Results 81 to 90 of about 68,035 (215)
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
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 +4 more
wiley +1 more source
Spatial Structural Priors for Sparse Unmixing of Remotely Sensed Hyperspectral Images
As spectral libraries continue to expand, sparse unmixing has become essential for effectively interpreting mixed pixels in remotely sensed hyperspectral data.
Shaoquan Zhang +8 more
doaj +1 more source
Red‐to‐Near‐Infrared Fluorescence Resonance Energy Transfer Reporters for Dual Imaging Applications
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 +5 more
wiley +1 more source
Hyperspectral image unmixing has garnered considerable attention across various application domains, particularly remote sensing applications. However, relying solely on one modality to distinguish objects with similar spectral information presents ...
M Sreejam, L Agilandeeswari
doaj +1 more source
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 +10 more
wiley +1 more source
Remote Sensing During the 2025 Los Angeles Wildfires
Abstract The January 2025 Los Angeles County wildfires burned more than 50,000 acres, destroyed more than 16,000 structures, and caused 31 deaths. This Commentary examines how NASA's Disasters Program coordinated with response organizations to deliver 22 satellite and airborne products during the fires, even as the Eaton Fire forced the Jet Propulsion ...
Julie Rolla +5 more
wiley +1 more source
TCCU-Net: Transformer and CNN Collaborative Unmixing Network for Hyperspectral Image
In recent years, deep-learning-based hyperspectral unmixing techniques have garnered increasing attention and made significant advancements. However, relying solely on the use of convolutional neural network (CNN) or transformer approaches is ...
Jianfeng Chen +6 more
doaj +1 more source
Abstract Understanding how the glass/crystal ratio influences the spectral response of volcanic rocks is crucial for interpreting planetary remote sensing data. Here, four mafic rocks simulating a possible Martian composition were synthesized with identical bulk chemistry but different mineralogical assemblages, from fully amorphous to ∼70 wt.% crystal
Alessandro Pisello +11 more
wiley +1 more source
Unsupervised Bayesian linear unmixing of gene expression microarrays [PDF]
Background: This paper introduces a new constrained model and the corresponding algorithm, called unsupervised Bayesian linear unmixing (uBLU), to identify biological signatures from high dimensional assays like gene expression microarrays. The basis for
Ginsburg, Geoffrey S +8 more
core +1 more source
Efficient Progressive Mamba Model for Hyperspectral Sequence Unmixing
In recent years, deep learning-based hyperspectral unmixing has increasingly incorporated spatial information to improve performance. However, the extent of spatial information introduced involves a complex tradeoff: too little offers limited gains ...
Yang Liu, Shujun Liu, Huajun Wang
doaj +1 more source

