Basic Information

Abstract Number: 580 - 4
Author Name: R Mark Wightman - University of North Carolina at Chapel Hill
Session Title: SEAC - Charles N Reilley and Young Investigators Awards
Event Type: Awards
Event Title: Advances in Fast-Scan Cyclic Voltammetry for Detection of Neurotransmitters

Presider Name:Henry White
Affiliation:University of Utah

Date: Monday, March 18, 2013
Start Time: 02:45 PM (Slot #4)
Location: 114

Abstract Content

Fast-scan cyclic voltammetry has proved to be a useful tool for real-time measurement of the dynamics of easily oxidized neurotransmitters. The maturation of FSCV technique has led users to pose increasingly complex questions that require more sophisticated procedures. To accommodate advances in fast-scan cyclic voltammetry, our lab has developed HDCV, an open-source FSCV software suite. Here the utility of the new features provided in HDCV are described and demonstrated.

The HDCV data collection program delivers greater experimental flexibility and better user feedback – all with simplified hardware and file generation. Recent FSCV work has employed multi-electrodes that can spatially profile neurotransmitter release or detect multiple analytes. HDCV supports these array and multiple waveform experiments with 4 analog outputs and 16 analog inputs controlled through a single PCIe-6363 DAQ card (National Instruments, Austin, TX). When a waveform is applied, all analog and digital signals are visualized through HDCV’s live displays. Lastly, the HDCV file format extends current data storage capabilities so that hours of continuous data can be stored as a single file.

The companion analysis program streamlines data processing with faster filter application, easy snippet generation and the ability to save analysis settings without altering the original data. A major feature of HDCV Analysis is its ability to handle files collected over extended periods of time, from sub-second to multi-minutes. Furthermore, resolution of analytes with principle component analysis (PCA)can be performed entirely within HDCV. The program also offers new Cook’s distance and K-matrix displays for training set evaluation.

Development of HDCV was supported by an ARRA Supplement to Award Number R01DA10900 from NIDA. Executables are available for download on the UNC Chapel Hill Electronics Facility website. Source code written in Labview 2011 is available on request.