Utilizing a fluidic system for sample pre-concentration.

Main Results:

  • Achieved a detection sensitivity of 50 cells/ml, which improved to 0.2 cells/ml with pre-concentration.
  • Demonstrated the ability to differentiate microbiological populations by size with a 3 μm resolution.
  • Successfully operated the image cytometer in real contaminated water samples.
  • Validated detection of various waterborne microorganisms including Escherichia coli and Legionella pneumophila.

Conclusions:

  • The developed image cytometer is a sensitive and effective tool for water analysis.
  • The device's compact design and use of off-the-shelf components make it potentially accessible.
  • The technology shows promise for real-time monitoring of water quality and microbiological contamination.