Methods for Interpreting Raman Microscope Images

2019-2020 Summer
Faculty Department of Project Supervisor: 
Faculty of Engineering and Natural Sciences
Number of Students: 

When we record images in the scanning transmission electron microscope (STEM), we are recording the distribution of scattered electron intensity. The intensity contrast can be directly correlated to features in the specimen that are generating the scattering. In this project, we will apply known methods for interpreting image contrast, particularly from atom-resolved images. We will additionally develop structural models that will serve as the input for image simulations.

Related Areas of Project: 
Materials Science ve Nano Engineering

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