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Related Concept Videos

Flow Cytometry01:23

Flow Cytometry

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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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Combining Fluidic Devices with Microscopy and Flow Cytometry to Study Microbial Transport in Porous Media Across Spatial Scales
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A flow cytometry-based submicron-sized bacterial detection system using a movable virtual wall.

Hyoungseon Choi1, Chang Su Jeon, Inseong Hwang

  • 1Interdisciplinary Program in Bioengineering, Seoul National University, 28 Yongon-dong, Chongno-gu, Seoul, Korea.

Lab on a Chip
|May 16, 2014
PubMed
Summary
This summary is machine-generated.

This study introduces a novel flow cytometry system for detecting submicron bacteria using a virtual liquid wall. This adaptable method allows for precise control of channel dimensions, enabling sensitive detection of pathogens like Francisella tularensis.

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Area of Science:

  • Microfluidics
  • Biosensing
  • Pathogen Detection

Background:

  • Accurate detection of pathogenic bacteria is crucial for public health.
  • Existing microfluidic impedance sensors face challenges in fabricating narrow channels for submicron bacteria.
  • Varied bacterial sizes necessitate adaptable detection systems.

Purpose of the Study:

  • To develop a flow cytometry-based system for detecting submicron-sized pathogenic bacteria.
  • To demonstrate the ability to adjust microfluidic channel dimensions using a virtual liquid wall.
  • To simultaneously monitor impedance and fluorescence for bacterial discrimination.

Main Methods:

  • Utilized a flow cytometry setup with a movable virtual wall composed of a non-conducting fluid.
  • Adjusted microfluidic channel dimensions by varying flow rates of sample and virtual wall fluids.
  • Detected submicron-sized Francisella tularensis and discriminated bacterial mixtures (F. tularensis and E. coli BL21) using DC impedance and fluorescence.

Main Results:

  • Successfully controlled microfluidic channel width using a virtual liquid wall.
  • Achieved sensitive detection of submicron-sized Francisella tularensis.
  • Demonstrated simultaneous impedance and fluorescence monitoring for differentiating bacterial mixtures based on size.

Conclusions:

  • The proposed flow cytometry system offers a promising approach for detecting submicron-sized pathogenic microbes.
  • The virtual liquid wall technology provides an adaptable and cost-effective solution for microfluidic bacterial sensing.
  • This system enhances capabilities for identifying and discriminating various bacterial species.