دورية أكاديمية
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Application of Lacunarity for Quantification of Single Molecule Localization Microscopy Images

التفاصيل البيبلوغرافية
العنوان: Application of Lacunarity for Quantification of Single Molecule Localization Microscopy Images
المؤلفون: Bálint Barna H. Kovács, Dániel Varga, Dániel Sebők, Hajnalka Majoros, Róbert Polanek, Tibor Pankotai, Katalin Hideghéty, Ákos Kukovecz, Miklós Erdélyi
المصدر: Cells, Vol 11, Iss 3105, p 3105 (2022)
بيانات النشر: MDPI AG
سنة النشر: 2022
المجموعة: Directory of Open Access Journals: DOAJ Articles
مصطلحات موضوعية: lacunarity, dSTORM, quantitative analysis, Cytology, QH573-671
الوصف: 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.
نوع الوثيقة: article in journal/newspaper
اللغة: English
تدمد: 2073-4409
العلاقة: https://www.mdpi.com/2073-4409/11/19/3105Test; https://doaj.org/toc/2073-4409Test; https://doaj.org/article/f33b6d3b424440698a4879c2ca2a0d15Test
DOI: 10.3390/cells11193105
الإتاحة: https://doi.org/10.3390/cells11193105Test
https://doaj.org/article/f33b6d3b424440698a4879c2ca2a0d15Test
رقم الانضمام: edsbas.F4D95A58
قاعدة البيانات: BASE
الوصف
تدمد:20734409
DOI:10.3390/cells11193105