Paper Info
Title
CANSEE - Customized Accelerator for Neural Signal Enhancement and Extraction from the Calcium Image in Real Time.
Abstract
Miniaturized fluorescent calcium imaging miniscope has become a prominent technique in monitoring the activity of a large population of neurons in vivo. However, existing calcium image processing algorithms are developed for off-line analysis, and their implementations on general-purpose processors are difficult to meet the real-time processing requirement under constrained energy budget for closed-loop applications. In this paper, we propose the CANSEE, a customized accelerator for neural signal enhancement and extraction from calcium image in real time. The accelerator can perform the motion correction, the calcium image enhancement, and the fluorescence tracing from up to 512 cells with less than 1-ms processing latency. We also designed the hardware that can detect new cells based on the long short-term memory (LSTM) inference. We implemented the accelerator on a Xilinx Ultra96 FPGA. The implementation achieves 15.8x speedup and over 2 orders of magnitude improvement in energy efficiency compared to the evaluation on the multi-core CPU.
Year
DOI
Venue
2020
10.1145/3373087.3375358
FPGA
Field
DocType
ISBN
Calcium,Computer science,Signal enhancement,Real-time computing,Computer hardware
Conference
978-1-4503-7099-8
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Zhe Chen121.12
Garrett Blair200.34
Hugh T. Blair3226.43
Jason Cong47069515.06