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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
作者部门瞬态光学研究室
2019-10
发表期刊IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
ISSN0018-9294;1558-2531
卷号66期号:10页码:2979-2989
产权排序1
摘要

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.

关键词Light-sheet fluorescence microscopy blind image deconvolution denoising compressed sensing
DOI10.1109/TBME.2019.2899583
收录类别SCI ; EI
语种英语
WOS记录号WOS:000487192000030
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
EI入藏号20200207984400
引用统计
被引频次:8[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/31879
专题瞬态光学研究室
作者单位Chinese Acad Sci, State Key Lab Transient Opt & Photon, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China
推荐引用方式
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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