Pattern analysis of stem cell growth dynamics in the shoot apex of arabidopsis

Author

Tataw, Oben M. ; Liu, Min ; Roy-Chowdhurry, Amit ; Yadav, Ram K. ; Reddy, G. Venugopala

Author_Institution

Video Comput. Group, Univ. of California, Riverside, CA, USA

fYear

2010

fDate

26-29 Sept. 2010

Firstpage

3617

Lastpage

3620

Abstract

The Shoot Apical Meristem (SAM) is made of stem cells that are responsible for all above ground plant structures. Differentiating cells in the development of SAM form primordia. Primordia develop to become various plant organs. Understanding the growth dynamics of primordia is critical to understanding the developmental dynamics of the entire SAM. We present a method for performing quantitative analysis of primordia development in model plant Arabidopsis thaliana. A contour based approach is used to detect and isolate individual primordia from 3D live imaging data. Regions of growth are detected by analyzing eigenvalues of curvature covariance matrices. After primordia detection and isolation, a Dynamic Time Warping (DTW) Algorithm is applied to compute the rate of growth. Results show the successful use of our method to quantitatively analyze primordial growth.

Keywords

biology computing; botany; covariance matrices; curve fitting; eigenvalues and eigenfunctions; image processing; pattern recognition; 3D live imaging data; DTW algorithm; arabidopsis; contour based approach; curvature covariance matrix; dynamic time warping; eigenvalue; ground plant structure; pattern analysis; plant Arabidopsis thaliana; plant organ; primordia detection; primordia development; primordia isolation; primordial growth; shoot apex; shoot apical meristem; stem cell growth dynamics; Biology; Covariance matrix; Delta modulation; Heuristic algorithms; Imaging; Shape; Three dimensional displays; Curvature; Primordia Development; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2010 17th IEEE International Conference on

Conference_Location

Hong Kong

ISSN

1522-4880

Print_ISBN

978-1-4244-7992-4

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2010.5652018

Filename

5652018