The Uppsala APP Mutation Promotes Wild‐Type Amyloid‐β Aggregation and Deposition In Vivo
We investigated in vivo cross‐seeding of amyloid‐β (Aβ) isoforms in transgenic mice co‐expressing wild‐typeAβ and the Uppsala‐mutant Aβ variant (AβUpp), lacking six central residues. Weleveraged MALDI‐MS imaging and hyperspectral microscopy to follow spatio‐temporalAβ deposition.
Junyue Ge +14 more
wiley +1 more source
Automated Label-Free Classification of Circulating Tumor Cells and White Blood Cells Using Hyperspectral Imaging and Deep Learning on Microfluidic SACA Chip System. [PDF]
Wu SC +5 more
europepmc +1 more source
Operando real‐time current density–voltage absorption spectroscopy visualizes spatial phase evolution in mixed‐halide perovskites from device to module scale. Phase instability preferentially initiates in regions with insufficient carrier extraction, revealing electrical boundary conditions as governing factors.
Hangyeol Choi +8 more
wiley +1 more source
Visible-Near-Infrared Hyperspectral Imaging Enables Nondestructive Identification of Bean Accessions via 1D Spectral Reflectance Analysis. [PDF]
Falcioni R +5 more
europepmc +1 more source
Abstract Vegetation indices (VIs), such as normalized difference vegetation index (NDVI), are widely used to assess nitrogen (N) status in crop systems and are gaining interest in turfgrass management. However, most studies have been conducted in controlled settings, and their relevance under real‐world golf course conditions remains unclear.
Madan Sapkota +7 more
wiley +1 more source
VIS-NIR-SWIR Hyperspectral Imaging and Advanced Machine and Deep Learning Algorithms for a Controlled Benchmark of Bean Seed Identification and Classification. [PDF]
Falcioni R +6 more
europepmc +1 more source
Abstract Rice (Oryza sativa L.) crop monitoring in Africa requires efficient retrieval of biophysical parameters such as leaf area index (LAI) and leaf chlorophyll content (LCC), which are essential for crop stress detection and nutrient management.
Joseph Kagotho Muriithi +5 more
wiley +1 more source
HSICNet a novel deep learning architecture for hyperspectral image classification in remote sensing and environmental monitoring. [PDF]
Purnachand K +5 more
europepmc +1 more source
ABSTRACT Breast cancer, now the fourth leading cause of cancer‐related mortality worldwide, necessitates early detection for improved clinical outcomes. Conventional histopathology, though widely used, is invasive and subjective, limiting its utility in early‐stage diagnosis.
Xue Li +4 more
wiley +1 more source
Hyperspectral imaging for intraoperative brain tumor identification through fusion of spectral, textural, and spectral index features. [PDF]
Liu J +6 more
europepmc +1 more source

