Dual-color super-resolution imaging by fluorescence emission difference microscopy

Author(s):  
Wensheng Wang ◽  
Yifan Wang ◽  
Cuifang Kuang ◽  
Xu Liu
2017 ◽  
Vol 844 ◽  
pp. 012033
Author(s):  
Wen-sheng Wang ◽  
Cui-fang Kuang ◽  
Shao-cong Liu ◽  
Shi-yi Sun ◽  
Xu Liu

AIP Advances ◽  
2015 ◽  
Vol 5 (8) ◽  
pp. 084901 ◽  
Author(s):  
Shangting You ◽  
Cuifang Kuang ◽  
Shuai Li ◽  
Xu Liu ◽  
Zhihua Ding

ACS Nano ◽  
2018 ◽  
Vol 12 (12) ◽  
pp. 12247-12254 ◽  
Author(s):  
Kim-A. Saal ◽  
Frank Richter ◽  
Peter Rehling ◽  
Silvio O. Rizzoli

2018 ◽  
Vol 11 (3) ◽  
pp. 329-336
Author(s):  
张智敏 ZHANG Zhi-min ◽  
匡翠方 KUANG Cui-fang ◽  
王子昂 WANG Zi-ang ◽  
朱大钊 ZHU Da-zhao ◽  
陈友华 CHEN You-hua ◽  
...  

Author(s):  
Duncan Ryan ◽  
Megan K. Dunlap ◽  
Somak Majumder ◽  
Chris J. Sheehan ◽  
James H. Werner ◽  
...  

2021 ◽  
Author(s):  
Sanghyeon Park ◽  
Yonghyeon Jo ◽  
Minsu Kang ◽  
Jin Hee Hong ◽  
Sangyoon Ko ◽  
...  

Specimen-induced aberration has been one of the major factors limiting the imaging depth in single-molecule localization microscopy (SMLM). In this study, we measured the wavefront of intrinsic reflectance signal at the fluorescence emission wavelength to construct a time-gated reflection matrix and find complex tissue aberration without resorting to fluorescence detection. Physically correcting the identified aberration via wavefront shaping with a liquid-crystal spatial light modulator (SLM) enables super-resolution imaging even when the aberration is too severe for initiating localization processes. We demonstrate the correction of complex tissue aberration, the root-mean-square (RMS) wavefront distortion of which is more than twice the 1 rad limit presented in previous studies; this leads to the recovery of single molecules by 77 times increased localization number. We visualised dendritic spines in mouse brain tissues and early myelination processes in a whole zebrafish at up to 102 μm depth with 28-39 nm localization precision. The proposed approach can expand the application range of SMLM to thick samples that cause the loss of localization points owing to severe aberration.


2013 ◽  
Vol 21 (22) ◽  
pp. 26162 ◽  
Author(s):  
Maia Brunstein ◽  
Kai Wicker ◽  
Karine Hérault ◽  
Rainer Heintzmann ◽  
Martin Oheim

2020 ◽  
Vol 460 ◽  
pp. 125087
Author(s):  
Minfei He ◽  
Yubing Han ◽  
Yanhong Gan ◽  
Zhimin Zhang ◽  
Wenjie Liu ◽  
...  

Microscopy ◽  
2018 ◽  
Vol 68 (1) ◽  
pp. 37-44 ◽  
Author(s):  
Sidney L Shaw ◽  
David Thoms ◽  
James Powers

Abstract The advent of super-resolution techniques in biological microscopy has opened new frontiers for exploring the molecular distribution of proteins and small molecules in cells. Improvements in optical design and innovations in the approaches for the collection of fluorescence emission have produced substantial gains in signal from chemical labels and fluorescent proteins. Structuring the illumination to elicit fluorescence from specific or even random patterns allows the extraction of higher order spatial frequencies from specimens labeled with conventional probes. Application of this approach to plant systems for super-resolution imaging has been relatively slow owing in large part to aberrations incurred when imaging through the plant cell wall. In this brief review, we address the use of two prominent methods for generating super-resolution images in living plant specimens and discuss future directions for gaining better access to these techniques.


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