Superresolution structured illumination microscopy reconstruction algorithms: a review.

Superresolution structured illumination microscopy reconstruction algorithms: a review.
复制标题

超分辨率结构化照明显微镜重建算法:综述。

DOI:
10.1038/s41377-023-01204-4
复制
发表时间:
2023-07-12
影响因子:
19.4
通讯作者:
Xi, Peng
Xi, Peng
中科院分区:
物理与天体物理1区
文献类型:
--
作者:
Chen, Xin;Zhong, Suyi;Hou, Yiwei;Cao, Ruijie;Wang, Wenyi;Li, Dong;Dai, Qionghai;Kim, Donghyun;Xi, Peng

文献摘要

参考文献

被引文献

相似文献

结构照明显微镜(SIM)已成为下一代宽视场显微镜的标准,提供快速成像速度,超分辨率,大视场和长期成像。在过去的十年中,SIM硬件和软件蓬勃发展,导致在各种生物学问题中的成功应用。然而,释放SIM系统硬件的全部潜力需要开发先进的重建算法。本文介绍了光学切片SIM(OS-SIM)和超分辨率SIM(SR-SIM)两种SIM算法的基本原理,并总结了它们的实现方式。然后,我们提供了现有的OS-SIM处理算法的简要概述,并回顾了SR-SIM重建算法的发展,主要集中在2D-SIM,3D-SIM和盲SIM。为了展示SIM系统的最新发展,并帮助用户为特定应用选择商业SIM系统,我们比较了具有代表性的现成SIM系统的功能。最后,我们提供了SIM的未来发展前景。
Structured illumination microscopy (SIM) has become the standard for next-generation wide-field microscopy, offering ultrahigh imaging speed, superresolution, a large field-of-view, and long-term imaging. Over the past decade, SIM hardware and software have flourished, leading to successful applications in various biological questions. However, unlocking the full potential of SIM system hardware requires the development of advanced reconstruction algorithms. Here, we introduce the basic theory of two SIM algorithms, namely, optical sectioning SIM (OS-SIM) and superresolution SIM (SR-SIM), and summarize their implementation modalities. We then provide a brief overview of existing OS-SIM processing algorithms and review the development of SR-SIM reconstruction algorithms, focusing primarily on 2D-SIM, 3D-SIM, and blind-SIM. To showcase the state-of-the-art development of SIM systems and assist users in selecting a commercial SIM system for a specific application, we compare the features of representative off-the-shelf SIM systems. Finally, we provide perspectives on the potential future developments of SIM.
DOI: 10.1038/ncomms13752
发表时间: 2016-12-09
影响因子: 16.6
作者:
通讯作者: --
DOI: 10.1002/0471142956.cy1219s52
发表时间: 2010-04-01
影响因子: --
作者:
Biggs, David S C
通讯作者: Biggs, David S C
DOI: 10.1073/pnas.1609278114
发表时间: 2017-05-09
影响因子: 11.1
作者:
Chang, Bo-Jui;Meza, Victor Didier Perez;Stelzer, Ernst H. K.
通讯作者: Stelzer, Ernst H. K.
用于单帧结构照明显微镜超分辨率的快速、轻量级网络
DOI: 10.1109/tim.2022.3161721
发表时间: 2022-01-01
影响因子: 5.6
作者:
Cheng, Xi;Li, Jun;Yang, Jian
通讯作者: Yang, Jian
DOI: 10.1016/j.optlaseng.2022.107044
发表时间: 2022-03-23
影响因子: 4.6
作者:
Bilsing, Clemens;Radner, Hannes;Buettner, Lars
通讯作者: Buettner, Lars