Title
Optical flow based arabidopsis thaliana root meristem cell division detection
Abstract
The study of cell division and growth is a fundamental aspect of plant biology research. In this research the Arabidopsis thaliana plant is the most widely studied model plant and research is based on in vivo observation of plant cell development, by time-lapse confocal microscopy. The research herein described is based on a large amount of image data, which must be analyzed to determine meaningful transformation of the cells in the plants. Most approaches for cell division detection are based on the morphological analysis of the cells' segmentation. However, cells are difficult to segment due to bad image quality in the in vivo images. We describe an approach to automatically search for cell division in the Arabidopsis thaliana root meristem using image registration and optical flow. This approach is based on the difference of speeds of the cell division and growth processes (cell division being a much faster process). With this approach, we can achieve a detection accuracy of 96.4%.
Year
DOI
Venue
2010
10.1007/978-3-642-13775-4_22
ICIAR (2)
Keywords
Field
DocType
image registration,image data,bad image quality,arabidopsis thaliana plant,cell division detection,cell division,arabidopsis thaliana root meristem,plant cell development,optical flow,model plant,plant biology research,research herein,confocal microscopy,image processing,image quality,morphological analysis,in vivo imaging
Cell division,Pattern recognition,Biological system,Computer science,Segmentation,Plant cell,Arabidopsis thaliana,Image quality,Artificial intelligence,Optical flow,Confocal microscopy,Meristem
Conference
Volume
ISSN
ISBN
6112
0302-9743
3-642-13774-1
Citations 
PageRank 
References 
4
0.47
8
Authors
3
Name
Order
Citations
PageRank
Pedro Quelhas126121.51
Ana Maria Mendonça266143.86
Aurélio J. C. Campilho332140.49