scanning-electron-microscopy

A Computer Vision-Based Tool for Automatic Segmentation and Size Analysis of Nanoparticles in Scanning Electron Microscope (SEM) and Transmission Electron Microscope (TEM) Images

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.

Beatrice the (Carpenter) Bee's website.

Collected reports from my advanced lab course at HU Berlin

📚 Coursework for "Building Materials" (34730082)

Machine learning pipeline for entropy-based compositional homogeneity screening of mechanically alloyed AlCoCrFeNi HEA particles using SEM–EDS data.

Domain Ontology for Microscopy (DOM)

Research-grade PyTorch framework for restoring degraded low-dose SEM images using NAFNet, with emphasis on noise reduction, structural fidelity, and semiconductor defect inspection.