Title: Integrating image analysis algorithms in a web interface for the quantification of microtubule dynamics

Authors: Koon Yin Kong; Adam I. Marcus; Paraskevi Giannakakou; May Dongmei Wang

Addresses: School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA. ' Winship Cancer Institute, Department of Hematology and Oncology, Emory University, Atlanta, Georgia 30332, USA. ' Department of Pharmacology, Weill Cornell Medical College, 1300 York Avenue, New York, NY 10065, USA. ' Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA

Abstract: We present improvements to a web interface and an integrated computational tracking algorithm for quantitative analysis of microtubule dynamics in live-cell microscopy images. Based on a previously implemented system, more new functionalities have been added to the interface. The system also integrates a computational tracking algorithm to aid the analysis. The analysis workflow of the proposed interface is made similar to the current manual analysis workflow in order to make the interface intuitive to use. We show the workflow of the computer analysis algorithm and how it is used to aid the existing analysis workflow. We also demonstrate how to re-evaluate existing data in a case study using real imaging data. Lastly, we show the added functionalities of the interface including how to share image data and analysis results.

Keywords: web interface; microtubule dynamics; fluorescence microscopy; image analysis; cell microscopy images; computational tracking.

DOI: 10.1504/IJCBDD.2012.049211

International Journal of Computational Biology and Drug Design, 2012 Vol.5 No.3/4, pp.298 - 313

Published online: 05 Dec 2014 *

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