Literature DB >> 33609748

Analysing errors in single-molecule localisation microscopy.

Ishan Costello1, Susan Cox2.   

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.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Keywords:  Data assessment; Single-molecule localisation microscopy; Super-resolution

Year:  2021        PMID: 33609748     DOI: 10.1016/j.biocel.2021.105931

Source DB:  PubMed          Journal:  Int J Biochem Cell Biol        ISSN: 1357-2725            Impact factor:   5.085


  1 in total

1.  Fast DNA-PAINT imaging using a deep neural network.

Authors:  Kaarjel K Narayanasamy; Johanna V Rahm; Siddharth Tourani; Mike Heilemann
Journal:  Nat Commun       Date:  2022-08-27       Impact factor: 17.694

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.