We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Scientific analysis of nanoscale materials imaging data
Jupyter Notebook 257 73
Deep and Machine Learning for Microscopy
Python 197 41
TEM data quantification library through a model-based approach
Jupyter Notebook 17 9
Band Excitation and General Mode microscopy analytics software
Jupyter Notebook 3 5
Tools for extracting data and metadata from scientific data files
Jupyter Notebook 13 13
Python utilities for storing, processing, and visualizing spectroscopic and imaging data
Jupyter Notebook 12 14
Utilities for facilitating the storage, access, and visualization of NSID data
Digital Twin Microscope
A single package for analyzing atomic resolution STEM, 4D-STEM and STEM-EELS datasets, along with basic STEM simulation functionality
Loading…