Title
A conditional random field model for tracking in densely packed cell structures
Abstract
Automated tracking of plant and animal cells in time lapse live-imaging datasets of developing multicellular tissues is required for quantitative, high throughput analysis of cell division, migration and cell growth. In this paper, we present a novel cell tracking method that exploits the tight spatial topology of neighboring cells in a multicellular field as contextual information and combines it with physical features of individual cells for generating reliable cell lineages. The 2D image slices of multicellular tissues are modeled as CRFs and spatio-temporal cell to cell correspondences are obtained by performing inference on this CRF using loopy belief propagation. We present results on a (3D+t) confocal image stack of Arabidopsis shoot meristem and show that the method can handle many visual analysis challenges associated with such cell tracking problems, viz. poor feature quality of individual cells, low SNR in parts of images, variable number of cells across slices and cell division detection.
Year
DOI
Venue
2014
10.1109/ICIP.2014.7025090
Image Processing
Keywords
Field
DocType
biological techniques,biological tissues,cell motility,image registration,image segmentation,topology,vegetation,(3D+t) confocal image stack,2D image slices,Arabidopsis shoot meristem,CRF,animal cells,cell division,cell division detection,cell growth,cell migration,cell tracking method,cell tracking problems,conditional random field model,densely packed cell structures,high throughput analysis,loopy belief propagation,multicellular field,multicellular tissues,neighboring cells,plant cells,quantitative analysis,spatial topology,spatiotemporal cell,time lapse live-imaging datasets,Cell tracking,Conditional Random Field,Live cell imaging,Spatial context
Cell division,Conditional random field,Computer vision,Multicellular organism,Pattern recognition,Computer science,Cell growth,Cell,Artificial intelligence,CRFS,Live cell imaging,Belief propagation
Conference
ISSN
Citations 
PageRank 
1522-4880
2
0.37
References 
Authors
11
2
Name
Order
Citations
PageRank
Anirban Chakraborty18510.00
Amit K. Roy Chowdhury2115373.96