DocumentCode
2633489
Title
Automatic quantification of microtubule dynamics
Author
Hadjidemetriou, Stathis ; Duncan, James S. ; Toomre, Derek ; Tuck, David
Author_Institution
Dept. of Electr. Eng. & Diagnostic Radiol., Yale Univ., New Haven, CT, USA
fYear
2004
fDate
15-18 April 2004
Firstpage
656
Abstract
The dynamics of the microtubule assembly are very significant both for cell function and structure. Abnormal function of the assembly is involved in neurodegenerative diseases and cancer. Currently, microtubule dynamics are typically analyzed manually, which is time consuming and limiting. We present an algorithm that quantifies the microtubule dynamics automatically. The quantification becomes simpler, easier, and more extensive. We examine the sensitivity of the algorithm using phantom as well as real data.
Keywords
biomedical optical imaging; cancer; cellular biophysics; fluorescence; molecular biophysics; neurophysiology; phantoms; cancer; cell function; cell structure; epifluorescent confocal microscopy; microtubule dynamics; neurodegenerative diseases; phantom; Alzheimer´s disease; Assembly; Cancer; Drugs; Image edge detection; Imaging phantoms; Microscopy; Motion estimation; Tracking; Vehicle dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
Print_ISBN
0-7803-8388-5
Type
conf
DOI
10.1109/ISBI.2004.1398623
Filename
1398623
Link To Document