Results 91 to 100 of about 6,602 (196)

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, Volume 2, Issue 4, August 2026.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

DMAE-HU: A novel deep multitasking autoencoder for hybrid hyperspectral unmixing in remote sensing

ICT Express
Hyperspectral unmixing (HU) is crucial for extracting material information from hyperspectral images (HSI) obtained through remote sensing. Although linear unmixing methods are widely used due to their simplicity, they only address linear mixing effects.
Suresh Aala, Prudhvi Krishna Pavuluri, Anuj Deshpande, Sravan Kumar Sikhakolli, Karthikeyan Elumalai, Sunil Chinnadurai, Eswar Panchakarla, Md. Abdul Latif Sarker, Dong Seog Han   +8 more
doaj   +1 more source

AutoUnmix: an autoencoder-based spectral unmixing method for multi-color fluorescence microscopy imaging. [PDF]

Biomed Opt Express, 2023
Jiang Y, Sha H, Liu S, Qin P, Zhang Y.
europepmc   +1 more source

Red‐to‐Near‐Infrared Fluorescence Resonance Energy Transfer Reporters for Dual Imaging Applications

Small Methods, Volume 10, Issue 15, 7 August 2026.
Genetically encoded FRET biosensors reveal dynamic signaling in living cells, but overlapping spectra have limited the simultaneous monitoring of multiple pathways. We introduce a red‐to‐near infrared FRET pair, mRuby2/miRFP670nano3, compatible with existing reporters and enabling dual FLIM‐FRET without bleed‐through.
Van Thi‐Hong Tran, Frans Ek, Hasan Yassine, Rajalaxmi Behera, Vesa P. Hytönen, James R. W. Conway   +5 more
wiley   +1 more source

Metabolic FRET sensors in intact organs: Applying spectral unmixing to acquire reliable signals. [PDF]

Biol Open, 2023
Gándara L, Durrieu L, Wappner P.
europepmc   +1 more source

Decoding Superconductivity in La3Ni2O7−δ Thin Films via Ozone‐Driven Structure and Oxidation Tuning

Small Structures, Volume 7, Issue 8, August 2026.
We demonstrate that superconductivity in La3Ni2O7‐δ thin films correlate with the LNO‐2222 polytype, which must extend coherently across the layer. Conversely, the LNO‐1313 phase disrupts superconductivity, as confirmed by recent studies. Our work highlights the need to stabilize the 2222 phase through optimized growth to achieve robust and ...
Mathieu Flavenot, Hoshang Sahib, Jérôme Robert, Marc Lenertz, Gilles Versini, Laurent Schlur, Alexandre Gloter, Nathalie Viart, Daniele Preziosi   +8 more
wiley   +1 more source

Probabilistic Mixture Model-Based Spectral Unmixing

Applied Sciences
Spectral unmixing attempts to decompose a spectral ensemble into the constituent pure spectral signatures (called endmembers) along with the proportion of each endmember.
Oliver Hoidn, Aashwin Ananda Mishra, Apurva Mehta   +2 more
doaj   +1 more source

SMILE: Extraction‐free submicron‐resolution mapping of lipid chain length and unsaturation by stimulated Raman imaging

VIEW, Volume 7, Issue 4, August 2026.
In this work, we develop submicron‐resolution mapping of intracellular lipid elements (SMILE) as an extraction‐free vibrational spectroscopic imaging platform based on hyperspectral stimulated Raman scattering microscopy with a spectral analysis pipeline for pixel‐resolved lipid profiling.
Yihui Zhou, Xiangjie Huang, Xingxin Liu, Ling Zhang, Jie Huang, Jing Zhao, Yongqing Zhang, Jin Zhang, Yanqing Gong, Delong Zhang, Hyeon Jeong Lee   +10 more
wiley   +1 more source

Blind spectral unmixing for characterization of plaque composition based on multispectral photoacoustic imaging. [PDF]

Sci Rep, 2023
Cano C, Matos C, Gholampour A, van Sambeek M, Lopata R, Wu M.   +5 more
europepmc   +1 more source

Independent Component Analysis (ICA) as a Superior Atmospheric Correction Method for InSAR Time Series

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 8, August 2026.
Abstract Satellites such as the European Space Agency's Sentinel‐1 constellation allow for the creation of unprecedented volumes of Interferometric Synthetic Aperture RaDAR data that contains both deformation and atmospheric signals. Correction methods have been developed to reduce these atmospheric signals, but they do not generally perform well on ...
M. Gaddes, A. Hooper, S. Ebmeier
wiley   +1 more source