Title
Automated estimation of microtubule model parameters from 3-D live cell microscopy images
Abstract
While basic principles of microtubule organization are well understood, much remains to be learned about the extent and significance of variation in that organization among cell types and conditions. Large numbers of images of microtubule distributions for many cell types can be readily obtained by high throughput fluorescence microscopy but direct estimation of the parameters underlying the organization is problematic because it is difficult to resolve individual microtubules present at the microtubule-organizing center or at regions of high crossover. Previously, we developed an indirect, generative model-based approach that can estimate such spatial distribution parameters as the number and mean length of microtubules. In order to validate this approach, we have applied it to 3D images of NIH 3T3 cells expressing fluorescently-tagged tubulin in the presence and absence of the microtubule depolymerizing drug nocodazole. We describe here the first application of our inverse modeling approach to live cell images and demonstrate that it yields estimates consistent with expectations.
Year
DOI
Venue
2011
10.1109/ISBI.2011.5872646
Chicago, IL
Keywords
Field
DocType
biomedical optical imaging,cancer,cellular biophysics,drugs,fluorescence,optical microscopy,parameter estimation,proteins,3D live cell microscopy images,NIH 3T3 cells,automated estimation,cell types,fluorescently-tagged tubulin,high throughput fluorescence microscopy,inverse modeling,microtubule depolymerizing drug nocodazole,microtubule model parameters,microtubule organization,spatial distribution parameter estimation,Microtubules,NIH 3T3 cells,generative models,nocodazole,parameter estimation
Fluorescence microscope,Tubulin,Crossover,Pattern recognition,Microtubule,Computer science,Artificial intelligence,Microscopy,Estimation theory,Nocodazole,Generative model
Conference
Volume
Issue
ISSN
2011
March 30 2011-April 2 2011
1945-7928 E-ISBN : 978-1-4244-4128-0
ISBN
Citations 
PageRank 
978-1-4244-4128-0
1
0.38
References 
Authors
1
3
Name
Order
Citations
PageRank
Aabid Shariff1262.47
Robert F Murphy285178.19
Gustavo K. Rohde339541.81