Turning single-molecule localization microscopy into a quantitative bioanalytical tool

Philip R. Nicovich; Dylan M. Owen; Katharina Gaus

doi:10.1038/nprot.2016.166

Turning single-molecule localization microscopy into a quantitative bioanalytical tool

Philip R. Nicovich, Dylan M. Owen, Katharina Gaus

Immunology and Immunotherapy

Research output: Contribution to journal › Article › peer-review

72 Citations (Scopus)

Abstract

Single-molecule localization microscopy (SMLM) generates super-resolution images by serially detecting individual fluorescent molecules. The power of SMLM, however, goes beyond images: biologically relevant information can be extracted from the mathematical relationships between the positions of the fluorophores in space and time. Here we review the history of SMLM and how recent progress in methods for spatial point analysis has enabled quantitative measurement of SMLM data, providing insights into biomolecule patterning, clustering and oligomerization in biological systems.

Original language	English
Pages (from-to)	453-460
Number of pages	8
Journal	Nature protocols
Volume	12
Issue number	3
DOIs	https://doi.org/10.1038/nprot.2016.166
Publication status	Published - 2 Feb 2017

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AB - Single-molecule localization microscopy (SMLM) generates super-resolution images by serially detecting individual fluorescent molecules. The power of SMLM, however, goes beyond images: biologically relevant information can be extracted from the mathematical relationships between the positions of the fluorophores in space and time. Here we review the history of SMLM and how recent progress in methods for spatial point analysis has enabled quantitative measurement of SMLM data, providing insights into biomolecule patterning, clustering and oligomerization in biological systems.

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Turning single-molecule localization microscopy into a quantitative bioanalytical tool

Abstract

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