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ICoRD: iterative correlation-based ROI detection method for the extraction of neural signals in calcium imaging

Title
ICoRD: iterative correlation-based ROI detection method for the extraction of neural signals in calcium imaging
Author(s)
Kang, SeongtakPark, JihoKim, KyungsooLim, Sung-HoKim, SamhwanChoi, Joon HoRah, Jong-CheolChoi, Ji-Woong
Issued Date
ACCEPT
Citation
Journal of Neural Engineering, v.19, no.4
Type
Article
Author Keywords
signal-to-noise power ratioregion of interestcalcium imagingdenoising
Keywords
INDICATORS
ISSN
1741-2560
Abstract
Objective. In vivo calcium imaging is a standard neuroimaging technique that allows selective observation of target neuronal activities. In calcium imaging, neuron activation signals provide key information for the investigation of neural circuits. For efficient extraction of the calcium signals of neurons, selective detection of the region of interest (ROI) pixels corresponding to the active subcellular region of the target neuron is essential. However, current ROI detection methods for calcium imaging data exhibit a relatively low signal extraction performance from neurons with a low signal-to-noise power ratio (SNR). This is problematic because a low SNR is unavoidable in many biological experiments. Approach. Therefore, we propose an iterative correlation-based ROI detection (ICoRD) method that robustly extracts the calcium signal of the target neuron from a calcium imaging series with severe noise. Main results. ICoRD extracts calcium signals closer to the ground-truth calcium signal than the conventional method from simulated calcium imaging data in all low SNR ranges. Additionally, this study confirmed that ICoRD robustly extracts activation signals against noise, even within in vivo environments. Significance. ICoRD showed reliable detection from neurons with a low SNR and sparse activation, which were not detected by conventional methods. ICoRD will facilitate our understanding of neural circuit activity by providing significantly improved ROI detection in noisy images.
URI
http://hdl.handle.net/20.500.11750/17088
DOI
10.1088/1741-2552/ac84aa
Publisher
Institute of Physics Publishing
Related Researcher
  • 최지웅 Choi, Ji-Woong
  • Research Interests Communication System; Signal Processing; Communication Circuit Design; 생체 신호 통신 및 신호 처리; 뇌-기계 인터페이스(BMI); 차세대 교차계층 통신 및 신호 처리; 5G 모바일 통신
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Department of Electrical Engineering and Computer Science CSP(Communication and Signal Processing) Lab 1. Journal Articles

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