Title | ||
---|---|---|
Analysis of viral surfing based on fluorescence microscopy imaging and automatic tracking |
Abstract | ||
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Ordered movement of virus particles along cell filopodia before cell entry known as viral surfing is an important pathway for cell infection. To quantitatively analyze the process of viral surfing, tracking of viruses over time in fluorescent time-lapse microscopy images is required. We have developed an automatic approach for tracking single surfing virus particles. The approach combines probabilistic tracking of virus particles with a novel approach for segmentation of cell filopodia which is used to discriminate surfing virus particles. The approach was successfully applied to synthetic images as well as live cell microscopy images. |
Year | DOI | Venue |
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2012 | 10.1109/ISBI.2012.6235563 | Biomedical Imaging |
Keywords | Field | DocType |
cellular biophysics,fluorescence,image segmentation,image sequences,microorganisms,object tracking,optical images,optical microscopy,optical tracking,automatic tracking,cell entry,cell filopodia segmentation,cell infection,fluorescence microscopy imaging,fluorescent timelapse microscopy,live cell microscopy images,probabilistic tracking,synthetic images,viral surfing analysis,virus particle ordered movement,Microscopy image sequences,segmentation of cell filopodia,tracking virus particles | Fluorescence microscope,Computer vision,Pattern recognition,Computer science,Segmentation,Image segmentation,Video tracking,Optical tracking,Computed tomography,Artificial intelligence,Microscopy,Filopodia | Conference |
ISSN | ISBN | Citations |
1945-7928 | 978-1-4577-1857-1 | 1 |
PageRank | References | Authors |
0.37 | 3 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Vasil Tsimashchuk | 1 | 1 | 0.37 |
William J. Godinez | 2 | 1 | 0.71 |
Maik J. Lehmann | 3 | 2 | 1.07 |
Karl Rohr | 4 | 340 | 48.69 |