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Accumulative difference image protocol for particle tracking in fluorescence microscopy tested in mouse lymphonodes.
- Source :
- PLoS ONE, Vol 5, Iss 8, p e12216 (2010)
- Publication Year :
- 2010
- Publisher :
- Public Library of Science (PLoS), 2010.
-
Abstract
- 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.
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 5
- Issue :
- 8
- Database :
- Directory of Open Access Journals
- Journal :
- PLoS ONE
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.bd05f1afc6b246718dc12c2faecb4180
- Document Type :
- article
- Full Text :
- https://doi.org/10.1371/journal.pone.0012216