Results 101 to 110 of about 423,442 (225)
Advanced Science, Volume 12, Issue 47, December 18, 2025.Laser ultrasound super‐resolution imaging (LUSSI) leverages laser‐generated ultrasound for functional 3D transcranial imaging of brain tumor vasculature. Combined with optoacoustic tomography, it is demonstrated in a glioblastoma model, revealing structural abnormalities, compressed vessels, hemorrhages, and hypoxic regions.
Daniil Nozdriukhin +4 more
wiley +1 more source
SIP‐SRS Imaging of Cell Wall Synthesis Identifies a Synergy between Micafungin and Amphotericin B
Advanced Science, Volume 12, Issue 48, December 29, 2025.We employed glucose‐d7–based stable isotope probe‐assisted SRS microscopy (SIP‐SRS) C–D imaging to visualize fungal cell wall synthesis and remodeling under antifungal treatment. Amphotericin B (AmB) induced notable daughter cell wall thickening, prompting a combinational therapy with AmB and micafungin.
Meng Zhang +6 more
wiley +1 more source
Canadian Journal of Remote Sensing, 2020 Due to the fragmented compositional structure of urban scenes, many pixels are mixtures of multiple materials even in high spatial resolution airborne hyperspectral data.
Fen Chen +4 more
doaj +1 more source
, 2016 The application of Partial Membership Latent Dirichlet Allocation(PM-LDA) for hyperspectral endmember estimation and spectral unmixing is presented. PM-LDA provides a model for a hyperspectral image analysis that accounts for spectral variability and ...
Zare, Alina, Zou, Sheng
core +1 more source
Hyperspectral Imaging: The Intelligent Eye to Uncover the Password of Plant Science
Modern Agriculture, Volume 3, Issue 2, December 2025.Hyperspectral imaging (HSI) has emerged as a powerful non‐destructive technique for characterisation of the plant phenotype and physiological traits. The ongoing development of cost‐effective hardware, coupled with standardised acquisition protocols and open‐access spectral libraries, is accelerating its integration with multi‐omics approaches to ...
Jingyan Song +17 more
wiley +1 more source
Remote Sensing, 2020 Accounting for endmember variability is a challenging issue when unmixing hyperspectral data. This paper models the variability that is associated with each endmember as a conical hull defined by extremal pixels from the data set.
Tatsumi Uezato +2 more
doaj +1 more source
Advanced Intelligent Systems, Volume 7, Issue 11, November 2025.The integration of foundation models into computational microscopy revolutionizes biomedical research by enhancing imaging resolution, accelerating data analysis, and enabling real‐time biological interpretation. This systematic review critically examines recent advancements, highlights translational challenges, and discusses the transformative ...
Di Ding +5 more
wiley +1 more source
The Depositional Record, Volume 11, Issue 5, Page 1259-1284, November 2025.Sedimentological and geochemical characteristics are used to reconstruct sedimentation dynamics and erosional processes. Several rapidly deposited layers are characterised over changing depositional environments during the Late Holocene, from a phase when the lake was connected to the sea to a more stable state conducive to varve formation.
Milena S. Kury +6 more
wiley +1 more source
Feedback Acquisition and Reconstruction of Spectrum-Sparse Signals by Predictive Level Comparisons
, 2017 In this letter, we propose a sparsity promoting feedback acquisition and reconstruction scheme for sensing, encoding and subsequent reconstruction of spectrally sparse signals.
Gazor, Saeed +3 more
core +1 more source
A Multiscale Hierarchical Model for Sparse Hyperspectral Unmixing
Remote Sensing, 2019 Due to the complex background and low spatial resolution of the hyperspectral sensor, observed ground reflectance is often mixed at the pixel level.
Jinlin Zou, Jinhui Lan
doaj +1 more source