OPT OpenIR  > 瞬态光学研究室
3D Imaging Restoration of Spinning-Disk Confocal Microscopy Via Deep Learning
Bai, Chen; Yu, Xianghua; Peng, Tong; Liu, Chao; Min, Junwei; Dan, Dan; Yao, Baoli
Department瞬态光学研究室
2020-09-15
Source PublicationIEEE Photonics Technology Letters
ISSN10411135;19410174
Volume32Issue:18Pages:1131-1134
Contribution Rank1
Abstract

Due to the multipoint excitation and simultaneous detection strategy applied, spinning-disk confocal microscopy (SDCM) results in an increased imaging speed compared to conventional confocal microscopy. Additionally, the super-resolution radial fluctuations (SRRF) approach can further improve the imaging resolution of SDCM in 3D imaging at the cost of imaging time due to the large amounts of data acquisition and the increased risk of photo-bleaching and photo-toxicity due to the multiple excitations. Here, we propose a deep learning-based method for 3D SDCM, where the neighboring pixels in $z$ -scanning slices are taken into account for 3D reconstruction. Consequently, high-quality imaging slices can be reconstructed directly from the SDCM stacks with a single scan. The image quality achievable with this SRRF-Deep method is comparable with the SRRF method, whereas it achieves image reconstruction about 30 times faster using 100 times fewer images. Thus, practicality of the SDCM system can be significantly improved in 3D imaging. © 1989-2012 IEEE.

KeywordConvolutional neural networks confocal microscopy super-resolution radial fluctuations
DOI10.1109/LPT.2020.3014317
Indexed BySCI ; EI
Language英语
WOS IDWOS:000595143900002
PublisherInstitute of Electrical and Electronics Engineers Inc.
EI Accession Number20203609137731
Citation statistics
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/93688
Collection瞬态光学研究室
AffiliationState Key Laboratory of Transient Optics and Photonics, Xi'An Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China
Recommended Citation
GB/T 7714
Bai, Chen,Yu, Xianghua,Peng, Tong,et al. 3D Imaging Restoration of Spinning-Disk Confocal Microscopy Via Deep Learning[J]. IEEE Photonics Technology Letters,2020,32(18):1131-1134.
APA Bai, Chen.,Yu, Xianghua.,Peng, Tong.,Liu, Chao.,Min, Junwei.,...&Yao, Baoli.(2020).3D Imaging Restoration of Spinning-Disk Confocal Microscopy Via Deep Learning.IEEE Photonics Technology Letters,32(18),1131-1134.
MLA Bai, Chen,et al."3D Imaging Restoration of Spinning-Disk Confocal Microscopy Via Deep Learning".IEEE Photonics Technology Letters 32.18(2020):1131-1134.
Files in This Item:
File Name/Size DocType Version Access License
3D Imaging Restorati(3329KB)期刊论文出版稿限制开放CC BY-NC-SAApplication Full Text
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Bai, Chen]'s Articles
[Yu, Xianghua]'s Articles
[Peng, Tong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Bai, Chen]'s Articles
[Yu, Xianghua]'s Articles
[Peng, Tong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Bai, Chen]'s Articles
[Yu, Xianghua]'s Articles
[Peng, Tong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.