This program is designed to analyze Scanning Electron Microscope (SEM) images, specifically images of superconducting quantum devices. It uses the Segment Anything library from Meta to identify and segment objects in the image.

3D surface reconstruction from multi-detector SEM/BSE images

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

Analysis of OCV, I-V, P-I curves, and Nyquist plots for SOFC and SOEC modes with SEM imaging.

A Structural Equation Modeling Analysis Tool in Python

Jython script templates for DTSA-II for simulating energy-dispersive x-ray spectroscopy (EDS)

Quickly stop all Google Ads advertising

Interactive Streamlit app that runs over 15 causal discovery algorithms with method recommendation and bootstrap confidence graphs.

THis python codes uses the contour with same illumination to form a point cloud data in .xyz format.

Compute the half-value versed sine.

Automated Electron Microscopy X-Ray Spectroscopy for Compositional Characterization of Materials. Currently supporting SEM EDS.

Compute the half-value versed sine of a single-precision floating-point number (in radians).

Создание синтетического датасета на основе cимуляции свойств физики SEM

This project implements defect detection in semiconductor SEM images of flat, linear and patterned structures using Fast MCD method

🧠 Run over 15 causal discovery algorithms locally with Causal App, an easy-to-use tool built on Streamlit for effective causal analysis.

Remote monitoring of the performance and health metrics of electron microscopes

A tool to batch process SEM output photomicrographs for import into QGIS