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Application of Lacunarity for Quantification of Single Molecule Localization Microscopy Images

The quantitative analysis of datasets achieved by single molecule localization microscopy is vital for studying the structure of subcellular organizations. Cluster analysis has emerged as a multi-faceted tool in the structural analysis of localization datasets. However, the results it produces great...

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Autores principales: Kovács, Bálint Barna H., Varga, Dániel, Sebők, Dániel, Majoros, Hajnalka, Polanek, Róbert, Pankotai, Tibor, Hideghéty, Katalin, Kukovecz, Ákos, Erdélyi, Miklós
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562870/
https://www.ncbi.nlm.nih.gov/pubmed/36231067
http://dx.doi.org/10.3390/cells11193105
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author Kovács, Bálint Barna H.
Varga, Dániel
Sebők, Dániel
Majoros, Hajnalka
Polanek, Róbert
Pankotai, Tibor
Hideghéty, Katalin
Kukovecz, Ákos
Erdélyi, Miklós
author_facet Kovács, Bálint Barna H.
Varga, Dániel
Sebők, Dániel
Majoros, Hajnalka
Polanek, Róbert
Pankotai, Tibor
Hideghéty, Katalin
Kukovecz, Ákos
Erdélyi, Miklós
author_sort Kovács, Bálint Barna H.
collection PubMed
description The quantitative analysis of datasets achieved by single molecule localization microscopy is vital for studying the structure of subcellular organizations. Cluster analysis has emerged as a multi-faceted tool in the structural analysis of localization datasets. However, the results it produces greatly depend on the set parameters, and the process can be computationally intensive. Here we present a new approach for structural analysis using lacunarity. Unlike cluster analysis, lacunarity can be calculated quickly while providing definitive information about the structure of the localizations. Using simulated data, we demonstrate how lacunarity results can be interpreted. We use these interpretations to compare our lacunarity analysis with our previous cluster analysis-based results in the field of DNA repair, showing the new algorithm’s efficiency.
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spelling pubmed-95628702022-10-15 Application of Lacunarity for Quantification of Single Molecule Localization Microscopy Images Kovács, Bálint Barna H. Varga, Dániel Sebők, Dániel Majoros, Hajnalka Polanek, Róbert Pankotai, Tibor Hideghéty, Katalin Kukovecz, Ákos Erdélyi, Miklós Cells Article The quantitative analysis of datasets achieved by single molecule localization microscopy is vital for studying the structure of subcellular organizations. Cluster analysis has emerged as a multi-faceted tool in the structural analysis of localization datasets. However, the results it produces greatly depend on the set parameters, and the process can be computationally intensive. Here we present a new approach for structural analysis using lacunarity. Unlike cluster analysis, lacunarity can be calculated quickly while providing definitive information about the structure of the localizations. Using simulated data, we demonstrate how lacunarity results can be interpreted. We use these interpretations to compare our lacunarity analysis with our previous cluster analysis-based results in the field of DNA repair, showing the new algorithm’s efficiency. MDPI 2022-10-02 /pmc/articles/PMC9562870/ /pubmed/36231067 http://dx.doi.org/10.3390/cells11193105 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kovács, Bálint Barna H.
Varga, Dániel
Sebők, Dániel
Majoros, Hajnalka
Polanek, Róbert
Pankotai, Tibor
Hideghéty, Katalin
Kukovecz, Ákos
Erdélyi, Miklós
Application of Lacunarity for Quantification of Single Molecule Localization Microscopy Images
title Application of Lacunarity for Quantification of Single Molecule Localization Microscopy Images
title_full Application of Lacunarity for Quantification of Single Molecule Localization Microscopy Images
title_fullStr Application of Lacunarity for Quantification of Single Molecule Localization Microscopy Images
title_full_unstemmed Application of Lacunarity for Quantification of Single Molecule Localization Microscopy Images
title_short Application of Lacunarity for Quantification of Single Molecule Localization Microscopy Images
title_sort application of lacunarity for quantification of single molecule localization microscopy images
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9562870/
https://www.ncbi.nlm.nih.gov/pubmed/36231067
http://dx.doi.org/10.3390/cells11193105
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