A density-based enrichment measure for assessing colocalization in single-molecule localization microscopy data

Aske L. Ejdrup; Matthew D. Lycas; Niels Lorenzen; Ainoa Konomi; Freja Herborg; Kenneth L. Madsen; Ulrik Gether

doi:10.1038/s41467-022-32064-y

Nature Communications (Jul 2022)

A density-based enrichment measure for assessing colocalization in single-molecule localization microscopy data

Aske L. Ejdrup,
Matthew D. Lycas,
Niels Lorenzen,
Ainoa Konomi,
Freja Herborg,
Kenneth L. Madsen,
Ulrik Gether

Affiliations

Aske L. Ejdrup: Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen
Matthew D. Lycas: Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen
Niels Lorenzen: Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen
Ainoa Konomi: Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen
Freja Herborg: Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen
Kenneth L. Madsen: Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen
Ulrik Gether: Department of Neuroscience, Faculty of Health and Medical Sciences, University of Copenhagen

DOI: https://doi.org/10.1038/s41467-022-32064-y
Journal volume & issue: Vol. 13, no. 1
pp. 1 – 10

Abstract

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Full information gained from single-molecule localisation microscopy (SMLM) isn't exploited by current analysis tools. Here the authors report relative enrichment which uses a density-based colocalisation measure for both 2D and 3D SMLM data; they apply it to both simulated data and cultured neurons.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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