Accumulative difference image protocol for particle tracking in fluorescence microscopy tested in mouse lymphonodes.

The basic research in cell biology and in medical sciences makes large use of imaging tools mainly based on confocal fluorescence and, more recently, on non-linear excitation microscopy. Substantially the aim is the recognition of selected targets in the image and their tracking in time. We have dev...

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Autores principales: Carlo E Villa, Michele Caccia, Laura Sironi, Laura D'Alfonso, Maddalena Collini, Ilaria Rivolta, Giuseppe Miserocchi, Tatiana Gorletta, Ivan Zanoni, Francesca Granucci, Giuseppe Chirico
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Publicado: Public Library of Science (PLoS) 2010
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Acceso en línea:https://doaj.org/article/bd05f1afc6b246718dc12c2faecb4180
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spelling oai:doaj.org-article:bd05f1afc6b246718dc12c2faecb41802021-11-18T06:35:59ZAccumulative difference image protocol for particle tracking in fluorescence microscopy tested in mouse lymphonodes.1932-620310.1371/journal.pone.0012216https://doaj.org/article/bd05f1afc6b246718dc12c2faecb41802010-08-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20808918/?tool=EBIhttps://doaj.org/toc/1932-6203The basic research in cell biology and in medical sciences makes large use of imaging tools mainly based on confocal fluorescence and, more recently, on non-linear excitation microscopy. Substantially the aim is the recognition of selected targets in the image and their tracking in time. We have developed a particle tracking algorithm optimized for low signal/noise images with a minimum set of requirements on the target size and with no a priori knowledge of the type of motion. The image segmentation, based on a combination of size sensitive filters, does not rely on edge detection and is tailored for targets acquired at low resolution as in most of the in-vivo studies. The particle tracking is performed by building, from a stack of Accumulative Difference Images, a single 2D image in which the motion of the whole set of the particles is coded in time by a color level. This algorithm, tested here on solid-lipid nanoparticles diffusing within cells and on lymphocytes diffusing in lymphonodes, appears to be particularly useful for the cellular and the in-vivo microscopy image processing in which few a priori assumption on the type, the extent and the variability of particle motions, can be done.Carlo E VillaMichele CacciaLaura SironiLaura D'AlfonsoMaddalena ColliniIlaria RivoltaGiuseppe MiserocchiTatiana GorlettaIvan ZanoniFrancesca GranucciGiuseppe ChiricoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 5, Iss 8, p e12216 (2010)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Carlo E Villa
Michele Caccia
Laura Sironi
Laura D'Alfonso
Maddalena Collini
Ilaria Rivolta
Giuseppe Miserocchi
Tatiana Gorletta
Ivan Zanoni
Francesca Granucci
Giuseppe Chirico
Accumulative difference image protocol for particle tracking in fluorescence microscopy tested in mouse lymphonodes.
description The basic research in cell biology and in medical sciences makes large use of imaging tools mainly based on confocal fluorescence and, more recently, on non-linear excitation microscopy. Substantially the aim is the recognition of selected targets in the image and their tracking in time. We have developed a particle tracking algorithm optimized for low signal/noise images with a minimum set of requirements on the target size and with no a priori knowledge of the type of motion. The image segmentation, based on a combination of size sensitive filters, does not rely on edge detection and is tailored for targets acquired at low resolution as in most of the in-vivo studies. The particle tracking is performed by building, from a stack of Accumulative Difference Images, a single 2D image in which the motion of the whole set of the particles is coded in time by a color level. This algorithm, tested here on solid-lipid nanoparticles diffusing within cells and on lymphocytes diffusing in lymphonodes, appears to be particularly useful for the cellular and the in-vivo microscopy image processing in which few a priori assumption on the type, the extent and the variability of particle motions, can be done.
format article
author Carlo E Villa
Michele Caccia
Laura Sironi
Laura D'Alfonso
Maddalena Collini
Ilaria Rivolta
Giuseppe Miserocchi
Tatiana Gorletta
Ivan Zanoni
Francesca Granucci
Giuseppe Chirico
author_facet Carlo E Villa
Michele Caccia
Laura Sironi
Laura D'Alfonso
Maddalena Collini
Ilaria Rivolta
Giuseppe Miserocchi
Tatiana Gorletta
Ivan Zanoni
Francesca Granucci
Giuseppe Chirico
author_sort Carlo E Villa
title Accumulative difference image protocol for particle tracking in fluorescence microscopy tested in mouse lymphonodes.
title_short Accumulative difference image protocol for particle tracking in fluorescence microscopy tested in mouse lymphonodes.
title_full Accumulative difference image protocol for particle tracking in fluorescence microscopy tested in mouse lymphonodes.
title_fullStr Accumulative difference image protocol for particle tracking in fluorescence microscopy tested in mouse lymphonodes.
title_full_unstemmed Accumulative difference image protocol for particle tracking in fluorescence microscopy tested in mouse lymphonodes.
title_sort accumulative difference image protocol for particle tracking in fluorescence microscopy tested in mouse lymphonodes.
publisher Public Library of Science (PLoS)
publishDate 2010
url https://doaj.org/article/bd05f1afc6b246718dc12c2faecb4180
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