19 skills found
cheminfo / NmriumReact component to display and process nuclear magnetic resonance (NMR) spectra.
cgrundman / Nuclear Magnetic ResonanceIntroduction to NMR Technology
aromanro / NMRI2D Fourier Transform of Nuclear Magnetic Resonance Imaging raw data, 3D visualization with VTK
PRLab-FAU / Mt Lecture SlidesThese are the lecture slides used at FAU Erlangen-Nuremberg, Germany for the lecture "Medical Engineering". This class gives a complete and comprehensive introduction to the fields of medical imaging systems, as designed for a broad range of applications. The authors of the book first explain the foundations of system theory and image processing, before highlighting several modalities in a dedicated chapter. The initial focus is on modalities that are closely related to traditional camera systems such as endoscopy and microscopy. This is followed by more complex image formation processes: magnetic resonance imaging, X-ray projection imaging, computed tomography, X-ray phase-contrast imaging, nuclear imaging, ultrasound, and optical coherence tomography. Open Access Link to the Text Book: https://link.springer.com/book/10.1007/978-3-319-96520-8#about Link to Video Recordings on YouTube: https://www.youtube.com/watch?v=vvftvjnXzsY&list=PLpOGQvPCDQzsgK1XuhUXO8r9M4WRqhvDf
MoseleyBioinformaticsLab / MwtabThe mwtab package is a Python library that facilitates reading and writing files in mwTab format used by the Metabolomics Workbench for archival of Mass Spectrometry (MS) and Nuclear Magnetic Resonance (NMR) experimental data.
manjunath5496 / Nuclear Magnetic Resonance Books"For magnetic fields that can be routinely produced in the laboratory, the transitions between energy levels for nuclear magnetic dipoles occur in the radio-frequency range, and the transitions between energy levels for unpaired electron spins occur in the microwave range. Nuclear magnetic resonance (NMR) and electron paramagnetic resonance (EPR) yield such valuable structural information that they have become indispensable in chemistry."― Robert J. Silbey
pnnl / NmrfitQuantitative NMR analysis through least-squares fit of spectroscopy data
BDomzal / MagnetsteinTools for quantitative analysis of nuclear magnetic resonance (NMR) spectra using the Wasserstein metric.
aris-mav / NMRInversions.jlNumerical inversion package for time-domain Nuclear Magnetic Resonance (NMR) relaxation and diffusion experiments. Click on the link below for the full documentation.
devalab / DeepSPInNA framework that predicts the molecular structure when given Infrared and 13C Nuclear magnetic resonance spectra without referring to any pre-existing spectral databases or molecular fragment knowledge bases
MetaSys-LISBP / PhysioFitEstimation of extracellular fluxes and growth rate
ohgo1977 / ProductOperator PythonCalculation of Product Operator for Nuclear Magnetic Resonance Spectroscopy Using Python
pablo-unzueta / Dml Nmrdml-nmr, python scripts for nuclear magnetic resonance machine learning
ARTS-Laboratory / Compact NMRA compact Time-Domain Nuclear Magnetic Resonance (TD-NMR) system.
diwakrZha / Fast NMR Simulation On 3D ImagesCalculate Nuclear Magnetic Resonance response in a custom 3D geometry.
bennomeier / SpindataSpindata provides the gyromagnetic ratio, spin and quadrupole moments of nuclei as needed in Nuclear Magnetic Resonance.
mmpetke / MRSmatlabProcessing, modelling and inversion of surface nuclear magnetic resonance data sets
sametz / PydnmrSimulation of Dynamic Nuclear Magnetic Resonance (DNMR) spectra (beta v0.5.0)
chatcannon / NmrpcaPrincipal Component Analysis for Nuclear Magnetic Resonance Spectrometry data
