Title
In-vivo imaging of neural activity with dynamic vision sensors
Abstract
Optical recording of neural activity using calcium or voltage indicators requires cameras capable of detecting small temporal contrast in light intensity with sample rates of 10 Hz to 1 kHz. Large pixel scientific CMOS image sensors (sCMOS) are typically used due to their high resolution, high frame rate, and low noise. However, using such sensors for long-term recording is challenging due to their high data rates of up to 1 Gb/s. Here we studied the use of dynamic vision sensor (DVS) event cameras for neural recording. DVS have high dynamic range and a sparse asynchronous output consisting of brightness change events. Using DVS for neural recording could avoid transferring and storing redundant information. We compared the use of a Hamamatsu Orca V2 sCMOS with two advanced DVS sensors (a higher temporal contrast sensitivity 188×180 pixel SDAVIS and a 346×260 pixel higher light sensitivity back-side-illuminated BSIDAVIS) for neural activity recordings with fluorescent calcium indicators both in brain slices and awake mice. The DVS activity responds to the fast dynamics of neural activity, indicating that a sensor combining SDAVIS and BSIDAVIS technologies would be beneficial for long-term in-vivo neural recording using calcium indicators as well as potentially faster voltage indicators.
Year
DOI
Venue
2017
10.1109/BIOCAS.2017.8325076
2017 IEEE Biomedical Circuits and Systems Conference (BioCAS)
Keywords
Field
DocType
Neural imaging,high-speed imaging,fluorescence microscopy,calcium imaging,dynamic vision sensor (DVS),dynamic and active pixel vision sensor (DAVIS),event-based,spike-based,neuromorphic engineering,silicon retina
Computer vision,Image sensor,Computer science,Sampling (signal processing),CMOS,Pixel,Artificial intelligence,Frame rate,High dynamic range,Optical recording,Brightness
Conference
ISBN
Citations 
PageRank 
978-1-5090-5804-4
0
0.34
References 
Authors
0
11