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Compressed fluorescence lifetime imaging via combined TV-based and deep priors
Ji, Chao1,2; Wang, Xing1,2; He, Kai1; Xue, Yanhua1; Li, Yahui1; Xin, Liwei1; Zhao, Wei1,2,3; Tian, Jinshou1,2; Sheng, Liang1,4
作者部门条纹相机工程中心
2022-08-12
发表期刊PLOS ONE
ISSN1932-6203
卷号17期号:8
产权排序1
摘要

Compressed fluorescence lifetime imaging (Compressed-FLIM) is a novel Snapshot compressive imaging (SCI) method for single-shot widefield FLIM. This approach has the advantages of high temporal resolution and deep frame sequences, allowing for the analysis of FLIM signals that follow complex decay models. However, the precision of CompressedFLIM is limited by reconstruction algorithms. To improve the reconstruction accuracy of Compressed-FLIM in dealing with large-scale FLIM problem, we developed a more effective combined prior model 3DTGp V_net, based on the Plug and Play (PnP) framework. Extensive numerical simulations indicate the proposed method eliminates reconstruction artifacts caused by the Deep denoiser networks. Moreover, it improves the reconstructed accuracy by around 4dB (peak signal-to-noise ratio; PSNR) over the state-of-the-art TV+FFDNet in test data sets. We conducted the single-shot FLIM experiment with different Rhodamine reagents and the results show that in practice, the proposed algorithm has promising reconstruction performance and more negligible lifetime bias.

DOI10.1371/journal.pone.0271441
收录类别SCI
语种英语
WOS记录号WOS:000907543900001
出版者PUBLIC LIBRARY SCIENCE
引用统计
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/96304
专题条纹相机工程中心
通讯作者Tian, Jinshou; Sheng, Liang
作者单位1.Chinese Acad Sci, Xian Inst Opt & Precis Mech XIOPM, Key Lab Ultra Fast Photoelect Diagnost Technol, Xian, Shaanxi, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian, Shaanxi, Peoples R China
4.Northwest Inst Nucl Technol, Xian, Peoples R China
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Ji, Chao,Wang, Xing,He, Kai,et al. Compressed fluorescence lifetime imaging via combined TV-based and deep priors[J]. PLOS ONE,2022,17(8).
APA Ji, Chao.,Wang, Xing.,He, Kai.,Xue, Yanhua.,Li, Yahui.,...&Sheng, Liang.(2022).Compressed fluorescence lifetime imaging via combined TV-based and deep priors.PLOS ONE,17(8).
MLA Ji, Chao,et al."Compressed fluorescence lifetime imaging via combined TV-based and deep priors".PLOS ONE 17.8(2022).
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