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Subcellular protein distribution software tools | Super resolution imaging analysis

Localization of a single fluorescent particle with sub-diffraction limit accuracy is a key merit in fluorescence microscopy. Implementation of nonlinear filtering algorithms prior the localization process can improve the localization accuracy of standard existing methods and also enable the localization of overlapping particles, allowing the use of increased fluorophore activation density, and thereby increased data collection speed.

Source text:
(Horcas., 2007) Image processing for super-resolution localization in fluorescence microscopy. 2013 12th Workshop on Information Optics.

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