Analysing errors in single-molecule localisation microscopy

Ishan Costello, Susan Cox*

*Corresponding author for this work

Research output: Contribution to journalShort surveypeer-review

3 Citations (Scopus)

Abstract

In single molecule localisation microscopy (SMLM) a super-resolution image of the distribution of fluorophores in the sample is built up from the localised positions of many individual molecules. It has become widely used due to its experimental simplicity and the high resolution that can be achieved. However, the factors which limit resolution in a reconstructed image, and the artefacts which can be present, are completely different to those present in standard fluorescent microscopy techniques. Artefacts may be difficult for users to identify, particularly as they can cause images to appear falsely sharp, an effect called artificial sharpening. Here we discuss the different sources of error and bias in SMLM, and the methods available for avoiding or detecting them.

Original languageEnglish
Article number105931
JournalInternational Journal of Biochemistry and Cell Biology
Volume134
DOIs
Publication statusPublished - May 2021

Keywords

  • Data assessment
  • Single-molecule localisation microscopy
  • Super-resolution

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