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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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Assessment of GFP Expression and Viability Using the Tali Image-Based Cytometer
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CellTracks TDI: an image cytometer for cell characterization.

Tycho M Scholtens1, Frederik Schreuder, Sjoerd T Ligthart

  • 1Faculty of Science and Technology, MIRA Research Institute, Department of Medical Cell BioPhysics, University of Twente, Drienerlolaan 5, Enschede, The Netherlands.

Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|February 22, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a novel image cytometer for sensitive, high-resolution detection and characterization of rare cells, like circulating tumor cells (CTCs), in routine blood analysis. The system enables detailed morphological and fluorescence analysis for improved rare cell identification.

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Area of Science:

  • Biomedical Engineering
  • Cell Biology
  • Medical Imaging

Background:

  • Rare cell detection, such as circulating tumor cells (CTCs), requires sensitive quantification of multiple parameters and morphological features.
  • Routine identification of CTCs in patient blood necessitates efficient and high-sensitivity analytical methods.

Purpose of the Study:

  • To design and characterize a novel image cytometer for fast, sensitive, and routine analysis of rare cells, specifically CTCs.
  • To enable detailed morphological and quantitative fluorescence analysis of individual rare cells with high resolution.

Main Methods:

  • Development of an image cytometer with 375, 491, and 639 nm laser lines, a 40×/0.6NA objective, and a CCD camera in TDI mode.
  • Implementation of servo stages, a piëzo objective positioner, and ImageJ for image analysis, alongside a rotating diffuser and micro-lens arrays for homogeneous illumination.
  • Utilized feed-forward automatic focusing with 3D spline fitting and synchronized TDI CCD acquisition with servo stage movement for continuous signal acquisition.

Main Results:

  • Achieved a fluorescence sensitivity limit of 120 PE molecules on a 6.8 μm bead at a scanning speed of 1.0 mm s⁻¹.
  • Obtained a system resolution of 0.76 μm in the TDI scan direction at 580 nm.
  • Demonstrated the ability to relocate events of interest for further detailed analysis, combining quantitative fluorescence and morphological features.

Conclusions:

  • The designed image cytometer provides high sensitivity, high resolution, and minimal overhead time for routine rare cell identification and characterization.
  • The system facilitates the identification of individual cells by analyzing quantitative fluorescence and morphological features, enabling detailed examination of rare events.
  • This technology is suitable for the routine identification and characterization of rare cells in biological samples, particularly for CTC analysis in oncology.