Multiple objects tracking in fluorescence microscopy

Many processes in cell biology are connected to the movement of compact entities: intracellular vesicles and even single molecules. The tracking of individual objects is important for understanding cellular dynamics. Here we describe the tracking algorithms which have been developed in the non-biolo...

Descripción completa

Detalles Bibliográficos
Autor principal: Kalaidzidis, Yannis
Formato: Texto
Lenguaje:English
Publicado: Springer-Verlag 2008
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2798991/
https://www.ncbi.nlm.nih.gov/pubmed/18478231
http://dx.doi.org/10.1007/s00285-008-0180-4
_version_ 1782175757345226752
author Kalaidzidis, Yannis
author_facet Kalaidzidis, Yannis
author_sort Kalaidzidis, Yannis
collection PubMed
description Many processes in cell biology are connected to the movement of compact entities: intracellular vesicles and even single molecules. The tracking of individual objects is important for understanding cellular dynamics. Here we describe the tracking algorithms which have been developed in the non-biological fields and successfully applied to object detection and tracking in biological applications. The characteristics features of the different algorithms are compared. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00285-008-0180-4) contains supplementary material, which is available to authorized users.
format Text
id pubmed-2798991
institution National Center for Biotechnology Information
language English
publishDate 2008
publisher Springer-Verlag
record_format MEDLINE/PubMed
spelling pubmed-27989912010-01-15 Multiple objects tracking in fluorescence microscopy Kalaidzidis, Yannis J Math Biol Article Many processes in cell biology are connected to the movement of compact entities: intracellular vesicles and even single molecules. The tracking of individual objects is important for understanding cellular dynamics. Here we describe the tracking algorithms which have been developed in the non-biological fields and successfully applied to object detection and tracking in biological applications. The characteristics features of the different algorithms are compared. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s00285-008-0180-4) contains supplementary material, which is available to authorized users. Springer-Verlag 2008-05-14 2009 /pmc/articles/PMC2798991/ /pubmed/18478231 http://dx.doi.org/10.1007/s00285-008-0180-4 Text en © The Author(s) 2008 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
spellingShingle Article
Kalaidzidis, Yannis
Multiple objects tracking in fluorescence microscopy
title Multiple objects tracking in fluorescence microscopy
title_full Multiple objects tracking in fluorescence microscopy
title_fullStr Multiple objects tracking in fluorescence microscopy
title_full_unstemmed Multiple objects tracking in fluorescence microscopy
title_short Multiple objects tracking in fluorescence microscopy
title_sort multiple objects tracking in fluorescence microscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2798991/
https://www.ncbi.nlm.nih.gov/pubmed/18478231
http://dx.doi.org/10.1007/s00285-008-0180-4
work_keys_str_mv AT kalaidzidisyannis multipleobjectstrackinginfluorescencemicroscopy

Ejemplares similares