Robotics and Optical Coherence Tomography: Current Works and Future Perspectives

The Combination of Optical Coherence Tomography and Robotics: Current Research and Future Perspectives Academic Background Optical Coherence Tomography (OCT) is a non-invasive, high-resolution optical imaging technique that has been widely used in the field of biomedical imaging since its invention. It provides micrometer-level visualization of tis...

Surface Structural Changes in Silicone Rubber Due to Electrical Tracking

Cutting-Edge Scientific News: Research Reveals Degradation Mechanisms of Silicone Rubber under Electrical Tracking Background: Motivation and Challenges With the rapid development of power transmission and distribution systems, polymer composite insulators have gradually replaced traditional glass and ceramic insulators as the preferred materials f...

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...

Overcoming the Preferred-Orientation Problem in Cryo-EM with Self-Supervised Deep Learning

Overcoming the Preferred-Orientation Problem in Single-Particle Cryo-EM: An Innovative Solution through Deep Learning Background Introduction In recent years, single-particle cryogenic electron microscopy (Single-Particle Cryo-EM) has become a core technique in structural biology due to its ability to resolve the atomic-resolution structures of bio...

Artificial Intelligence and Terrestrial Point Clouds for Forest Monitoring

Artificial Intelligence and Terrestrial LiDAR Point Clouds in Forest Monitoring: Academic Report Academic Background With the increasing importance of global climate change and forest resource management, precision forestry has become a key direction in modern forest management. Precision forestry relies on high-precision forest data collection and...

Learning Meshing from Delaunay Triangulation for 3D Shape Representation

Learning Meshing from Delaunay Triangulation for 3D Shape Representation Academic Background Surface reconstruction from point clouds is a long-standing problem in computer vision and graphics. Traditional implicit methods, such as Poisson surface reconstruction, compute an implicit function and extract the surface using the Marching Cubes algorith...