Increasing the value of atomic force microscopy process metrology using a high-accuracy scanner, tip characterization, and morphological image analysis

1996 ◽  
Vol 14 (2) ◽  
pp. 1540 ◽  
Author(s):  
J. Schneir
Keyword(s):  
Atomic Force Microscopy ◽  
Image Analysis ◽  
High Accuracy ◽  
Force Microscopy ◽  
Atomic Force ◽  
Morphological Image Analysis ◽  
Morphological Image

scholarly journals Gloss phenomena and image analysis of atomic force microscopy in molecular and cell biology

Scanning ◽  
2009 ◽  
Vol 31 (2) ◽  
pp. 49-58 ◽  
Author(s):  
Jie Zhu ◽  
Tanya Sabharwal ◽  
Lianhong Guo ◽  
Aruna Kalyanasundaram ◽  
Guodong Wang
Keyword(s):  
Atomic Force Microscopy ◽  
Image Analysis ◽  
Cell Biology ◽  
Force Microscopy ◽  
Atomic Force

Microdispersion of Carbon Blacks in Rubber, Part I: Some Quantitative Aspects by AFM Image Analysis

2006 ◽  
Vol 79 (5) ◽  
pp. 783-789 ◽  
Author(s):  
C. C. Wang ◽  
S. H. Wu ◽  
J. B. Donnet ◽  
T. K. Wang
Keyword(s):  
Particle Size ◽  
Atomic Force Microscopy ◽  
Image Analysis ◽  
Force Microscopy ◽  
Carbon Blacks ◽  
Surface Fraction ◽  
Atomic Force ◽  
Distance Distributions ◽  
Rubber Part ◽  
Afm Image

Abstract The microdispersion state of carbon blacks in an emulsion SBR matrix has been observed by atomic force microscopy (AFM) and the images analyzed quantitatively. The fillers were well dispersed in the rubber samples. Different parameters, such as the surface fraction of fillers in images, particle size distance distributions, have been extracted and the main results are presented.

scholarly journals Assessment of the Scales of Gilthead Seabream (Sparus aurata L.) by Image Analysis and Atomic Force Microscopy

Fishes ◽  
2018 ◽  
Vol 3 (1) ◽  
pp. 9
Author(s):  
Francisco Casado ◽  
Santiago Casado ◽  
Diana Ceballos-Francisco ◽  
María Esteban
Keyword(s):  
Atomic Force Microscopy ◽  
Image Analysis ◽  
Sparus Aurata ◽  
Gilthead Seabream ◽  
Force Microscopy ◽  
Atomic Force

scholarly journals Structural identification of individual helical amyloid filaments by integration of cryo-electron microscopy-derived maps in comparative morphometric atomic force microscopy image analysis

2021 ◽  
Author(s):  
Liisa Lutter ◽  
Youssra Al-Hilaly ◽  
Christopher J. Serpell ◽  
Mick F. Tuite ◽  
Claude M. Wischik ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Atomic Force Microscopy ◽  
Image Analysis ◽  
Structural Analysis ◽  
Amyloid Fibrils ◽  
Structural Identification ◽  
Force Microscopy ◽  
Atomic Force ◽  
Cryo Electron Microscopy

The presence of amyloid fibrils is a hallmark of more than 50 human disorders, including neurodegenerative diseases and systemic amyloidoses. A key unresolved challenge in understanding the involvement of amyloid in disease is to explain the relationship between individual structural polymorphs of amyloid fibrils, in potentially mixed populations, and the specific pathologies with which they are associated. Although cryo-electron microscopy (cryo-EM) and solid-state nuclear magnetic resonance (ssNMR) spectroscopy methods have been successfully employed in recent years to determine the structures of amyloid fibrils with high resolution detail, they rely on ensemble averaging of fibril structures in the entire sample or significant subpopulations. Here, we report a method for structural identification of individual fibril structures imaged by atomic force microscopy (AFM) by integration of high-resolution maps of amyloid fibrils determined by cryo-EM in comparative AFM image analysis. This approach was demonstrated using the hitherto structurally unresolved amyloid fibrils formed in vitro from a fragment of tau (297-391), termed 'dGAE'. Our approach established unequivocally that dGAE amyloid fibrils bear no structural relationship to heparin-induced tau fibrils formed in vitro. Furthermore, our comparative analysis resulted in the prediction that dGAE fibrils are closely related structurally to the paired helical filaments (PHFs) isolated from Alzheimer's disease (AD) brain tissue characterised by cryo-EM. These results show the utility of individual particle structural analysis using AFM, provide a workflow of how cryo-EM data can be incorporated into AFM image analysis and facilitate an integrated structural analysis of amyloid polymorphism.

Subsurface Image Analysis of Plant Cell Wall with Atomic Force Microscopy

2013 ◽  
Vol 8 (2) ◽  
pp. 100-104
Author(s):  
Sahar Maghsoudy-Louyeh ◽  
Jeong Kim ◽  
Matthew Kropf ◽  
Bernhard Tittmann
Keyword(s):  
Atomic Force Microscopy ◽  
Cell Wall ◽  
Image Analysis ◽  
Plant Cell ◽  
Plant Cell Wall ◽  
Force Microscopy ◽  
Atomic Force

scholarly journals AI-based Atomic Force Microscopy Image Analysis Allows to Predict Electrochemical Impedance Spectra of Defects in Tethered Bilayer Membranes

2021 ◽  
Author(s):  
Tomas Raila ◽  
Tadas Penkauskas ◽  
Filipas Ambrulevičius ◽  
Marija Jankunec ◽  
Tadas Meskauskas ◽  
...  
Keyword(s):  
Atomic Force Microscopy ◽  
Image Analysis ◽  
Object Detection ◽  
Electrochemical Impedance ◽  
Specific Resistance ◽  
Phospholipid Bilayer ◽  
Physical Parameters ◽  
Bilayer Membranes ◽  
Force Microscopy ◽  
Atomic Force

Abstract Atomic force microscopy (AFM) image analysis of supported bilayers, such as tethered bilayer membranes (tBLMs) can reveal the nature of the membrane damage by pore-forming proteins and predict the electrochemical impedance spectroscopy (EIS) response of such objects. However, automated analysis involving pore detection in such images is often non-trivial and can require AI-based object detection techniques. The specific object-detection algorithm we used to determine the defect coordinates in real AFM images was a convolutional neural network (CNN). Defect coordinates allow to predict the EIS response of tBLMs populated by the pore-forming toxins using finite element analysis (FEA) modeling. We tested if the accuracy of the CNN algorithm affected the EIS spectral features sensitive to defect densities and other physical parameters of tBLMs. We found that the EIS spectra can be predicted sufficiently well, however, systematic errors of characteristic spectral points were observed and need to be taken into account. Importantly, the comparison of predicted EIS curves with experimental ones allowed to estimate important physical parameters of tBLMs such as the specific resistance of submembrane reservoir. This reservoir separates phospholipid bilayer from the solid support. We found that the specific resistance of the reservoir amounts to 10 4.25±0.10 Ω · cm which is approximately two orders of a magnitude higher compared to the specific resistance of the buffer bathing tBLMs studied in this work. We hypothesize that such effect may be related in part due to decreased concentration of ionic carriers in the submembrane due to decreased relative dielectric permittivity in this region.

Automated image analysis of atomic force microscopy images of rotavirus particles

2006 ◽  
Vol 106 (8-9) ◽  
pp. 829-837 ◽  
Author(s):  
S. Venkataraman ◽  
D.P. Allison ◽  
H. Qi ◽  
J.L. Morrell-Falvey ◽  
N.L. Kallewaard ◽  
...  
Keyword(s):  
Atomic Force Microscopy ◽  
Image Analysis ◽  
Automated Image Analysis ◽  
Force Microscopy ◽  
Atomic Force ◽  
Microscopy Images
Sign in / Sign up

Export Citation Format

Share Document