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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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In Vivo Assessment of Rodent Plasmodium Parasitemia and Merozoite Invasion by Flow Cytometry
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A microfabricated deformability-based flow cytometer with application to malaria.

Hansen Bow1, Igor V Pivkin, Monica Diez-Silva

  • 1Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Room 36-841, Cambridge, MA 02139, USA.

Lab on a Chip
|February 5, 2011
PubMed
Summary
This summary is machine-generated.

Researchers developed a new automated device to measure red blood cell (RBC) mechanical properties. This technology can identify malaria-infected cells within a population, aiding in disease research.

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Area of Science:

  • Biophysics
  • Cellular Mechanics
  • Parasitology

Background:

  • Malaria, caused by Plasmodium falciparum, significantly impacts global health and mortality.
  • Red blood cell (RBC) deformability is crucial in malaria pathogenesis.
  • Characterizing RBC mechanical properties is vital for understanding disease progression.

Purpose of the Study:

  • To introduce an automated microfluidic device for measuring RBC dynamic mechanical responses.
  • To correlate biochemical properties with mechanical deformability in individual RBCs.
  • To characterize malaria-infected RBCs within heterogeneous cell populations.

Main Methods:

  • Development of a microfluidic deformability cytometer for high-throughput analysis.
  • Simultaneous acquisition of fluorescence and mechanical deformation data for individual RBCs.
  • Application of dissipative particle dynamics (DPD) modeling to infer quantitative mechanical properties.

Main Results:

  • The device successfully measured mechanical responses of thousands of individual RBCs.
  • It enabled the mechanical characterization of Plasmodium falciparum-infected RBCs in mixed populations.
  • Quantitative mechanical properties of individual RBCs were inferred using DPD modeling.

Conclusions:

  • The automated deformability cytometer offers a systematic approach to high-throughput biomechanical cell characterization.
  • This technology is particularly valuable for studying heterogeneous cell populations, such as those in malaria.
  • The findings provide a new tool for investigating RBC mechanics in infectious diseases.