原子力显微镜作为测试生物医学样品和消除探针伪影的工具

L. Petrov, L. Matija
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引用次数: 1

摘要

扫描探针显微镜(SPM)是目前研究材料的组成、结构和性能最有前景的技术之一,它分别由扫描隧道显微镜(STM)和原子力显微镜(AFM)组成。该技术用于医学、药学、牙科、材料科学等领域的多学科研究,用于研究生物样品、化合物、制药产品、人工组织、植入材料以及所有其他对这些科学领域的应用具有纳米技术影响的材料。这是因为探针的尺寸和几何形状并不完美,这导致了人工制品的出现。它们被定义为出现在图像上而不存在于样品上的特征。这些由探针和样品之间的卷积引起的影响可以通过对地形数据的数学处理在一定程度上得到纠正。本文使用的方法是基于集合代数和数学形态学的基本工具。利用数学算法对针尖进行“盲重建”,然后利用反褶积方法检测样品表面无法实时扫描的部分。利用记录过程中固有的形态学限制,从图像中计算出真实探针尖端的极限。结果是在使用的图像中得到一个重建表面的图像,与真实尖端的重建。所提出的结果清楚地证明了原子力显微镜作为纳米级生物材料成像技术的可用性,并且所应用的算法增加了图像的可用性,因为它基于从处理图像中获得的精确数值数据得出了更好的结论。
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ATOMIC FORCE MICROSCOPY AS A TOOL FOR TESTING BIOMEDICAL SAMPLES AND ELIMINATION PROBE ARTIFACTS
One of the most perspective available techniques for investigation of the composition, structure and properties of materials, is scanning probe microscopy (SPM), respectively its components scanning tunneling microscopy (STM) and atomic force microscopy (AFM). This technique is used in multidisciplinary research in the field of medicine, pharmacy, dentistry, material science, etc., for study of biological samples, chemical compounds, pharmaceutical products, artificial tissues, implantology materials, and all other materials that have nanotechnological impact on application in these scientific fields. This is because the probes have not perfect size and geometry, which leads to the appearance of artifacts. They are defined as characteristics that appear on the image and are not present on the sample. These effects caused by convolutions between the probe and sample can be corrected to a certain extent by mathematical manipulation of topographic data. The methodology used in this paper is based on algebra of sets, and basic tools of mathematical morphology. Mathematical algorithms for the „blind reconstruction“ of the tip were used, and then in order to detect the parts of the sample surface which is not available in real-time scanning deconvolution was applied. The limit of the real probe tip is calculated from the image, using the morphological limitations inherent in the recording process. The result acuired as an image of the reconstructed surface out of the used images, with the reconstruction of the real tip. The presented results are clear proof of the usability of atomic force microscopy as a technique for imaging of biological materials on nano-level, and the applied algorithms increase the usability of the images in terms of a better conclusion based on precise numerical data taken from the processed images.
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