Cargando…
TrackNTrace: A simple and extendable open-source framework for developing single-molecule localization and tracking algorithms
Super-resolution localization microscopy and single particle tracking are important tools for fluorescence microscopy. Both rely on detecting, and tracking, a large number of fluorescent markers using increasingly sophisticated computer algorithms. However, this rise in complexity makes it difficult...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5122847/ https://www.ncbi.nlm.nih.gov/pubmed/27885259 http://dx.doi.org/10.1038/srep37947 |
_version_ | 1782469652919615488 |
---|---|
author | Stein, Simon Christoph Thiart, Jan |
author_facet | Stein, Simon Christoph Thiart, Jan |
author_sort | Stein, Simon Christoph |
collection | PubMed |
description | Super-resolution localization microscopy and single particle tracking are important tools for fluorescence microscopy. Both rely on detecting, and tracking, a large number of fluorescent markers using increasingly sophisticated computer algorithms. However, this rise in complexity makes it difficult to fine-tune parameters and detect inconsistencies, improve existing routines, or develop new approaches founded on established principles. We present an open-source MATLAB framework for single molecule localization, tracking and super-resolution applications. The purpose of this software is to facilitate the development, distribution, and comparison of methods in the community by providing a unique, easily extendable plugin-based system and combining it with a novel visualization system. This graphical interface incorporates possibilities for quick inspection of localization and tracking results, giving direct feedback of the quality achieved with the chosen algorithms and parameter values, as well as possible sources for errors. This is of great importance in practical applications and even more so when developing new techniques. The plugin system greatly simplifies the development of new methods as well as adapting and tailoring routines towards any research problem’s individual requirements. We demonstrate its high speed and accuracy with plugins implementing state-of-the-art algorithms and show two biological applications. |
format | Online Article Text |
id | pubmed-5122847 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-51228472016-11-28 TrackNTrace: A simple and extendable open-source framework for developing single-molecule localization and tracking algorithms Stein, Simon Christoph Thiart, Jan Sci Rep Article Super-resolution localization microscopy and single particle tracking are important tools for fluorescence microscopy. Both rely on detecting, and tracking, a large number of fluorescent markers using increasingly sophisticated computer algorithms. However, this rise in complexity makes it difficult to fine-tune parameters and detect inconsistencies, improve existing routines, or develop new approaches founded on established principles. We present an open-source MATLAB framework for single molecule localization, tracking and super-resolution applications. The purpose of this software is to facilitate the development, distribution, and comparison of methods in the community by providing a unique, easily extendable plugin-based system and combining it with a novel visualization system. This graphical interface incorporates possibilities for quick inspection of localization and tracking results, giving direct feedback of the quality achieved with the chosen algorithms and parameter values, as well as possible sources for errors. This is of great importance in practical applications and even more so when developing new techniques. The plugin system greatly simplifies the development of new methods as well as adapting and tailoring routines towards any research problem’s individual requirements. We demonstrate its high speed and accuracy with plugins implementing state-of-the-art algorithms and show two biological applications. Nature Publishing Group 2016-11-25 /pmc/articles/PMC5122847/ /pubmed/27885259 http://dx.doi.org/10.1038/srep37947 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Stein, Simon Christoph Thiart, Jan TrackNTrace: A simple and extendable open-source framework for developing single-molecule localization and tracking algorithms |
title | TrackNTrace: A simple and extendable open-source framework for developing single-molecule localization and tracking algorithms |
title_full | TrackNTrace: A simple and extendable open-source framework for developing single-molecule localization and tracking algorithms |
title_fullStr | TrackNTrace: A simple and extendable open-source framework for developing single-molecule localization and tracking algorithms |
title_full_unstemmed | TrackNTrace: A simple and extendable open-source framework for developing single-molecule localization and tracking algorithms |
title_short | TrackNTrace: A simple and extendable open-source framework for developing single-molecule localization and tracking algorithms |
title_sort | trackntrace: a simple and extendable open-source framework for developing single-molecule localization and tracking algorithms |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5122847/ https://www.ncbi.nlm.nih.gov/pubmed/27885259 http://dx.doi.org/10.1038/srep37947 |
work_keys_str_mv | AT steinsimonchristoph trackntraceasimpleandextendableopensourceframeworkfordevelopingsinglemoleculelocalizationandtrackingalgorithms AT thiartjan trackntraceasimpleandextendableopensourceframeworkfordevelopingsinglemoleculelocalizationandtrackingalgorithms |