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PALMsiever: a tool to turn raw data into results for single-molecule localization microscopy

During the past decade, localization microscopy (LM) has transformed into an accessible, commercially available technique for life sciences. However, data processing can be challenging to the non-specialist and care is still needed to produce meaningful results. PALMsiever has been developed to prov...

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Detalles Bibliográficos
Autores principales: Pengo, Thomas, Holden, Seamus J., Manley, Suliana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4341069/
https://www.ncbi.nlm.nih.gov/pubmed/25362091
http://dx.doi.org/10.1093/bioinformatics/btu720
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author Pengo, Thomas
Holden, Seamus J.
Manley, Suliana
author_facet Pengo, Thomas
Holden, Seamus J.
Manley, Suliana
author_sort Pengo, Thomas
collection PubMed
description During the past decade, localization microscopy (LM) has transformed into an accessible, commercially available technique for life sciences. However, data processing can be challenging to the non-specialist and care is still needed to produce meaningful results. PALMsiever has been developed to provide a user-friendly means of visualizing, filtering and analyzing LM data. It includes drift correction, clustering, intelligent line profiles, many rendering algorithms and 3D data visualization. It incorporates the main analysis and data processing modalities used by experts in the field, as well as several new features we developed, and makes them broadly accessible. It can easily be extended via plugins and is provided as free of charge open-source software. Contact: thomas.pengo@gmail.com
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spelling pubmed-43410692015-03-10 PALMsiever: a tool to turn raw data into results for single-molecule localization microscopy Pengo, Thomas Holden, Seamus J. Manley, Suliana Bioinformatics Applications Notes During the past decade, localization microscopy (LM) has transformed into an accessible, commercially available technique for life sciences. However, data processing can be challenging to the non-specialist and care is still needed to produce meaningful results. PALMsiever has been developed to provide a user-friendly means of visualizing, filtering and analyzing LM data. It includes drift correction, clustering, intelligent line profiles, many rendering algorithms and 3D data visualization. It incorporates the main analysis and data processing modalities used by experts in the field, as well as several new features we developed, and makes them broadly accessible. It can easily be extended via plugins and is provided as free of charge open-source software. Contact: thomas.pengo@gmail.com Oxford University Press 2015-03-01 2014-10-31 /pmc/articles/PMC4341069/ /pubmed/25362091 http://dx.doi.org/10.1093/bioinformatics/btu720 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Applications Notes
Pengo, Thomas
Holden, Seamus J.
Manley, Suliana
PALMsiever: a tool to turn raw data into results for single-molecule localization microscopy
title PALMsiever: a tool to turn raw data into results for single-molecule localization microscopy
title_full PALMsiever: a tool to turn raw data into results for single-molecule localization microscopy
title_fullStr PALMsiever: a tool to turn raw data into results for single-molecule localization microscopy
title_full_unstemmed PALMsiever: a tool to turn raw data into results for single-molecule localization microscopy
title_short PALMsiever: a tool to turn raw data into results for single-molecule localization microscopy
title_sort palmsiever: a tool to turn raw data into results for single-molecule localization microscopy
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4341069/
https://www.ncbi.nlm.nih.gov/pubmed/25362091
http://dx.doi.org/10.1093/bioinformatics/btu720
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