Results 151 to 160 of about 23,100 (259)
The article presents nanomaterial‐integrated fiber neural probes as innovative tools for deep brain molecular sensing, neural stimulation, and temperature monitoring. It examines breakthroughs in SERS‐based biomolecule detection, thermoplasmonic activation, and luminescent thermometry, alongside strategies to overcome stability, specificity, and ...
Di Zheng +5 more
wiley +1 more source
Hyperspectral band selection for human detection
Human detection based on spectral information is required for various applications, e.g. surveillance, tracking and missing person investigation. In practice, spectral human detection encounters the inherent challenge, i.e. multiple targets detection based on a limited number of spectral bands, because (1) there is a great variety in spectral profiles ...
openaire
Machine Learning Assisted Fluorescent Sensor Array for Sensing Applications
Chemical analysis is being revolutionized by the combination of the high‐dimensional, multi‐channel signals generated by fluorescent sensor arrays and the powerful data analysis enabled by machine learning. This review covers state‐of‐the‐art studies that use machine learning techniques for the identification and quantification of fluorescent sensor ...
Haobo Guo +2 more
wiley +1 more source
Hyperspectral Inversion of Soil Organic Carbon in Daylily Cultivation Areas of Yunzhou District. [PDF]
Yao Z, Ran X, Yang C, Li P, Bi R.
europepmc +1 more source
Single‐Cell Metabolic Imaging Reveals Glycogen‐Driven Adaptations in Endothelial Cells
Single‐cell metabolic imaging of diabetes‐associated endothelial dysfunction by SRS microscopy reveals dynamic glycogen storage and its role in modulating metabolic adaptations under glucose starvation. Abstract Endothelial dysfunction (ED) is a defining feature of diabetes mellitus (DM) and a key contributor to many metabolic and cardiovascular ...
Rahuljeet S. Chadha +13 more
wiley +1 more source
Identification of tobacco leaf diseases using hyperspectral imaging and machine learning with SHAP interpretability analysis. [PDF]
Luo P +8 more
europepmc +1 more source
This study presents a novel microscopic imaging system capable of rapid, section‐free scanning of irregular tissue surfaces, delivering high sensitivity for detecting cancer cell clusters during intraoperative tumor margin assessment. Abstract Rapid and accurate intraoperative examination of tumor margins is crucial for precise surgical treatment, yet ...
Zhicheng Shao +17 more
wiley +1 more source
AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley +1 more source
Spectroscopic Methods of Edible Flower Authentication and Quality Control for Food Applications
The global demand for edible flowers has increased. Issues such as incorrect species identification, flower product adulteration, contamination, and quality degradation necessitate the application of proper methods for authenticating and controlling the product's quality.
Fidele Benimana +3 more
wiley +1 more source

