Improving the contrast of topographical AFM images by a simple averaging filter
| Autor: | Theeraporn Puntheeranurak, C. Riethmueller, Christian Rankl, Gerald Kada, Ferry Kienberger, Lilia A. Chtcheglova, Andreas Ebner, Vassili Pastushenko, Peter Hinterdorfer |
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| Rok vydání: | 2006 |
| Předmět: |
Materials science
Rhinovirus media_common.quotation_subject Image processing Microscopy Atomic Force Flattening Cell Line Mice Optics Cricetinae Sliding window protocol Microscopy Animals Humans Contrast (vision) Computer vision Instrumentation Cytoskeleton media_common business.industry Micropore Filters Filter (signal processing) Image Enhancement Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Line (geometry) Artificial intelligence business Smoothing |
| Zdroj: | Ultramicroscopy. 106:822-828 |
| ISSN: | 0304-3991 |
| DOI: | 10.1016/j.ultramic.2005.11.013 |
| Popis: | New image-processing methods were applied to atomic force microscopy images in order to visualize small details on the surface of virus particles and living cells. Polynomial line flattening and plane fitting of topographical images were performed as first step of the image processing. In a second step, a sliding window approach was used for low-pass filtering and data smoothing. The size of the filtering window was adjusted to the size of the small details of interest. Subtraction of the smoothed data from the original data resulted in images with enhanced contrast. Topographical features which are usually not visible can be easily discerned in the processed images. The method developed in this study rendered possible the detection of small patterns on viral particles as well as thin cytoskeleton fibers of living cells. It is shown that the sliding window approach gives better results than Fourier-filtering. Our method can be generally applied to increase the contrast of topographical images, especially when small features are to be highlighted on relatively high objects. |
| Databáze: | OpenAIRE |
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