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Quantitative fibre analysis of single-molecule localization microscopy data
Single molecule localization microscopy (SMLM) methods produce data in the form of a spatial point pattern (SPP) of all localized emitters. Whilst numerous tools exist to quantify molecular clustering in SPP data, the analysis of fibrous structures has remained understudied. Taking the SMLM localiza...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6039472/ https://www.ncbi.nlm.nih.gov/pubmed/29991683 http://dx.doi.org/10.1038/s41598-018-28691-5 |
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author | Peters, Ruby Griffié, Juliette Burn, Garth L. Williamson, David J. Owen, Dylan M. |
author_facet | Peters, Ruby Griffié, Juliette Burn, Garth L. Williamson, David J. Owen, Dylan M. |
author_sort | Peters, Ruby |
collection | PubMed |
description | Single molecule localization microscopy (SMLM) methods produce data in the form of a spatial point pattern (SPP) of all localized emitters. Whilst numerous tools exist to quantify molecular clustering in SPP data, the analysis of fibrous structures has remained understudied. Taking the SMLM localization coordinates as input, we present an algorithm capable of tracing fibrous structures in data generated by SMLM. Based upon a density parameter tracing routine, the algorithm outputs several fibre descriptors, such as number of fibres, length of fibres, area of enclosed regions and locations and angles of fibre branch points. The method is validated in a variety of simulated conditions and experimental data acquired using the image reconstruction by integrating exchangeable single-molecule localization (IRIS) technique. For this, the nanoscale architecture of F-actin at the T cell immunological synapse in both untreated and pharmacologically treated cells, designed to perturb actin structure, was analysed. |
format | Online Article Text |
id | pubmed-6039472 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60394722018-07-12 Quantitative fibre analysis of single-molecule localization microscopy data Peters, Ruby Griffié, Juliette Burn, Garth L. Williamson, David J. Owen, Dylan M. Sci Rep Article Single molecule localization microscopy (SMLM) methods produce data in the form of a spatial point pattern (SPP) of all localized emitters. Whilst numerous tools exist to quantify molecular clustering in SPP data, the analysis of fibrous structures has remained understudied. Taking the SMLM localization coordinates as input, we present an algorithm capable of tracing fibrous structures in data generated by SMLM. Based upon a density parameter tracing routine, the algorithm outputs several fibre descriptors, such as number of fibres, length of fibres, area of enclosed regions and locations and angles of fibre branch points. The method is validated in a variety of simulated conditions and experimental data acquired using the image reconstruction by integrating exchangeable single-molecule localization (IRIS) technique. For this, the nanoscale architecture of F-actin at the T cell immunological synapse in both untreated and pharmacologically treated cells, designed to perturb actin structure, was analysed. Nature Publishing Group UK 2018-07-10 /pmc/articles/PMC6039472/ /pubmed/29991683 http://dx.doi.org/10.1038/s41598-018-28691-5 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Peters, Ruby Griffié, Juliette Burn, Garth L. Williamson, David J. Owen, Dylan M. Quantitative fibre analysis of single-molecule localization microscopy data |
title | Quantitative fibre analysis of single-molecule localization microscopy data |
title_full | Quantitative fibre analysis of single-molecule localization microscopy data |
title_fullStr | Quantitative fibre analysis of single-molecule localization microscopy data |
title_full_unstemmed | Quantitative fibre analysis of single-molecule localization microscopy data |
title_short | Quantitative fibre analysis of single-molecule localization microscopy data |
title_sort | quantitative fibre analysis of single-molecule localization microscopy data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6039472/ https://www.ncbi.nlm.nih.gov/pubmed/29991683 http://dx.doi.org/10.1038/s41598-018-28691-5 |
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