Name
Abstract | ||
|---|---|---|
For actively developing tissues, a computational platform capable of automatically registering, segmenting and tracking cells is very critical to obtaining high-throughput and quantitative measurements of a range of cell behaviors, and can lead to a better understanding of the underlying dynamics of morphogenesis. In this work, we present an automated landmark-based registration method to register shoot apical meristem of Arabidopsis Thaliana images obtained through the Confocal Laser Scanning Microscopy technique. The proposed landmark-based registration method uses local graph-based approach to automatically find corresponding landmark pairs. The registration algorithm combined with an existing tracking method is tested on multiple datasets and it significantly improves the accuracy of cell lineages and division statistics. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ISBI.2013.6556564 | Biomedical Imaging |
Keywords | Field | DocType |
biological techniques,biology computing,cellular biophysics,image registration,optical microscopy,Arabidopsis thaliana image registration,automated landmark-based registration method,cell behavior,cell division statistics,cell lineage statistics,cell registration,cell segmentation,cell tracking,computational platform,confocal laser scanning microscopy technique,local graph-based approach,morphogenesis dynamics,shoot apical meristem,tissue development,tracking method,live imaging,registration,shoot apical meristem | Arabidopsis,Computer vision,Graph,Cellular biophysics,Stack (abstract data type),Pattern recognition,Computer science,Artificial intelligence,Landmark,Image registration,Live cell imaging,Confocal laser scanning microscopy | Conference |
ISSN | ISBN | Citations |
1945-7928 | 978-1-4673-6456-0 | 4 |
PageRank | References | Authors |
0.44 | 4 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Katya Mkrtchyan | 1 | 4 | 0.44 |
| Anirban Chakraborty | 2 | 85 | 10.00 |
| Amit K. Roy Chowdhury | 3 | 1153 | 73.96 |