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Image Analysis for High-Throughput Materials Science



Alamgir Karim, A Sehgal, J C. Meredith, A J. Crosby, Eric J. Amis


Imaging plays a key role in modern day materials science by providing a high-density format of data representation that can be visually interpreted or processed by the human brain in a fraction of a second. We have illustrated a few select examples- dewetting of polymers, combinatorial adhesion and cellular morphometrics that dealt with the aspects of image collection, image processing and analytical methodologies to define measurable descriptors. Some of the challenges encountered in image processing at the materials interface were discussed and simple solutions were offered. The hope is that such illustrations will inspire common theme development for collective advancement of high-throughput imaging techniques from research in the fundamental phenomenological physics to in-situ imaging of cellular development in tissue engineered constructs.
Image Analysis for High-Throughput Materials Science
Publisher Info
Book Chapter ,


adhesion, biomaterials, combinatorial, dewetting, gradient libraries, high-throughput, image analysis, informatics, materials science


Karim, A. , Sehgal, A. , Meredith, J. , Crosby, A. and Amis, E. (2008), Image Analysis for High-Throughput Materials Science, Book Chapter , (Accessed April 16, 2024)
Created October 16, 2008