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Related Experiment Videos

Open, reconfigurable cytometric acquisition system: ORCAS.

Mark A Naivar1, Jimmie D Parson, Mark E Wilder

  • 1Bioscience Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545, USA. mnaivar@lanl.gov

Cytometry. Part a : the Journal of the International Society for Analytical Cytology
|August 8, 2007
PubMed
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A novel digital data acquisition system uses digital signal processing (DSP) to enhance flow cytometry. This flexible system captures and processes event data with high sensitivity and linearity, enabling advanced analysis.

Area of Science:

  • Biotechnology
  • Data Acquisition Systems
  • Signal Processing

Background:

  • Traditional flow cytometry systems have limitations in data capture and processing flexibility.
  • Novel applications require advanced data acquisition capabilities beyond commercial systems.

Purpose of the Study:

  • To develop a flexible, digital signal processing (DSP)-based digital data acquisition system for advanced flow cytometry.
  • To enable the capture and processing of diverse data types, including correlated pulse shapes and streaming data.

Main Methods:

  • Custom data capture boards with analog-to-digital converters (ADCs) and field-programmable gate arrays (FPGAs) were developed.
  • A commercial DSP board processed captured data, transmitting results to a host computer via IEEE 1394 bus.

Related Experiment Videos

  • The system supported Linux, Mac OS X, and Windows operating systems for data acquisition, display, analysis, and storage.
  • Main Results:

    • The system demonstrated excellent sensitivity and linearity in extracting pulse features over a wide dynamic range.
    • It successfully collected list mode data, correlated pulse shapes, and streaming data from various detector types.
    • List mode data were saved in FCS 3.0 format, while waveform data were stored in custom formats for postprocessing.

    Conclusions:

    • The developed open, reconfigurable cytometric acquisition system is compact, scalable, flexible, and modular.
    • Programmable feature extraction algorithms offer significant potential for new and existing flow cytometry applications.
    • The availability of commercial data capture boards will facilitate the broader adoption of similar systems.