Results 171 to 180 of about 930,547 (198)

Deep-Learning-Driven High-Fidelity In Vivo Hyperspectral Fluorescence Imaging Under Extreme Photon-Limited Conditions. [PDF]

Adv Sci (Weinh)
Li R, Wu S, Li K, An Z, Ben Y, Li G, Kumar S, Mcginty J, Hasan T, Fu S, Zhang M, Chen L.   +11 more
europepmc   +1 more source

Analysis of Waste Polymer Composition by a Simple Device for Raman Spectra Decomposition. [PDF]

Polymers (Basel)
Militký J, Kupka K, Křemenáková D, Venkataraman M.   +3 more
europepmc   +1 more source

A dual-modality workflow for quantifying microvascular structure in human temporal lobe epilepsy. [PDF]

IBRO Neurosci Rep
Xu Z, Tempeli V, Hartjes S, Kotenko A, Hoogland G, Haeren RHL, Schijns OEMG, van Lanen RHGJ, van Zandvoort MAMJ, Rijkers K, Kapsokalyvas D, ACE Epilepsy Surgery group.   +11 more
europepmc   +1 more source

Label-free biochemical imaging and time point analysis of neural organoids via deep learning-enhanced Raman microspectroscopy. [PDF]

Sci Adv
Georgiev D, Xie R, Reumann D, Zhao X, Fernández-Galiana Á, Barahona M, Stevens MM.   +6 more
europepmc   +1 more source

PrismaLuc luciferase enables tunable near-infrared bioluminescence for <i>in vivo</i> imaging. [PDF]

RSC Chem Biol
Gama-Franceschi F, Ohana RF, Gao C, Kirkland T, Mezzanotte L.   +4 more
europepmc   +1 more source

Diffusion-Model-Based Hyperspectral Unmixing Using Spectral Prior Distribution

IEEE Transactions on Geoscience and Remote Sensing
Hyperspectral unmixing is a crucial task for identifying the constituent materials and their respective distributions in a scene. Utilizing known spectral libraries as prior information, semi-blind unmixing methods (also known as spectral-library-based ...
Jun Zhou, Yuntao Qian, Jie Nie
exaly   +2 more sources

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SSCU-Net: Spatial–Spectral Collaborative Unmixing Network for Hyperspectral Images

IEEE Transactions on Geoscience and Remote Sensing, 2022
Junyu Dong, Qian Du, Feng Gao
exaly