Automated Analysis of Ultrastructure through Large-Scale Hyperspectral Electron Microscopy

Automated Analysis of Ultrastructure through Large-Scale Hyperspectral Electron Microscopy

Automated Analysis of Ultrastructure: A Study Based on Large-Scale Hyperspectral Electron Microscopy Academic Background Electron Microscopy (EM) is a key technique for studying biological ultrastructure, revealing the fine details of cells at biomolecular resolution. In recent years, advancements in automation and digitization have enabled EM to c...

Towards Machine Learning-Based Quantitative Hyperspectral Image Guidance for Brain Tumor Resection

Towards Machine Learning-Based Quantitative Hyperspectral Image Guidance for Brain Tumor Resection

Study on the Role of Machine Learning-Assisted Quantitative Hyperspectral Imaging in Brain Tumor Resection Background Introduction Complete resection of malignant gliomas has always been challenged by the difficulty of distinguishing tumor cells in invasive regions. The background of this study is: In neurosurgery, the application of 5-aminolevulin...

Advancing Hyperspectral and Multispectral Image Fusion: An Information-Aware Transformer-Based Unfolding Network

Advancing Hyperspectral and Multispectral Image Fusion: An Information-Aware Transformer-Based Unfolding Network

Information-aware Transformer Unfolding Network for Hyperspectral and Multispectral Image Fusion Background Introduction Hyperspectral images (HSIs) play a crucial role in remote sensing applications such as material identification, image classification, target detection, and environmental monitoring, due to their spectral information across multip...