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research article

Nanoscale Pattern Extraction from Relative Positions of Sparse 3D Localizations

Curd, Alistair P.
•
Leng, Joanna
•
Hughes, Ruth E.
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February 10, 2021
Nano Letters

Inferring the organization of fluorescently labeled nanosized structures from single molecule localization microscopy (SMLM) data, typically obscured by stochastic noise and background, remains challenging. To overcome this, we developed a method to extract high-resolution ordered features from SMLM data that requires only a low fraction of targets to be localized with high precision. First, experimentally measured localizations are analyzed to produce relative position distributions (RPDs). Next, model RPDs are constructed using hypotheses of how the molecule is organized. Finally, a statistical comparison is used to select the most likely model. This approach allows pattern recognition at sub-1% detection efficiencies for target molecules, in large and heterogeneous samples and in 2D and 3D data sets. As a proof-of-concept, we infer ultrastructure of Nup107 within the nuclear pore, DNA origami structures, and alpha-actinin-2 within the cardiomyocyte Z-disc and assess the quality of images of centrioles to improve the averaged single-particle reconstruction.

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Type
research article
DOI
10.1021/acs.nanolett.0c03332
Web of Science ID

WOS:000619638600003

Author(s)
Curd, Alistair P.
•
Leng, Joanna
•
Hughes, Ruth E.
•
Cleasby, Alexa J.
•
Rogers, Brendan
•
Trinh, Chi H.
•
Baird, Michelle A.
•
Takagi, Yasuharu
•
Tiede, Christian
•
Sieben, Christian  
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Date Issued

2021-02-10

Publisher

AMER CHEMICAL SOC

Published in
Nano Letters
Volume

21

Issue

3

Start page

1213

End page

1220

Subjects

Chemistry, Multidisciplinary

•

Chemistry, Physical

•

Nanoscience & Nanotechnology

•

Materials Science, Multidisciplinary

•

Physics, Applied

•

Physics, Condensed Matter

•

Chemistry

•

Science & Technology - Other Topics

•

Materials Science

•

Physics

•

super-resolution microscopy

•

image analysis

•

protein organization

•

single molecule localization

•

spatial pattern statistics

•

nanoscale structures

Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LEB  
Available on Infoscience
March 26, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/176819
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