Institutional Repository [SANDBOX]
Technical University of Crete
EN  |  EL

Search

Browse

My Space

An automated digital fluorescence imaging system of tumor margins using clustering-based image thresholding

Zervakis Michalis, Chhaya Narayan, Sanjeeb Shrestha, George Giakos, Tannaz Farrahi

Full record


URI: http://purl.tuc.gr/dl/dias/D4A6B1CF-621C-4C7A-BEA9-2B6D0F48E9FA
Year 2013
Type of Item Conference Poster
License
Details
Bibliographic Citation G. Giakos, A. Deshpande, T. Quang, T. Farrahi, C. Narayan, S. Shrestha, M. Zervakis, G.Livanos, E. Bei ,"An automated digital fluorescence imaging system of tumor margins using clustering-based image thresholding ,"in 2013 Intern.Conf. on Imaging Systems and Tech. (IST),pp.116-120.doi :10.1109/IST.2013.6729674 https://doi.org/10.1109/IST.2013.6729674
Appears in Collections

Summary

An optical system for efficient fluorescence imaging of cancer margins aiming at enhanced discrimination of the tumor area from the surrounding normal tissue, is presented. Fluorescence imaging was used to acquire grayscale images of brain tumor samples of 10 μm slice thickness. The tumor cells are characterized as Gli36Δ5 cells expressing Green Fluorescent Protein (GFP). An image processing technique involving the clustering-based concept of Otsu segmentation was applied to enhance the contrast and difference between the tumor and the rest of the tissue for improved visualization of tumor margins. Edge detection was performed on these processed images to mark the boundaries of the tumor area. The fluorescence imaging results depict clear demarcation of tumor boundary and a substantial improvement of the contrast, post processing.

Services

Statistics