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Automated Image Analysis of Fluorescence Microscopic Images to Identify Protein-protein Interactions

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4 Author(s)
Venkataraman, S. ; masters student in the Electrical Engineering Department at The university of Tennessee, Knoxville TN-37996. (Phone: 865-335-7726; e-mail: sankar@utk.edu). ; Morrell-Falvey, J.L. ; Doktycz, M.J. ; Hairong Qi

The identification of protein-protein interactions along with their spatial and temporal localization is vital data for assigning functional information to proteins. Historically, these data sets obtained from fluorescence microscopy, have been analyzed manually, a process that is both time consuming and tedious. The development of an automated system that can measure the location dynamics of the interaction between two proteins inside a live cell is a high priority. This paper describes an automated image analysis system used to identify the interactions between two proteins of interest fused to either GFP or DIV IVA, a bacterial cell division protein that localizes to the cell poles [1]. Upon the induction of DIV IVA fusion protein expression, the GFP-fusion protein will be recruited to the cell poles if a positive interaction occurs. Advanced image processing and feature extraction algorithms are discussed in detail and a statistical feature set used to quantify the image-based information is developed.

Published in:

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Date of Conference:

01-04 Sept. 2005