Abstract:
In vivo observation of cells in the Arabidopsis thaliana root, by time-lapse confocal microscopy, is central to biology research. The research herein described is based o...Show MoreMetadata
Abstract:
In vivo observation of cells in the Arabidopsis thaliana root, by time-lapse confocal microscopy, is central to biology research. The research herein described is based on large amount of image data, which must be analyzed to determine the location and state of individual cells. Automating the process of cell tracking is an important step to create tools which will facilitate the analysis of cellspsila evolution through time. Here we introduce a confocal tracking system designed in two stages. At the image acquisition stage, we track the area under analysis based on point-to-point correspondences and motion estimation. After image acquisition, we compute cell-to-cell correspondences through time. The final result is a temporal structured information about each cell.
Date of Conference: 08-11 December 2008
Date Added to IEEE Xplore: 23 January 2009
ISBN Information:
Print ISSN: 1051-4651
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- IEEE Keywords
- Index Terms
- Cell Tracking ,
- Time-lapse Microscopy ,
- Arabidopsis Thaliana Roots ,
- Individual Cells ,
- Temporal Information ,
- Motion Estimation ,
- Tracking Process ,
- Time-lapse Confocal Microscopy ,
- State Of Individual Cells ,
- Cell Growth ,
- Protein Markers ,
- Image Segmentation ,
- Relative Movement ,
- Discrete Cosine Transform ,
- Motion Compensation ,
- Contour Points
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Cell Tracking ,
- Time-lapse Microscopy ,
- Arabidopsis Thaliana Roots ,
- Individual Cells ,
- Temporal Information ,
- Motion Estimation ,
- Tracking Process ,
- Time-lapse Confocal Microscopy ,
- State Of Individual Cells ,
- Cell Growth ,
- Protein Markers ,
- Image Segmentation ,
- Relative Movement ,
- Discrete Cosine Transform ,
- Motion Compensation ,
- Contour Points