There are 1 repository under ftir topic.
SpectroChemPy is a framework for processing, analyzing and modeling spectroscopic data for chemistry with Python
A Python library of algorithms for the baseline correction of experimental data.
🌈 A collaborative list of awesome tools for spectroscopy. Also, check:
Python package for reading Bruker OPUS files.
Read Nicolet/Thermo Omnic files on python (.spa).
A python package for communicating with Bruker OPUS spectroscopy software and reading its binary file format.
Jupyter Notebooks for spectroscopic data processing
Explainable Detection of Microplastics using Transformer Neural Networks. Includes codes for a classification transformer aimed at classifying microplastic FTIR data.
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
Convert many binary format OPUS files to .dpt (Data Point Table) file format
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.
Code to accompany the "Metasurface-enhanced infrared spectroscopy in multiwell format for real-time assaying of live cells" (Labs on a chip, 2023) 10.1039/d3lc00017f
Example codes for photonic simulations, mostly in the mid-IR region (2 um-20 um), using various open source packages.
From the Lower Crust to the mantle: elastic properties, anisotropy, and water content of the Cabo Ortegal complex
This repository showcases a database of 10,000 generated IR spectrum samples of leukemia cases (N=5000) and healthy controls (N=5000). Only the fingerprint region (1800 cm^-1 to 850 cm^-1 at 4 cm^-1 resolution) was considered.
Processes FTIR spectra of natural organic matter by finding exact peak locations, baseline-correcting the peaks, and converting them to relative abundances.
SpecXY is a user-friendly software solution for preparing, editing, extracting and comparing (spatially resolved) spectral datasets
Determination of degree of substitution of cellulose acetate from raw ATR-FTIR data via machine learning
Data and results for an MPhil Thesis entitled "A morphological and chemical characterization of archaeological charred grain: with implications for isotopic analysis"