Literature DB >> 30946877

A Teensy microcontroller-based interface for optical imaging camera control during behavioral experiments.

Michael Romano1, Mark Bucklin1, Howard Gritton1, Dev Mehrotra1, Robb Kessel1, Xue Han2.   

Abstract

BACKGROUND: Systems neuroscience experiments often require the integration of precisely timed data acquisition and behavioral monitoring. While specialized commercial systems have been designed to meet various needs of data acquisition and device control, they often fail to offer flexibility to interface with new instruments and variable behavioral experimental designs. NEW
METHOD: We developed a Teensy 3.2 microcontroller-based interface that is easily programmable, and offers high-speed, precisely timed behavioral data acquisition and digital and analog outputs for controlling sCMOS cameras and other devices.
RESULTS: We demonstrate the flexibility and the temporal precision of the Teensy interface in two experimental settings. In one example, we used the Teensy interface to record an animal's directional movement on a spherical treadmill, while delivering repeated digital pulses that can be used to control image acquisition from a sCMOS camera. In another example, we used the Teensy interface to deliver an auditory stimulus and a gentle eye puff at precise times in a trace conditioning eye blink behavioral paradigm, while delivering repeated digital pulses to trigger camera image acquisition. COMPARISON WITH EXISTING
METHODS: This interface allows high-speed and temporally precise digital data acquisition and device control during diverse behavioral experiments.
CONCLUSION: The Teensy interface, consisting of a Teensy 3.2 and custom software functions, provides a temporally precise, low-cost, and flexible platform to integrate sCMOS camera control into behavioral experiments.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ADNS-9800 gaming sensor; Arduino; Microcontroller; Open-source; Spherical treadmill; Teensy; sCMOS camera

Year:  2019        PMID: 30946877      PMCID: PMC6510265          DOI: 10.1016/j.jneumeth.2019.03.019

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


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