Automated cell tracking and analysis in phase-contrast videos (iTrack4U): development of Java software based on combined mean-shift processes.

Cell migration is a key biological process with a role in both physiological and pathological conditions. Locomotion of cells during embryonic development is essential for their correct positioning in the organism; immune cells have to migrate and circulate in response to injury. Failure of cells to...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Fabrice P Cordelières, Valérie Petit, Mayuko Kumasaka, Olivier Debeir, Véronique Letort, Stuart J Gallagher, Lionel Larue
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/11fd49af844e4a24a0e1d6f077c0c906
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:11fd49af844e4a24a0e1d6f077c0c906
record_format	dspace
spelling	oai:doaj.org-article:11fd49af844e4a24a0e1d6f077c0c9062021-11-18T08:44:24ZAutomated cell tracking and analysis in phase-contrast videos (iTrack4U): development of Java software based on combined mean-shift processes.1932-620310.1371/journal.pone.0081266https://doaj.org/article/11fd49af844e4a24a0e1d6f077c0c9062013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24312283/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203Cell migration is a key biological process with a role in both physiological and pathological conditions. Locomotion of cells during embryonic development is essential for their correct positioning in the organism; immune cells have to migrate and circulate in response to injury. Failure of cells to migrate or an inappropriate acquisition of migratory capacities can result in severe defects such as altered pigmentation, skull and limb abnormalities during development, and defective wound repair, immunosuppression or tumor dissemination. The ability to accurately analyze and quantify cell migration is important for our understanding of development, homeostasis and disease. In vitro cell tracking experiments, using primary or established cell cultures, are often used to study migration as cells can quickly and easily be genetically or chemically manipulated. Images of the cells are acquired at regular time intervals over several hours using microscopes equipped with CCD camera. The locations (x,y,t) of each cell on the recorded sequence of frames then need to be tracked. Manual computer-assisted tracking is the traditional method for analyzing the migratory behavior of cells. However, this processing is extremely tedious and time-consuming. Most existing tracking algorithms require experience in programming languages that are unfamiliar to most biologists. We therefore developed an automated cell tracking program, written in Java, which uses a mean-shift algorithm and ImageJ as a library. iTrack4U is a user-friendly software. Compared to manual tracking, it saves considerable amount of time to generate and analyze the variables characterizing cell migration, since they are automatically computed with iTrack4U. Another major interest of iTrack4U is the standardization and the lack of inter-experimenter differences. Finally, iTrack4U is adapted for phase contrast and fluorescent cells.Fabrice P CordelièresValérie PetitMayuko KumasakaOlivier DebeirVéronique LetortStuart J GallagherLionel LaruePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 11, p e81266 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Fabrice P Cordelières Valérie Petit Mayuko Kumasaka Olivier Debeir Véronique Letort Stuart J Gallagher Lionel Larue Automated cell tracking and analysis in phase-contrast videos (iTrack4U): development of Java software based on combined mean-shift processes.
description	Cell migration is a key biological process with a role in both physiological and pathological conditions. Locomotion of cells during embryonic development is essential for their correct positioning in the organism; immune cells have to migrate and circulate in response to injury. Failure of cells to migrate or an inappropriate acquisition of migratory capacities can result in severe defects such as altered pigmentation, skull and limb abnormalities during development, and defective wound repair, immunosuppression or tumor dissemination. The ability to accurately analyze and quantify cell migration is important for our understanding of development, homeostasis and disease. In vitro cell tracking experiments, using primary or established cell cultures, are often used to study migration as cells can quickly and easily be genetically or chemically manipulated. Images of the cells are acquired at regular time intervals over several hours using microscopes equipped with CCD camera. The locations (x,y,t) of each cell on the recorded sequence of frames then need to be tracked. Manual computer-assisted tracking is the traditional method for analyzing the migratory behavior of cells. However, this processing is extremely tedious and time-consuming. Most existing tracking algorithms require experience in programming languages that are unfamiliar to most biologists. We therefore developed an automated cell tracking program, written in Java, which uses a mean-shift algorithm and ImageJ as a library. iTrack4U is a user-friendly software. Compared to manual tracking, it saves considerable amount of time to generate and analyze the variables characterizing cell migration, since they are automatically computed with iTrack4U. Another major interest of iTrack4U is the standardization and the lack of inter-experimenter differences. Finally, iTrack4U is adapted for phase contrast and fluorescent cells.
format	article
author	Fabrice P Cordelières Valérie Petit Mayuko Kumasaka Olivier Debeir Véronique Letort Stuart J Gallagher Lionel Larue
author_facet	Fabrice P Cordelières Valérie Petit Mayuko Kumasaka Olivier Debeir Véronique Letort Stuart J Gallagher Lionel Larue
author_sort	Fabrice P Cordelières
title	Automated cell tracking and analysis in phase-contrast videos (iTrack4U): development of Java software based on combined mean-shift processes.
title_short	Automated cell tracking and analysis in phase-contrast videos (iTrack4U): development of Java software based on combined mean-shift processes.
title_full	Automated cell tracking and analysis in phase-contrast videos (iTrack4U): development of Java software based on combined mean-shift processes.
title_fullStr	Automated cell tracking and analysis in phase-contrast videos (iTrack4U): development of Java software based on combined mean-shift processes.
title_full_unstemmed	Automated cell tracking and analysis in phase-contrast videos (iTrack4U): development of Java software based on combined mean-shift processes.
title_sort	automated cell tracking and analysis in phase-contrast videos (itrack4u): development of java software based on combined mean-shift processes.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/11fd49af844e4a24a0e1d6f077c0c906
work_keys_str_mv	AT fabricepcordelieres automatedcelltrackingandanalysisinphasecontrastvideositrack4udevelopmentofjavasoftwarebasedoncombinedmeanshiftprocesses AT valeriepetit automatedcelltrackingandanalysisinphasecontrastvideositrack4udevelopmentofjavasoftwarebasedoncombinedmeanshiftprocesses AT mayukokumasaka automatedcelltrackingandanalysisinphasecontrastvideositrack4udevelopmentofjavasoftwarebasedoncombinedmeanshiftprocesses AT olivierdebeir automatedcelltrackingandanalysisinphasecontrastvideositrack4udevelopmentofjavasoftwarebasedoncombinedmeanshiftprocesses AT veroniqueletort automatedcelltrackingandanalysisinphasecontrastvideositrack4udevelopmentofjavasoftwarebasedoncombinedmeanshiftprocesses AT stuartjgallagher automatedcelltrackingandanalysisinphasecontrastvideositrack4udevelopmentofjavasoftwarebasedoncombinedmeanshiftprocesses AT lionellarue automatedcelltrackingandanalysisinphasecontrastvideositrack4udevelopmentofjavasoftwarebasedoncombinedmeanshiftprocesses
_version_	1718421365520859136

Automated cell tracking and analysis in phase-contrast videos (iTrack4U): development of Java software based on combined mean-shift processes.

Ejemplares similares