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Related Experiment Videos

A PC-at based video device for flow cytometrically triggered cell imaging in flow.

R Hüller1, W Päffgen, E Glossner

  • 1Max-Planck-Institut für Biochemie, Martinsried, Germany.

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society
|March 1, 1991
PubMed
Summary

A new personal computer system captures real-time images of cells in flow cytometry. This imaging system uses pulsed light emitting diodes (LEDs) and a novel method to freeze cell movement for clear image acquisition.

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Area of Science:

  • Biomedical Engineering
  • Cell Biology
  • Imaging Technology

Background:

  • Flow cytometry is a crucial technique for analyzing cells.
  • Real-time imaging during flow analysis can provide valuable morphological data.
  • Existing methods may face challenges in capturing transient events or asynchronous signals.

Purpose of the Study:

  • To describe a personal computer-based system for imaging in flow.
  • To present a novel method for capturing video images asynchronous with the video frame.
  • To demonstrate the system's capability in acquiring images of cells and particles during flow analysis.

Main Methods:

  • A personal computer-based system was developed to acquire cell images directly from a flow cytometer transducer.
  • Imaging was triggered by flow system pulses, with cell movement frozen using ultra-short flashes from pulsed light emitting diodes (LEDs).

Related Experiment Videos

  • A novel method was implemented for capturing video images asynchronous with the video frame, with images transferred to a PC add-in board and stored on disk.

    • Main Results:

    • The system successfully captures cell images directly from the flow cytometer.
    • Pulsed LEDs effectively freeze cell movement for clear imaging.
    • The novel asynchronous image capture method addresses challenges in video frame synchronization.
    • Images of various cells and particles analyzed during flow are presented.

    Conclusions:

    • The described system offers a practical approach for integrating imaging into flow cytometry.
    • The developed method enhances the ability to capture dynamic cellular events in flow.
    • This technology has potential applications in detailed cell analysis and characterization.