DAOSTORM: an algorithm for high- density super-resolution microscopy

2011 ◽  
Vol 8 (4) ◽  
pp. 279-280 ◽  
Author(s):  
Seamus J Holden ◽  
Stephan Uphoff ◽  
Achillefs N Kapanidis
Keyword(s):  
Super Resolution ◽  
High Density ◽  
Super Resolution Microscopy

scholarly journals Erratum: Multitarget super-resolution microscopy with high-density labeling by exchangeable probes

2015 ◽  
Vol 12 (9) ◽  
pp. 893-893
Author(s):  
Tai Kiuchi ◽  
Makio Higuchi ◽  
Akihiro Takamura ◽  
Masahiro Maruoka ◽  
Naoki Watanabe
Keyword(s):  
Super Resolution ◽  
High Density ◽  
Super Resolution Microscopy

scholarly journals Multitarget super-resolution microscopy with high-density labeling by exchangeable probes

2015 ◽  
Vol 12 (8) ◽  
pp. 743-746 ◽  
Author(s):  
Tai Kiuchi ◽  
Makio Higuchi ◽  
Akihiro Takamura ◽  
Masahiro Maruoka ◽  
Naoki Watanabe
Keyword(s):  
Super Resolution ◽  
High Density ◽  
Super Resolution Microscopy

scholarly journals Sparse deconvolution of high-density super-resolution images

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Siewert Hugelier ◽  
Johan J. de Rooi ◽  
Romain Bernex ◽  
Sam Duwé ◽  
Olivier Devos ◽  
...  
Keyword(s):  
Morphological Changes ◽  
Super Resolution ◽  
Penalized Regression ◽  
High Density ◽  
Wide Field ◽  
Cellular Processes ◽  
Resolution Imaging ◽  
Super Resolution Microscopy ◽  
Simulated Images ◽  
Norm Penalty

Abstract In wide-field super-resolution microscopy, investigating the nanoscale structure of cellular processes, and resolving fast dynamics and morphological changes in cells requires algorithms capable of working with a high-density of emissive fluorophores. Current deconvolution algorithms estimate fluorophore density by using representations of the signal that promote sparsity of the super-resolution images via an L1-norm penalty. This penalty imposes a restriction on the sum of absolute values of the estimates of emitter brightness. By implementing an L0-norm penalty – on the number of fluorophores rather than on their overall brightness – we present a penalized regression approach that can work at high-density and allows fast super-resolution imaging. We validated our approach on simulated images with densities up to 15 emitters per μm-2 and investigated total internal reflection fluorescence (TIRF) data of mitochondria in a HEK293-T cell labeled with DAKAP-Dronpa. We demonstrated super-resolution imaging of the dynamics with a resolution down to 55 nm and a 0.5 s time sampling.

scholarly journals FALCON: fast and unbiased reconstruction of high-density super-resolution microscopy data

2014 ◽  
Vol 4 (1) ◽  
Author(s):  
Junhong Min ◽  
Cédric Vonesch ◽  
Hagai Kirshner ◽  
Lina Carlini ◽  
Nicolas Olivier ◽  
...  
Keyword(s):  
Super Resolution ◽  
High Density ◽  
Microscopy Data ◽  
Super Resolution Microscopy

Super-Resolution Microscopy in Studying the Structure and Function of the Cell Nucleus

Acta Naturae ◽  
2017 ◽  
Vol 9 (4) ◽  
pp. 42-51
Author(s):  
S. S. Ryabichko ◽  
◽  
A. N. Ibragimov ◽  
L. A. Lebedeva ◽  
E. N. Kozlov ◽  
...  
Keyword(s):  
Cell Nucleus ◽  
Super Resolution ◽  
Structure And Function ◽  
And Function ◽  
Super Resolution Microscopy
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