Numerical characterization of AFM images of self-structured surface textures
Results obtained showed that, for the isotropic surfaces, the ABRG method is not considerably affected (i.e. <5%) by image resolution, tip size (for surfaces with large motifs) and noise levels lower than 9%. On the other hand, for anisotropic surfaces, the effects were much stronger (i.e. -34%)....
| Main Authors: | , , |
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| Format: | Conference Paper |
| Published: |
Politecnico di Torino (DIMEAS)
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/8013 |
| _version_ | 1848745534113710080 |
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| author | Wolski, M. Podsiadlo, P. Stachowiak, Gwidon |
| author_facet | Wolski, M. Podsiadlo, P. Stachowiak, Gwidon |
| author_sort | Wolski, M. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Results obtained showed that, for the isotropic surfaces, the ABRG method is not considerably affected (i.e. <5%) by image resolution, tip size (for surfaces with large motifs) and noise levels lower than 9%. On the other hand, for anisotropic surfaces, the effects were much stronger (i.e. -34%). This indicates that ABRG method can be effective in the analysis of AFM images of self-structured surface textures. However, precautions should be taken when analyzing AFM images of surface textures with small motifs and/or anisotropy. The results also showed that the ABRG method is able to quantify changes in surface roughness occurring during the formation of photoinduced textures. Thus, the method has a potential to become a valuable tool in analyzing formation process of self-structured surfaces. |
| first_indexed | 2025-11-14T06:18:53Z |
| format | Conference Paper |
| id | curtin-20.500.11937-8013 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:18:53Z |
| publishDate | 2014 |
| publisher | Politecnico di Torino (DIMEAS) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-80132017-01-30T11:03:59Z Numerical characterization of AFM images of self-structured surface textures Wolski, M. Podsiadlo, P. Stachowiak, Gwidon Results obtained showed that, for the isotropic surfaces, the ABRG method is not considerably affected (i.e. <5%) by image resolution, tip size (for surfaces with large motifs) and noise levels lower than 9%. On the other hand, for anisotropic surfaces, the effects were much stronger (i.e. -34%). This indicates that ABRG method can be effective in the analysis of AFM images of self-structured surface textures. However, precautions should be taken when analyzing AFM images of surface textures with small motifs and/or anisotropy. The results also showed that the ABRG method is able to quantify changes in surface roughness occurring during the formation of photoinduced textures. Thus, the method has a potential to become a valuable tool in analyzing formation process of self-structured surfaces. 2014 Conference Paper http://hdl.handle.net/20.500.11937/8013 Politecnico di Torino (DIMEAS) restricted |
| spellingShingle | Wolski, M. Podsiadlo, P. Stachowiak, Gwidon Numerical characterization of AFM images of self-structured surface textures |
| title | Numerical characterization of AFM images of self-structured surface textures |
| title_full | Numerical characterization of AFM images of self-structured surface textures |
| title_fullStr | Numerical characterization of AFM images of self-structured surface textures |
| title_full_unstemmed | Numerical characterization of AFM images of self-structured surface textures |
| title_short | Numerical characterization of AFM images of self-structured surface textures |
| title_sort | numerical characterization of afm images of self-structured surface textures |
| url | http://hdl.handle.net/20.500.11937/8013 |