scholarly journals Three-dimensional super-resolution with a 4Pi-confocal microscope using image restoration

1998 ◽  
Vol 84 (8) ◽  
pp. 4033-4042 ◽  
Author(s):  
M. Schrader ◽  
S. W. Hell ◽  
H. T. M. van der Voort
Keyword(s):  
Image Restoration ◽  
Three Dimensional ◽  
Super Resolution ◽  
Confocal Microscope

Three-dimensional image restoration and super-resolution in fluorescence confocal microscopy

1990 ◽  
Vol 157 (1) ◽  
pp. 3-20 ◽  
Author(s):  
M. Bertero ◽  
P. Boccacci ◽  
G. J. Brakenhoff ◽  
F. Malfanti ◽  
H. T. M. Voort
Keyword(s):  
Confocal Microscopy ◽  
Image Restoration ◽  
Three Dimensional ◽  
Super Resolution ◽  
Dimensional Image ◽  
Fluorescence Confocal Microscopy

scholarly journals FOURIER RING CORRELATION SIMPLIFIES IMAGE RESTORATION IN FLUORESCENCE MICROSCOPY

2019 ◽  
Author(s):  
Sami Koho ◽  
Giorgio Tortarolo ◽  
Marco Castello ◽  
Takahiro Deguchi ◽  
Alberto Diaspro ◽  
...  
Keyword(s):  
Image Restoration ◽  
Three Dimensional ◽  
Super Resolution ◽  
General Interest ◽  
Image Deconvolution ◽  
Imaging Results ◽  
Microscopy Image ◽  
Three Dimensional Images ◽  
Blind Image ◽  
Frequency Domain Filtering

AbstractFourier ring correlation (FRC) has recently gained some popularity among (super-resolution) fluorescence microscopists as a straightforward and objective method to measure the effective resolution of a microscopy image. While the knowledge of the numeric resolution value is helpful in e.g. interpreting imaging results, much more practical use can be made of FRC analysis – in this article we propose novel blind image restoration methods enabled by it. We apply FRC to perform image de-noising by frequency domain filtering. We propose novel blind linear and non-linear image deconvolution methods that use FRC to estimate the effective point-spread-function, directly from the images, with no need for prior knowledge of the instrument or sample characteristics. The deconvolution is shown to work exquisitely with both two- and three-dimensional images. We also show how FRC can be used as a powerful metric to observe the progress of iterative deconvolution. While developing the image restoration methods, we also addressed two important limitations in FRC that are of more general interest: how to make FRC work with single images and with three-dimensional images with anisotropic resolution.

scholarly journals Three-dimensional super-resolution imaging for fluorescence emission difference microscopy

AIP Advances ◽  
2015 ◽  
Vol 5 (8) ◽  
pp. 084901 ◽  
Author(s):  
Shangting You ◽  
Cuifang Kuang ◽  
Shuai Li ◽  
Xu Liu ◽  
Zhihua Ding
Keyword(s):  
Three Dimensional ◽  
Fluorescence Emission ◽  
Super Resolution ◽  
Resolution Imaging

Super-resolution imaging using a three-dimensional metamaterials nanolens

2010 ◽  
Vol 96 (2) ◽  
pp. 023114 ◽  
Author(s):  
B. D. F. Casse ◽  
W. T. Lu ◽  
Y. J. Huang ◽  
E. Gultepe ◽  
L. Menon ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Super Resolution ◽  
Resolution Imaging
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