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Automated Image Processing Tools for High Throughput Measurements of Polymer Coatings; Initial Report on Software to Quantify Features

Published

Author(s)

Isabel M. Beichl, J B. Bernstein, Alamgir Karim

Abstract

We have developed a series of Matlab programs to analyze photographs of polymer dewetting. This internal report provides details of how the program works, what they do, and how users can fine tune the output. Recently, the combinatorial dewetting studies of polymer thin films were published by NIST researchers. The dewetting data were produced by automated microscopy and collected in the form of images of polymers films subject to variations of temperature, thickness and time. In this report we describe methods used on images for three stages of dewetting. It involves tools for feature recognition, thresholding and data cleaning, geometric characterization of dewetting holes, and Voronoi cells analysis for late stage dewetting.
Citation
NIST Interagency/Internal Report (NISTIR) - 6869
Report Number
6869

Keywords

combinatorial dewetting, datamining, feature recognition, image analysis, matlab program, thresholding

Citation

Beichl, I. , Bernstein, J. and Karim, A. (2021), Automated Image Processing Tools for High Throughput Measurements of Polymer Coatings; Initial Report on Software to Quantify Features, NIST Interagency/Internal Report (NISTIR), National Institute of Standards and Technology, Gaithersburg, MD (Accessed April 17, 2024)
Created October 12, 2021