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Archived Webinars

Dr. Stanislav I. Leesment

Data Processing and Representation in Atomic Force Microscopy

The webinar took place on May 25, 2016.

Images in Atomic Force Microscopy usually contain a number of specific distortions and artifacts. Correct way of AFM Data processing and its representation is very important for further quantitative analysis.
During the webinar we go through various examples of common image processing procedures such as flattening, filtering, etc. and show the ways of perceptual data representation. 

Webinar Presentation

Demo data file

Image Analysis 3.5 download link


Dr. Sergei Magonov

Compositional imaging of complex materials with atomic force microscopy

The webinar took place on 26 April, 2016 

Webinar Synopsis:

Recognition of individual constituents of complex materials with Atomic Force Microscopy (AFM) at small scales is one of important functions of this characterization technique. Visualization of specific structures and their dimensions is only first step in compositional mapping with AFM. The value of compositional imaging is substantially enhanced with development of AFM-related techniques for qualitative and quantitative measurements of local mechanical, electric and dielectric properties. Furthermore, the emerging efforts in combining of AFM with spectroscopic techniques (Raman and IR) are adding the invaluable chemical identification of species of multi-component materials.

All mentioned techniques are implemented in NT-MDT microscopes, which have a most broad range of core AFM modes (contact mode, non-resonant oscillatory Hybrid mode, amplitude modulation modes with phase and frequency imaging and frequency modulation mode). The related capabilities of AFM compositional imaging will be demonstrated on variety of materials (metals, semi-conductors, organic compounds, polymers, etc). Main discussion points will include sensitivity and selectivity of compositional mapping as well as spatial resolution and complementary nature of different techniques. Particularly, we will provide examples of quantitative mapping of elastic modulus and surface potential with nanometer scale resolution and will discuss the applicability of spectroscopic measurements. 


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