Nanoscale pattern extraction from relative positions of sparse 3D localisations
Keyword(s):
AbstractWe present a method for extracting high-resolution ordered features from localisation microscopy data by analysis of relative molecular positions in 2D or 3D. This approach allows pattern recognition at sub-1% protein detection efficiencies, in large and heterogeneous samples, and in 2D and 3D datasets. We used this method to infer ultrastructure of the nuclear pore, the cardiomyocyte Z-disk, DNA origami structures and the centriole.
2021 ◽
2000 ◽
Vol 1
(2)
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pp. 109-114
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2009 ◽
2019 ◽
Vol 10
(23)
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pp. 7356-7361
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