Automated Image Processing Tools for High Throughput Measurements of Polymer Coatings: Initial Report on Software to Quantify Features
Isabel M. Beichl, J. Bernstein, A Karim
We have developed a series of Matlab programs to analyze photographs of polymer dewetting. This report provides details of how the programs work, what they do, and how users can fine tune the output. Meredith, Smith, Karim and Amis have developed a method to gather massive amounts of data on the dewetting process for polymers, by using a combinatorial approach to data collection. These data, produced by automated microscopy, are collected in the form of photographs of polymers varying the parameters of temperature, thickness and time. The purpose of the tools described in this report is to identify features of the dewetting process and to quantify the features without having a human doing the feature recognition or the counting. The volume of the data makes human processing utterly impractical. In this report we describe methods used on photographs of three stages of dewetting. This report is preliminary. A set of tools to automate the analysis of the photographic images completely, without regard to the state of dewetting, is the ultimate goal.
, Bernstein, J.
and Karim, A.
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 December 4, 2023)