Title :
The Analysis of Yeast Cell Morphology Using a Robot Scientist
Author :
Liu, Yihui ; Martin, Katherine ; Sparkes, Andrew ; King, Ross D.
Author_Institution :
Sch. of Inf. Sci. & Technol., Shandong Inst. of Light Ind., Jinan, China
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: ΔYLR371w, ΔYDR349c, ΔYLR192c, and ΔYDR414c. 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.
Keywords :
biology computing; cellular biophysics; control engineering computing; crystal morphology; medical image processing; medical robotics; robot vision; ΔYDR349c strain; ΔYDR414c strain; ΔYLR192c strain; ΔYLR371w strain; Saccharomyces cerevisiae cell; genotype; growth condition; image analysis; robot scientist; yeast cell morphology; Robot Eve; automating analysis; morphology features; yeast cell image;
Conference_Titel :
Computational Intelligence and Security (CIS), 2010 International Conference on
Conference_Location :
Nanning
Print_ISBN :
978-1-4244-9114-8
Electronic_ISBN :
978-0-7695-4297-3
DOI :
10.1109/CIS.2010.10