Kernel Average Misorientation Analysis of EBSD Patterns
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Updated
Dec 24, 2019 - MATLAB
Kernel Average Misorientation Analysis of EBSD Patterns
Nanoscale Microscopy Images Colourisation Using Neural Networks
Computer Assisted Segmentation Tool Environment Revisit
2022 Samsung AI Challenge (3D Metrology) 1st place Solution
Analysis of electron backscatter diffraction (EBSD) patterns of five phases from an Al-steel joint
Using deep learning methods to recognize and measure silica spheres in SEM pictures.
MATLAB based Simulation of probe formation and imaging in modern field emission SEMs based on electron wave optics
A Java/Processing implementation of the marching cubes algorithm, including normal averaging. A sequence of binary .png files can be provided to show a 3D render of the resulting polygon.
A flexibility upgrade for multi-channel scanning transmission electron microscopy
Demonstrative implementation of a 3D reconstruction and automatic segmentation routine in Python which can be applied to SEM image sequences of particle-like specimens. The image sequences can be acquired by tilting the SEM's stage. More details about the theory underlying are elucidated in Töberg et al.
Image processing for SEM using machine learning. Adapted from files by https://github.com/bnsreenu/python_for_microscopists
Alignment tool for SECM and SEM images
Graphical user interface that allows for processing and indexing of electron backscatter patterns, generated by scanning electron microscopes.
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