Though AFM is capable of obtaining sub-angstrom resolution in z-direction, the accurate height measurement of protruding particles is hindered by raster nature of this technique. In this work using Monte Carlo simulations we have quantified the influence of pixelization on the mean AFM apparent height (h) of spheres and cylinders. We have demonstrated that for a zero size AFM probe h may be increasing, decreasing function of a pixel size, or has more complex character depending on the standard deviation of a particle size. Therefore, AFM pixelization effects may induce both under- and overestimation of the true diameter. The observed complex behavior of h is explained by interplay of two opposing factors: the mismatch of the position of the "highest" pixel to the real topographical maximum and higher registration probabilities of larger particles. Consideration of the AFM probe size results in even bigger pixelization induced drops of h, which may amount to ∼50% of the true value. The obtained results contribute to AFM data interpretation and methodological aspects of AFM operation in many fields of nanoscience. In particular, they may be used for estimation of true height of nanoparticles from their AFM images obtained with different (even low) pixel resolution.
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http://dx.doi.org/10.1016/j.ultramic.2019.112846 | DOI Listing |
Photoacoustics
February 2025
School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China.
Photoacoustic tomography (PAT) enables non-invasive cross-sectional imaging of biological tissues, but it fails to map the spatial variation of speed-of-sound (SOS) within tissues. While SOS is intimately linked to density and elastic modulus of tissues, the imaging of SOS distribution serves as a complementary imaging modality to PAT. Moreover, an accurate SOS map can be leveraged to correct for PAT image degradation arising from acoustic heterogeneities.
View Article and Find Full Text PDFComput Biol Med
January 2025
University of Rwanda, Rwanda. Electronic address:
Deep learning methods have significantly improved medical image analysis, particularly in detecting COVID-19 chest X-rays. Nonetheless, these methodologies frequently inhibit some drawbacks, such as limited interpretability, extensive computational resources, and the need for extensive datasets. To tackle these issues, we introduced two novel algorithms: the Dynamic Co-Occurrence Grey Level Matrix (DC-GLM) and the Contextual Adaptation Multiscale Gabor Network (CAMSGNeT).
View Article and Find Full Text PDFCarbohydr Polym
March 2025
Plant Fiber Material Science Research Center, State Key Laboratory of Pulp and Paper Engineering, School of Light Industry and Engineering, South China University of Technology, Guangzhou 510640, China; Guangdong Provincial Key Laboratory of Plant Resources Biorefinery, No. 100, West Outer Ring Road, Guangzhou University Town, Panyu District, Guangzhou 510006, China.
Ancient documents and artworks are invaluable cultural heritage artworks that require careful preservation. Traditional methods for assessing their physical and chemical properties-such as tearing index, tensile index, water absorption, and pH-are often destructive, risking irreversible damage. This study introduces a novel, non-destructive approach using Short-Wave Near-Infrared (SWNIR) hyperspectral imaging (HSI) combined with advanced machine learning models.
View Article and Find Full Text PDFLight Sci Appl
January 2025
Institute of Modern Optics, Nankai University, Tianjin Key Laboratory of Micro-scale Optical Information Science and Technology, Tianjin, 300350, China.
A stacked metamaterial MEMS (meta-MEMS) chip is proposed, which can perfectly absorb electromagnetic waves, convert them into mechanical energy, drive movement of the optical micro-reflectors array, and detect millimeter waves. It is equivalent to using visible light to image a millimeter wave. The meta-MEMS adopts the design of upper and lower chip separation and then stacking to achieve the "dielectric-resonant-air-ground" structure, reduce the thickness of the metamaterial and MEMS structures, and improve the performance of millimeter wave imaging.
View Article and Find Full Text PDFJ Prosthet Dent
January 2025
Principal, Dr. Ambedkar Institute of Technology, Bangalore, India.
Statement Of Problem: The evaluation of incisal translucency in anterior teeth greatly influences esthetic treatment outcomes. This evaluation is mostly subjective and often overlooked among dental professionals. The application of artificial intelligence-based models to detect the incisal translucency of anterior teeth may be of value to dentists in their restorative dental practice, but studies are lacking.
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