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Open, reconfigurable cytometric acquisition system: ORCAS

A digital signal processing (DSP)‐based digital data acquisition system has been developed to support novel flow cytometry efforts. The system flexibility includes how it detects, captures, and processes event data. Custom data capture boards utilizing analog to digital converters (ADCs) and field p...

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Bibliographic Details
Published in:Cytometry. Part A 2007-11, Vol.71A (11), p.915-924
Main Authors: Naivar, Mark A., Parson, Jimmie D., Wilder, Mark E., Habbersett, Robert C., Edwards, Bruce S., Sklar, Larry, Nolan, John P., Graves, Steven W., Martin, John C., Jett, James H., Freyer, James P.
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Language:English
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Summary:A digital signal processing (DSP)‐based digital data acquisition system has been developed to support novel flow cytometry efforts. The system flexibility includes how it detects, captures, and processes event data. Custom data capture boards utilizing analog to digital converters (ADCs) and field programmable gate arrays (FPGA) detect events and capture correlated event data. A commercial DSP board processes the captured data and sends the results over the IEEE 1394 bus to the host computer that provides a user interface for acquisition, display, analysis, and storage. The system collects list mode data, correlated pulse shapes, or streaming data from a variety of detector types using Linux, Mac OS X, and Windows host computers. It extracts pulse features not found on commercial systems with excellent sensitivity and linearity over a wide dynamic range. List mode data are saved in FCS 3.0 formatted files while streaming or correlated waveform data are saved in custom format files for postprocessing. Open, reconfigurable cytometric acquisition system is compact, scaleable, flexible, and modular. Programmable feature extraction algorithms have exciting possibilities for both new and existing applications. The recent availability of a commercial data capture board will enable general availability of similar systems. © Published 2007 Wiley‐Liss, Inc.
ISSN:1552-4922
1552-4930
DOI:10.1002/cyto.a.20445