51. Noise-free simulation of an FT-IR imaging hyperspectral dataset of pancreatic biopsy core bound by experiment
- Author
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Tomasz P. Wrobel, Czesława Paluszkiewicz, Danuta Liberda, Paulina Koziol, Magda K. Raczkowska, and Wojciech M. Kwiatek
- Subjects
Statistics and Probability ,Data Descriptor ,Computer science ,Biopsy ,Noise reduction ,02 engineering and technology ,Signal-To-Noise Ratio ,Library and Information Sciences ,01 natural sciences ,Signal ,Education ,Set (abstract data type) ,Distortion ,Spectroscopy, Fourier Transform Infrared ,Humans ,Computer Simulation ,lcsh:Science ,Pancreas ,Noise (signal processing) ,business.industry ,010401 analytical chemistry ,Imaging and sensing ,Experimental data ,Hyperspectral imaging ,Pattern recognition ,021001 nanoscience & nanotechnology ,0104 chemical sciences ,Computer Science Applications ,Metadata ,lcsh:Q ,Cancer imaging ,Artificial intelligence ,Statistics, Probability and Uncertainty ,0210 nano-technology ,business ,Information Systems - Abstract
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., Measurement(s)pancreasTechnology Type(s)Fourier transform infrared spectroscopy • hyperspectral imagingFactor Type(s)nucleic acid • protein • lipid • wavelength • noise Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.9959129
- Published
- 2019