Precision Autofocus in Optical Microscopy with Liquid Lenses Controlled by Deep Reinforcement Learning

Physics, Optics, Engineering, Mechanical Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
microscopy   autofocus   liquid lens   deep reinforcement learning   optical system  

Precision Autofocus in Optical Microscopy with Liquid Lenses Controlled by Deep Reinforcement Learning Academic Background Microscopic imaging plays a crucial role in scientific research, biomedical studies, and engineering applications. However, traditional microscopes and autofocus techniques face hardware limitations and slow software speeds in ...

Rapid 3D Imaging at Cellular Resolution for Digital Cytopathology with a Multi-Camera Array Scanner (MCAS)

Rapid 3D Imaging at Cellular Resolution for Digital Cytopathology with a Multi-Camera Array Scanner (MCAS)

Information Science, Artificial Intelligence, Medicine, Medical Laboratory Science, Medical Imaging,
Digital Cytopathology   Multi-Camera Array Scanner   3D Imaging   Cellular Resolution   Machine Learning  

Rapid 3D Imaging at Cellular Resolution for Digital Cytopathology with a Multi-Camera Array Scanner (MCAS) Academic Background Optical microscopy has long been the standard method for diagnosis in cytopathology. However, traditional whole-slide scanners, while capable of automatically imaging and digitizing large sample areas, are slow and expensiv...

Foundation Model of ECG Diagnosis: Diagnostics and Explanations

Information Science, Artificial Intelligence, Medicine, Cardiovascular System,
ECG   diagnostic model   zero-shot diagnosis   knowledge enhancement   multi-center data  

Research on ECG Diagnosis Foundation Model Based on Signal-Language Architecture Academic Background Cardiovascular disease (CVD) is the leading cause of death worldwide, and early identification of high-risk populations is crucial. The electrocardiogram (ECG), a non-invasive, cost-effective, and widely used diagnostic tool, is recorded over 300 mi...

Basis Restricted Elastic Shape Analysis Framework for Surfaces

Mathematics, Physics, Mechanics, Information Science, Computer Science, Artificial Intelligence,
Elastic Shape Analysis   Surface Meshes   Geometric Deep Learning   Riemannian Shape Metrics   Human Body Analysis   Shape Registration   Random Shape Generation  

# Basis Restricted Elastic Shape Analysis on the Space of Unregistered Surfaces ## Introduction Analyzing three-dimensional (3D) surfaces has become increasingly important in computer vision, driven by the emergence of high-accuracy 3D scanning devices. These devices have significantly increased the availability of 3D data, enabling applications in...

Improving 3D Finger Traits Recognition via Generalizable Neural Rendering

Engineering, Electrical Engineering, Materials Science, Information Science, Electronic Information, Computer Science, Artificial Intelligence, Life Sciences, Bioengineering,
3D fingerprint recognition   neural rendering   finger biometrics   3D biometric traits   multi-modal biometrics  

Summary of FingerNeRF-Based 3D Finger Biometrics Research Report Background and Research Significance With the advancement of biometric technologies, three-dimensional (3D) biometrics have become a promising research direction due to their higher accuracy, robust anti-spoofing capabilities, and resistance to variations in capture angles. Among thes...

A Memory-Assisted Knowledge Transferring Framework with Curriculum Anticipation for Weakly Supervised Online Activity Detection

Engineering, Electrical Engineering, Information Science, Electronic Information, Computer Science, Artificial Intelligence,
weakly supervised learning   online activity detection   knowledge distillation   memory networks   curriculum learning  

Research Background and Significance In recent years, weakly supervised online activity detection (WS-OAD), as an important topic in high-level video understanding, has garnered widespread attention. Its primary goal is to detect ongoing activities frame-by-frame in streaming videos using only inexpensive video-level annotations. This task holds si...