A5101501550- Surface Roughness and Optical Measurements
- Industrial Vision Systems and Defect Detection
- Image Processing Techniques and Applications
- Inflammatory mediators and NSAID effects
- Advanced Neural Network Applications
- Muscle Physiology and Disorders
- Adipokines, Inflammation, and Metabolic Diseases
- Liver physiology and pathology
- Image and Object Detection Techniques
- Smart Agriculture and AI
- Advanced Measurement and Detection Methods
- Cancer Cells and Metastasis
- Organ Transplantation Techniques and Outcomes
- Image and Signal Denoising Methods
- Pancreatic function and diabetes
- Sirtuins and Resveratrol in Medicine
- Image and Video Stabilization
- Video Surveillance and Tracking Methods
- Peptidase Inhibition and Analysis
- Spectroscopy and Chemometric Analyses
- 3D Printing in Biomedical Research
- Advanced Image Processing Techniques
- Adipose Tissue and Metabolism
- Signaling Pathways in Disease
- Spectroscopy Techniques in Biomedical and Chemical Research
China Aerospace Science and Industry Corporation (China)
2023
Huazhong Agricultural University
2012-2020
Montgomery General Hospital
2017
Yanshan University
2013
Beijing Friendship Hospital
2013
Capital Medical University
2013
Abstract The aim of this study was to optimise a collagenase perfusion protocol for the isolation liver non‐parenchymal cell (NPC) suspension enriched Kupffer cells that reduced damage F4/80 antigen surface expression allow analysis by flow cytometry. cell‐enriched NPCs were isolated from C57BL/6 mice using different protocols. Flow cytometry used examine effect digestion on cells, and results represented percentage positive mean fluorescence intensity (MFI). temperature, concentration...
The study was conducted to identify three types of non-touching grain kernels using a colour machine vision system. Images individual cereal were acquired an camera. Shape feature extracted from binary and edge images obtained by iamge processing for classification. A total 13 shape parameters, including region area, perimeter, length, width, the maximum radius, smallest radius etc, each kernel use as input Bayesian classifier. Experimental results showed that classifier gave better...
Boundary detection is very important in the size measurement of turnout rail components using machine vision. A new algorithm about boundary based on vision system proposed. First an improved median filtering was used to noise reduction image. Second Gabor operator energy diagram generated. Then elliptical-butterfly surround inhibition designed suppress textures and enhance boundary. Last a binarization method put forward according human beings visual observation. Experimental results show...
In order to solve the problem that crack defects generated on surface of MEMS devices are difficult detect under high overload impact, this paper proposes a detection method based attribute weighted naive Bayes improved OTSU algorithm.Based analysis in image, edge information defect image is extracted by processing such as detail sharpening, grayscale processing, enhancement and extraction Canny operator, pseudo removed least square method; algorithm introduced improve traditional method,...
To address the issue of low accuracy in segmentation dynamic objects using semantic networks, a dual-branch object network has been proposed, which is based on fusion spatiotemporal information. First, an appearance–motion feature module designed, characterizes motion information by introducing residual graph. This combines co-attention mechanism and correction method to enhance extraction appearance features for objects. Furthermore, mitigate boundary blurring misclassification issues when...
This paper presents a novel blind image deblurring algorithm based on extreme gradient and dark channel priors. Traditional methods relying solely local maximum or minimum priors to estimate the latent often suffer from ringing artifacts loss of high frequency information in low areas. To solve those problems, we combine prior better constrain solution space. Experimental results show that proposed achieves restoration performance with detail preservation, noise suppression, robustness...
Abstract Complexity of cancer requires advancements tools for intervention and diagnostics. Rare circulating tumor cells (CTCs) from patient blood could be used real-time monitoring solid cancer. We recently developed a microfluidic device, the CTC-iChip, which enriches well-preserved CTCs in solution through removal cellular components (red white cells) platelets whole blood. Protein expression analysis has been limited to immunofluorescent staining few well-characterized markers (including...