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Compressed Blind Deconvolution and Denoising for Complementary Beam Subtraction Light-Sheet Fluorescence Microscopy
Bai, Chen; Liu, Chao; Jia, Hao; Peng, Tong; Min, Junwei; Lei, Ming; Yu, Xianghua; Yao, Baoli
Department瞬态光学技术国家重点实验室
2019-10
Source PublicationIEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
ISSN0018-9294;1558-2531
Volume66Issue:10Pages:2979-2989
Contribution Rank1
Abstract

Objective: The side-lobes of a Bessel beam (BB) create a severe out-of-focus background in scanning light-sheet fluorescence microscopy, thereby extremely limiting the axial resolution. The complementary beam subtraction (CBS) method can significantly reduce the out-of-focus background by double scanning a BB and its complementary beam. However, the blurring and noise caused by the system instability during the double scanning and subtraction operations degrade the image quality significantly. Therefore, we propose a compressed blind deconvolution and denoising (CBDD) method that solves this problem. Methods: We use a unified formulation that comprehensively takes advantage of multiple compressed sensing reconstructions and blind sparse representation. Results: The simulations and experiments were performed using the microbeads and model organisms to verify the effectiveness of the proposed method. Compared with the CBS light-sheet method, the proposed CBDD algorithm achieved the gain improvement in the axial and lateral resolution of about 1.81 and 2.22 times, respectively, while the average signal-to-noise ratio (SNR) was increased by about 3 dB. Conclusion: Accordingly, the proposed method can suppress the noise level, enhance the SNR, and recover the degraded resolution simultaneously. Significance: The obtained results demonstrate the proposed CBDD algorithm is well suited to improve the imaging performance of the CBS light-sheet fluorescence microscopy.

KeywordLight-sheet fluorescence microscopy blind image deconvolution denoising compressed sensing
DOI10.1109/TBME.2019.2899583
Indexed BySCI
Language英语
WOS IDWOS:000487192000030
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/31879
Collection瞬态光学技术国家重点实验室
AffiliationChinese Acad Sci, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China
Recommended Citation
GB/T 7714
Bai, Chen,Liu, Chao,Jia, Hao,et al. Compressed Blind Deconvolution and Denoising for Complementary Beam Subtraction Light-Sheet Fluorescence Microscopy[J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,2019,66(10):2979-2989.
APA Bai, Chen.,Liu, Chao.,Jia, Hao.,Peng, Tong.,Min, Junwei.,...&Yao, Baoli.(2019).Compressed Blind Deconvolution and Denoising for Complementary Beam Subtraction Light-Sheet Fluorescence Microscopy.IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,66(10),2979-2989.
MLA Bai, Chen,et al."Compressed Blind Deconvolution and Denoising for Complementary Beam Subtraction Light-Sheet Fluorescence Microscopy".IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING 66.10(2019):2979-2989.
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