A Python library of algorithms for the baseline correction of experimental data.
SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python
🌈 A collaborative list of awesome tools for spectroscopy. Also, check:
Python package for reading Bruker OPUS files.
A python package for communicating with Bruker OPUS spectroscopy software and reading its binary file format.
JASCO file to text file converter
Read Nicolet/Thermo Omnic files on python (.spa).
Analyze spectroscopy data using tidy-data philosophy
Explainable Detection of Microplastics using Transformer Neural Networks. Includes codes for a classification transformer aimed at classifying microplastic FTIR data.
Jupyter Notebooks for spectroscopic data processing
Python package for working with spectral data. !!The project has been moved!!
Open-source FTIR software featuring a beginner-friendly graphical interface for publication-quality spectrum processing, analysis, automated peak assignment, and visualization. Designed for reproducible scientific research.
Jupyter notebook fitting reflectance and transmittance curves of unknown thin film on substrate obtained by Fourier Transform Infrared Spectroscopy to Lorentz and Brendel-Bormann oscillator models respectively
QUIDDIT is a software tool for automated processing of diamond IR spectra
Convert many binary format OPUS files to .dpt (Data Point Table) file format
This repository include the source codes for "AutoFTIR", an FTIR analysis tool, developed by Asphalt Binder and Mixture Laboratory (ABML) at Turner-Fairbank Highway Research Center (TFHRC). AutoFTIR provides GUI to facilitate the analysis of asphalt binder FTIR spectrum and serves as a database for storing the results.
The scripts contained in this repository relate directly to the work conducted by the Tree Root Microbiome Project (TRMP) led by Dr Steve Wakelin.
A simple GUI tool to plot FTIR (Fourier transform infrared) spectroscopy data.
SpecXY is a user-friendly software solution for preparing, editing, extracting and comparing (spatially resolved) spectral datasets
Add a description, image, and links to the ftir topic page so that developers can more easily learn about it.
To associate your repository with the ftir topic, visit your repo's landing page and select "manage topics."