Abstract | ||
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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 |
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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 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gemma Taverni | 1 | 10 | 2.85 |
Diederik Paul Moeys | 2 | 21 | 3.88 |
Fabian F. Voigt | 3 | 1 | 1.02 |
Cheng-Han Li | 4 | 23 | 4.09 |
Celso Cavaco | 5 | 5 | 1.12 |
Vasyl Motsnyi | 6 | 6 | 1.46 |
Stewart Berry | 7 | 1 | 1.02 |
Pia Sipila | 8 | 0 | 0.68 |
david san segundo bello | 9 | 5 | 1.45 |
Fritjof Helmchen | 10 | 12 | 5.61 |
Tobi Delbrück | 11 | 876 | 82.59 |