scanning-electron-microscope

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.

MATLAB based Simulation of probe formation and imaging in modern field emission SEMs based on electron wave optics

Graphical user interface that allows for processing and indexing of electron backscatter patterns, generated by scanning electron microscopes.

A flexibility upgrade for multi-channel scanning transmission electron microscopy

Nanoscale Microscopy Images Colourisation Using Neural Networks

A locally-hosted AI research platform for Physics/STEM labs — MCP tool servers for spectroscopy, XRD, SEM, literature search, and OriginLab automation, built on Open WebUI with AMD ROCm.

Kernel Average Misorientation Analysis of EBSD Patterns

2022 Samsung AI Challenge (3D Metrology) 1st place Solution

Electron optics simulation and design

Alignment tool for SECM and SEM images

SEM 이미지 측정·논문 Figure 제작 도구 (Streamlit) | Interactive SEM image measurement & figure-prep tool

Drift-Sense solves the Navigation-Error Recovery problem. By utilizing a hybrid architecture of classical vision (NCC) and a lightweight Siamese CNN ranker, it accurately matches high-resolution reference patterns against noisy, low-resolution SEM images without heavy transformers.

Computer Assisted Segmentation Tool Environment Revisit

Beatrice the (Carpenter) Bee's website.

Drift-Sense solves the Navigation-Error Recovery problem. By utilizing a hybrid architecture of classical vision (NCC) and a lightweight Siamese CNN ranker, it accurately matches high-resolution reference patterns against noisy, low-resolution SEM images without heavy transformers.

Contrast enhancement of SEM images

Image processing for SEM using machine learning. Adapted from https://github.com/bnsreenu/python_for_microscopists

Documentation for the ISI Model SMS-2-I Super I Scanning Electron Microscope

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.

Analysis of electron backscatter diffraction (EBSD) patterns of five phases from an Al-steel joint