Ultrafast, accurate, and robust localization of anisotropic dipoles
Protein & Cell
;
(12): 598-606, 2013.
Article
in English
| WPRIM
| ID: wpr-757785
ABSTRACT
The resolution of single molecule localization imaging techniques largely depends on the precision of localization algorithms. However, the commonly used Gaussian function is not appropriate for anisotropic dipoles because it is not the true point spread function. We derived the theoretical point spread function of tilted dipoles with restricted mobility and developed an algorithm based on an artificial neural network for estimating the localization, orientation and mobility of individual dipoles. Compared with fitting-based methods, our algorithm demonstrated ultrafast speed and higher accuracy, reduced sensitivity to defocusing, strong robustness and adaptability, making it an optimal choice for both two-dimensional and three-dimensional super-resolution imaging analysis.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Plasmids
/
Algorithms
/
HeLa Cells
/
Normal Distribution
/
Chlorocebus aethiops
/
COS Cells
/
Imaging, Three-Dimensional
/
Cytochrome P-450 Enzyme System
/
Alcohol Oxidoreductases
/
Genetics
Limits:
Animals
/
Humans
Language:
English
Journal:
Protein & Cell
Year:
2013
Type:
Article
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