Paper Info
Title
The Analysis of Yeast Cell Morphology Using a Robot Scientist
Abstract
We have developed image analysis methods to analyse the morphology of the budding yeast (Saccharomyces cerevisiae) cell. Experiments were performed on four deletant strains: DYLR371w, DYDR349c, DYLR192c, and DYDR414c. Our results show that our image analysis software provides an efficient way to automatically obtain quantitative morphology features of yeast cells. Our research show significant differences from those previously published for these strains. These differences may be due to different growth conditions or the use of unfixed cells. More research is required to understand the complex relationship between genotype and environment in yeast morphology.
Year
DOI
Venue
2010
10.1109/CIS.2010.10
CIS
Keywords
Field
DocType
different growth condition,budding yeast,complex relationship,yeast cell morphology,yeast cell,image analysis software,image analysis method,deletant strain,quantitative morphology feature,robot scientist,yeast morphology,saccharomyces cerevisiae,cell morphology,genomics,pixel,image analysis,robots,shape,strain,morphology,bioinformatics,genotype
Cellular biophysics,Computer science,Yeast,Artificial intelligence,Computational biology,Saccharomyces cerevisiae,Crystal morphology,Computer vision,Cell morphology,Robot vision,Medical robotics,Image analysis,Machine learning
Conference
Citations 
PageRank 
References 
0
0.34
2
Authors
4
Name
Order
Citations
PageRank
Yihui Liu100.34
Katherine Martin200.34
Andrew Sparkes3193.28
Ross D. King41774194.85