SurfaceScience21 – wissenschaftliches Programm
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O: Fachverband Oberflächenphysik
O 104: Poster Session VIII: Scanning probe techniques: Method development III
O 104.5: Poster
Donnerstag, 4. März 2021, 13:30–15:30, P
Statistical analysis of AFM images of nanofiber mats by grey-scale resolved Hurst exponent distributions — •Tomasz Blachowicz1, Krzysztof Domino2, Michal Koruszowic1, Jacek Grzybowski3, and Andrea Ehrmann4 — 1Silesian University of Technology, Institute of Physics - Centre for Science and Education, Gliwice, Poland — 2Polish Academy of Sciences, Institute of Theoretical and Applied Informatics, Gliwice, Poland — 3Silesian University of Technology, Faculty of Automatic Control, Electronics and Computer Science, Gliwice, Poland — 4Bielefeld University of Applied Sciences, Faculty of Engineering and Mathematics, Bielefeld, Germany
Two-dimensional periodic or random structures can be classified by diverse methods. Nevertheless, quantitative descriptions of such surfaces are still problematic. While the statistical analysis of periodic fibrous structures by Hurst exponent distributions was suggested some years ago [1], the quantitative analysis of atomic force microscopy (AFM) images of nanofiber mats was only recently described [2]. Here we present the influence of typical AFM image post-processing steps, such as polynomial background subtraction, aligning rows, deleting horizontal errors or sharpening, on the grey-scale-resolved Hurst exponent distribution. Our results show that while characteristic features of these false-color images may be shifted by grey-channel and Hurst exponent, they can still be used to identify AFM images and, in the next step, to quantitatively describe AFM image of nanofibrous surfaces.
[1] T. Blachowicz et al., Physica A 452, 167-177 (2016)
[2] T. Blachowicz et al., Tekstilec 63, 104-112 (2020)