Estimation of Heart Rate and Respiratory Rate by Fore-Background Spatiotemporal Modeling of Videos

A New Method for Estimating Heart Rate and Respiratory Rate from Videos Background and Research Motivation Heart rate (HR) and respiratory rate (RR) are critical physiological parameters reflecting cardiorespiratory functions. These metrics are widely used in medical, health monitoring, and psychological and behavioral studies. Traditionally, these...

Optical Coherence Tomography Guided Automatic Robotic Craniotomy Surgery Platform

Optical Coherence Tomography Guided Automatic Robotic Craniotomy Surgery Platform

Research Report on Automated Robotic Craniotomy Surgery System Background As the central organ of complex life activities, the brain governs all psychological and conscious processes, playing a crucial role in every aspect of life. Entering the 21st century, neuroscience has become one of the fastest-growing and most prominent fields, with animal m...

Development of Next Generation Low-Cost OCT Towards Improved Point-of-Care Retinal Imaging

Development of Next-Generation Low-Cost Optical Coherence Tomography (OCT) Systems: Advancing Retinal Imaging for Clinical Applications Academic Background Optical Coherence Tomography (OCT) is a non-invasive, high-resolution imaging technology widely used in ophthalmology, particularly for diagnosing retinal diseases. However, existing commercial ...

Super-Resolution Imaging of Fast Morphological Dynamics of Neurons in Behaving Animals

Super-Resolution Imaging Reveals New Advances in Neural Morphodynamics in Mouse Brains: Dynamic Observations in Head-Fixed Awake Animals Background In the field of neuroscience, understanding the morphological changes and functional dynamics of neurons is key to deciphering how the brain processes information and sustains network plasticity. Despit...

A Foundation Model for Joint Segmentation, Detection and Recognition of Biomedical Objects Across Nine Modalities

Decoding the Future of Biomedical Image Analysis: A Foundational Model for Multi-Modal Joint Segmentation, Detection, and Recognition Background In biomedical research, image analysis has become a crucial tool for advancing discoveries, enabling multi-scale studies ranging from organelles to organs. However, traditional biomedical image analysis of...