Variety Identification of Corn Seeds Based on Hyperspectral Imaging and Residual Mamba 1D CNN. [PDF]
Qi G +5 more
europepmc +1 more source
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
Evaluating the Performance of Hyperspectral Imaging Endoscopes: Mitigating Parameters Affecting Spectral Accuracy. [PDF]
Mazdeyasna S +5 more
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
Hyperspectral imaging of grains uncovers the genetic architecture of nitrogen response of development in bread wheat. [PDF]
Liu Q +5 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
Integrating mass spectrometry and hyperspectral imaging for protoporphyrin IX detection in malignant glioma tissue. [PDF]
D'Alessandro F +5 more
europepmc +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
Quality and Maturity Detection of Korla Fragrant Pears via Integrating Hyperspectral Imaging with Multiscale CNN-LSTM. [PDF]
Long Z, Wang T, Zhang Z, Liu Y.
europepmc +1 more source

