DocumentCode
2764920
Title
A web interface for the quantification of microtubule dynamics
Author
Kong, Koon Yin ; Marcus, Adam I. ; Giaanakakou, Paraskevi ; Wang, May D.
Author_Institution
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear
2011
fDate
12-15 Nov. 2011
Firstpage
209
Lastpage
214
Abstract
We propose a web interface that allows researchers to quantify and analyze microtubule confocal images online. Most analyses of microtubule confocal images are performed manually using very simple software or tools. Analysis results are stored locally within each collaborator with different styles and formats. This has limited the sharing of data and results when collaborating among different research parties. A web interface provides a simple way for users to process data online. It also allows easy sharing of both data and results among different participating groups. Analysis workflow of the interface is made similar to existing manual protocols. We demonstrate the integration of image processing algorithm in the current workflow to aid the analysis. Our design also allows integration of novel automated analysis algorithms and modules to re-evaluate existing data. This interface can provide a validation platform for new automated algorithm and allow collaboration on microtubule image analysis from different locations.
Keywords
Internet; medical image processing; user interfaces; Web interface; analysis workflow; automated analysis algorithms; data sharing; image processing algorithm; microtubule confocal image online analysis; microtubule dynamics quantification; online data processing; Algorithm design and analysis; Databases; Image enhancement; Manuals; Protocols; Web servers;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedicine Workshops (BIBMW), 2011 IEEE International Conference on
Conference_Location
Atlanta, GA
Print_ISBN
978-1-4577-1612-6
Type
conf
DOI
10.1109/BIBMW.2011.6112376
Filename
6112376
Link To Document