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 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.

[1]  Valerie L. Ng,et al.  Practical Flow Cytometry, 4th Edition , 2004 .

[2]  Mark A. Naivar,et al.  Single particle high resolution spectral analysis flow cytometry , 2006, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[3]  Christopher Snow,et al.  Flow cytometer electronics , 2004, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[4]  Harald B Steen,et al.  Dye exclusion artifact in flow cytometers. , 2002, Cytometry.

[5]  L A Sklar,et al.  High throughput flow cytometry. , 2001, Cytometry.

[6]  N A Zilmer,et al.  Flow cytometric analysis using digital signal processing. , 1995, Cytometry.

[7]  L L Wheeless,et al.  System for acquisition and real-time processing of multidimensional slit-scan flow cytometric data. , 1990, Cytometry.

[8]  M Godavarti,et al.  Automated particle classification based on digital acquisition and analysis of flow cytometric pulse waveforms. , 1996, Cytometry.

[9]  R. Hoffman,et al.  Resolution of dimly fluorescent particles: a practical measure of fluorescence sensitivity. , 1998, Cytometry.

[10]  J C Wood,et al.  Fundamental flow cytometer properties governing sensitivity and resolution. , 1998, Cytometry.

[11]  J A Steinkamp,et al.  Resolution of fluorescence signals from cells labeled with fluorochromes having different lifetimes by phase-sensitive flow cytometry. , 1993, Cytometry.

[12]  Robert C Habbersett,et al.  An analytical system based on a compact flow cytometer for DNA fragment sizing and single‐molecule detection , 2004, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[13]  Bo Xia,et al.  Performance analysis of a dual‐buffer architecture for digital flow cytometry , 2005, Cytometry. Part A : the journal of the International Society for Analytical Cytology.

[14]  H. Shapiro Practical Flow Cytometry: Shapiro/Flow Cytometry 4e , 2005 .

[15]  G. Dubelaar,et al.  CytoBuoy: a step forward towards using flow cytometry in operational oceanography* , 2000 .

[16]  J. Lakowicz,et al.  Phase-resolved fluorescence lifetime measurements for flow cytometry. , 1993, Cytometry.

[17]  L A Sklar,et al.  A rapid mix flow cytometer with subsecond kinetic resolution. , 1995, Cytometry.