Expanding the Clinical Application of OPM-MEG Using an Effective Automatic Suppression Method for the Dental Brace Metal Artifact

Expanding the Clinical Application of OPM-MEG: An Effective Method for Automatically Suppressing Metal Artifacts from Dental Braces Background Magnetoencephalography (MEG) is a technique that uses multi-channel magnetic field measurement sensors to reconstruct the neural current distribution and functional networks of the brain. Compared to electro...

Precise and safe pulmonary segmentectomy enabled by visualizing cancer margins with dual-channel near-infrared fluorescence

Precise and Safe Lung Segmentectomy Enabled by Dual-Channel Near-Infrared Fluorescence Tumor and Pleural Demarcation Lung cancer is a leading cause of cancer-related deaths globally. Since the introduction of computed tomography screening, the early detection rate of lung cancer has greatly increased, significantly reducing mortality rates. Studies...

Turning the Operating Room into a Mixed-Reality Environment: A Prospective Clinical Investigation for Cerebral Aneurysm Clipping

Turning the Operating Room into a Mixed-Reality Environment: A Prospective Clinical Investigation for Cerebral Aneurysm Clipping

Transforming the Operating Room into a Mixed Reality Environment: A Prospective Clinical Study on Aneurysm Clipping The surgical treatment of cerebral aneurysms is a highly complex and delicate process in neurosurgery. Researchers continue to explore new technologies and methods to improve surgical outcomes. In recent years, the development of Mixe...

Speech Prosody Serves Temporal Prediction of Language via Contextual Entrainment

Time prediction plays an important role in language comprehension, making language processing faster and more efficient. Especially in complex auditory and language processing, predicting the information of the upcoming utterance can improve comprehension efficiency and reduce cognitive load. Existing research has shown that listeners can utilize t...

Supramolecular Assembly Activated Single-Molecule Phosphorescence Resonance Energy Transfer for Near-Infrared Targeted Cell Imaging

Supramolecular Assembly-Activated Single-Molecule Phosphorescence Resonance Energy Transfer for Near-Infrared Targeted Cell Imaging In recent years, pure organic phosphorescence resonance energy transfer (PRET) research has become a hot topic. In this paper, the authors constructed a single-molecule PRET system with a large Stokes shift (367 nm) an...

Diffusion-based Deep Learning Method for Augmenting Ultrastructural Imaging and Volume Electron Microscopy

Diffusion-based Deep Learning Method for Augmenting Ultrastructural Imaging and Volume Electron Microscopy

Enhancing Super-Resolution Imaging and Volume Electron Microscopy with Deep Learning Algorithms Based on Diffusion Models Background Introduction Electron Microscopy (EM) as a high-resolution imaging tool has made significant breakthroughs in cell biology. Traditional EM techniques are primarily used for two-dimensional imaging, and although they h...

Time of Exercise Differentially Impacts Bone Growth in Mice

Differential Effects of Exercise Timing on Skeletal Growth in Mice Introduction Skeletal growth is crucial for adult height and bone health. Studies have shown that exercise can effectively increase bone density, but the optimal exercise timing remains unclear. This study aimed to investigate the optimal exercise timing by comparing the effects of ...

Injectable Ultrasonic Sensor for Wireless Monitoring of Intracranial Signals

Injectable Ultrasonic Sensor for Wireless Monitoring of Intracranial Signals

Wireless Injectable Ultrasound Sensor for Intracranial Signal Monitoring Background Introduction Direct and accurate monitoring of intracranial physiological conditions is extremely important for injury classification, prognosis assessment, and disease prevention. However, traditional wired clinical devices, such as percutaneous leads, although per...

Feasibility of Endovascular Stimulation of the Femoral Nerve Using a Stent-Mounted Electrode Array

Feasibility of Intravascular Femoral Nerve Stimulation using a Stent Electrode Array In recent years, electrical stimulation of peripheral nerves has gained attention as a potential therapeutic approach for restoring impaired nerve function. Traditional electrode arrays typically require invasive surgical implantation, which imposes a significant b...

Bayesian Estimation of Group Event-Related Potential Components: Testing a Model for Synthetic and Real Datasets

Background Introduction The study of Event-Related Potentials (ERPs) provides important information about brain mechanisms, particularly in elucidating various psychological processes. In these studies, multi-channel electroencephalograms (EEGs) are typically recorded while subjects perform specific tasks, and the trials are categorized based on st...