Noise-free simulation of an FT-IR imaging hyperspectral dataset of pancreatic biopsy core bound by experiment.

Tomasz P WrobelPaulina KoziolMagda K RaczkowskaDanuta LiberdaCzeslawa PaluszkiewiczWojciech M Kwiatek

Published in: Scientific data (2019)

A noise-free hyperspectral FT-IR imaging dataset of a pancreatic tissue core was simulated based on experimental data that allows to test the performance of various data analysis and processing algorithms. A set of experimental noise levels was also added and used for denoising approaches comparison, which due to the noise-free reference signal enables to truly observe signal distortion caused by different approaches.

Keyphrases

data analysis
air pollution
high resolution
machine learning
deep learning
mass spectrometry
artificial intelligence
convolutional neural network
fine needle aspiration