A5072160656- Microfluidic and Bio-sensing Technologies
- Image Processing Techniques and Applications
- 3D Printing in Biomedical Research
- Force Microscopy Techniques and Applications
- Micro and Nano Robotics
- CRISPR and Genetic Engineering
- Orbital Angular Momentum in Optics
- Cellular Mechanics and Interactions
- Retinal and Macular Surgery
- Vehicle License Plate Recognition
- Microfluidic and Capillary Electrophoresis Applications
- Optical Coherence Tomography Applications
- Video Surveillance and Tracking Methods
- Educational Technology and Pedagogy
- Molecular Communication and Nanonetworks
- Cell Image Analysis Techniques
- Advanced Neural Network Applications
- Piezoelectric Actuators and Control
- Zebrafish Biomedical Research Applications
- Spectroscopy Techniques in Biomedical and Chemical Research
- Asphalt Pavement Performance Evaluation
- Infrastructure Maintenance and Monitoring
- Retinal Imaging and Analysis
Zhejiang University
2022-2025
Shandong University of Technology
2024
Zhejiang Lab
2023
Innovation Team (China)
2023
The microinjection of Zebrafish embryos is significant to life science and biomedical research. In this article, a novel automated system developed for cell microinjection. A sophisticated microfluidic chip designed transport, hold, inject cells continuously. For the first time, microinjector with microforce perception proposed integrated within enclosed judge whether have been successfully punctured. deep learning model employed detect yolk center zebrafish locate position injection needle...
Obtaining single cell from tissues is important for intersection of information and bioscience research. In this letter, a robotic framework based on micromanipulation system has been proposed, which can automatically intelligently cut down cells intact tissue sections. The proposed method consists several steps. An attention mechanism improved (AMI) tip localization neural network to detect track the needle micro-scale displacement end-effector within limited field view under microscopy....
Abstract Subretinal injection is a complicated task for retinal surgeons to operate manually. In this paper we demonstrate robust framework needle detection and localisation in robot‐assisted subretinal using microscope‐integrated Optical Coherence Tomography with deep learning. Five convolutional neural networks different architectures were evaluated. The main differences between the are amount of information they receive at input layer. When evaluated on ex‐vivo pig eyes, top performing...
Abstract The mechanical properties of cells play an important role in cell development and function. Therefore, measurement is a fundamental essential tool for research. In this article, novel method to estimate the force exerted on living proposed based glass needle deformation, which does not require additional physical sensors compared with other force‐sensing methods. three‐dimensional (3D) spatial state reconstructed, parameters deflection are obtained multi‐focus image fusion...
Computer vision plays a pivotal role in modern society, which transforms fields such as healthcare, transportation, entertainment, and manufacturing by enabling machines to interpret understand visual information, revolutionizing industries, enhancing daily life [...]
Cell trapping is considered a complicated and challenging task due to the small scale of manipulation involved. Image guided robotic micro among novel promising solutions that may enhance human capabilities. In this paper we demonstrate 3-degree-of-freedom (3-DOF) wireless magnetic control an untethered microrobot (2-DOF position 1-DOF pointing orientation). An accurate orientation model has been employed determine microrobot's in 2D space. addition, multiple experiments were conducted...