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pycroscopy

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pycroscopy is a python package for generic (domain-agnostic) microscopy data anlaysis. More specialized or domain-specific analysis routines are contained within some of the other packages within the pycroscopy ecosystem.

Please visit our homepage for more information and installation instructions.

If you use pycroscopy for research, we would appreciate if you could cite our Arxiv paper titled "USID and Pycroscopy - Open frameworks for storing and analyzing spectroscopic and imaging data"

pycroscopy's Projects

aicrystallographer icon aicrystallographer

Here, we will upload our deep/machine learning models and 'workflows' (such as AtomNet, DefectNet, SymmetryNet, etc) that aid in automated analysis of atomically resolved images

atomai icon atomai

Deep and Machine Learning for Microscopy

bglib icon bglib

Band Excitation and General Mode microscopy analytics software

distusid icon distusid

Development of distributed framework for USID processing

ml_summer_course icon ml_summer_course

This is a repository setup for the Machine Learning in Microscopy Virtual Summer School

papers icon papers

HTML exports of scientific journal papers published using pycroscopy

pycroscopy icon pycroscopy

Scientific analysis of nanoscale materials imaging data

pynsid icon pynsid

Utilities for facilitating the storage, access, and visualization of NSID data

pytemlib icon pytemlib

TEM data quantification library through a model-based approach

pyusid icon pyusid

Framework for storing, visualizing, and processing Universal Spectroscopic and Imaging Data (USID)

scifireaders icon scifireaders

Tools for extracting data and metadata from scientific data files

sidpy icon sidpy

Python utilities for storing, processing, and visualizing spectroscopic and imaging data

spm_ml_school_2021 icon spm_ml_school_2021

Virtual School โ€“ โ€œMachine Learning and Automated Experiment in Scanning Probe Microscopy" at ORNL, October 4-7, 2021

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