- Optical measurement and interference techniques
- Image Processing Techniques and Applications
- Chaos-based Image/Signal Encryption
- Advanced Steganography and Watermarking Techniques
- Garlic and Onion Studies
- Advanced Vision and Imaging
- Image and Signal Denoising Methods
- Image Enhancement Techniques
- Advanced Image Processing Techniques
- Optical Coherence Tomography Applications
- Plant Disease Resistance and Genetics
- Retinal Imaging and Analysis
- Silicon and Solar Cell Technologies
- Plant nutrient uptake and metabolism
- Advanced Image Fusion Techniques
- Postharvest Quality and Shelf Life Management
- Photosynthetic Processes and Mechanisms
- Semiconductor materials and interfaces
- Digital Holography and Microscopy
- Image and Object Detection Techniques
- Plant Stress Responses and Tolerance
- Flowering Plant Growth and Cultivation
- Microfluidic and Bio-sensing Technologies
- Genomics, phytochemicals, and oxidative stress
- Plant Disease Management Techniques
ZheJiang Academy of Agricultural Sciences
2003-2024
Tianjin University of Technology and Education
2021-2023
Pingjin Hospital
2023
Chinese Academy of Sciences
2002-2021
Kunming Institute of Botany
2021
University of Chinese Academy of Sciences
2021
Tianjin University
2014-2019
Central South University
2015-2019
Army Medical University
2014
Southwest Hospital
2014
Abstract Circular RNA (circRNA) is a newly discovered non-coding RNA, which play significant roles in the function and transcriptional regulation of microRNA. To date, Chinese cabbage, functional characteristic circRNAs response to calcium deficiency-induced tip-burn have not been reported. In this study, 730 were isolated from cabbage leaves, 23 22 differentially expressed different deficiency stages compared with control. Forty-six host genes identified, one circRNA was found act as miRNAs...
Deep learning evaluation is a new direction formed by the intersection of multiple domains, and core issue how to visualize collaborative models motivate learners. Therefore, this paper realizes real-time knowledge sharing facilitates learners' interaction through computer-supported (CSCL) technology. In paper, we collect, label, analyze data based on five modalities: brain, behavior, cognition, environment, process analysis model developed under threshold multimodal analysis. The roles CSCL...
Filtering off speckle noise from a fringe image is one of the key tasks in electronic pattern interferometry (ESPI). In general, ESPI images can be divided into three categories: low-density images, high-density and variable-density images. this paper, we first present general filtering method based on variational decomposition that filter for with various densities. our method, decomposed fringes, noise. A fringes We give some suitable function spaces to describe noise, respectively. Then...
Glossiness is an important quality-related trait of Chinese cabbage, which a leafy vegetable crop in the family Brassicaceae. The glossy caused by abnormal cuticular wax accumulation. In this study, on basis bulked segregant analysis coupled with next-generation sequencing (BSA-seq) and fine-mapping, most likely candidate gene responsible for phenotype cabbage was identified. It subsequently named Brcer2 because it homologous to AtCER2 (At4g24510). A bioinformatics indicated long...
We propose an optical color image encryption system based on the single-lens Fourier transform, Fresnel and chaotic random phase masks (CRPMs). The proposed contains only one lens, which makes it more efficient concise to implement. introduction of transform first mask also act as main secret key when input is a non-negative amplitude-only map. two CRPMs generated by dual two-dimensional maps can provide security system. In system, management convenient transmission volume reduced greatly....
This paper presents a novel optical colour image watermarking scheme based on phase-truncated linear canonical transform (PT-LCT) and decomposition (ID). In this proposed scheme, PT-LCT-based asymmetric cryptography is designed to encode the watermark into noise-like pattern, an ID-based multilevel embedding method constructed embed encoded host image. The cryptography, which can be optically implemented by double random phase encoding with quadratic system, provide higher security resist...
Molecular gradients play a significant role in regulating biological and pathological processes. Although conventional gradient-generators have been used for studying chemotaxis axon guidance, there are still many limitations, including the inability to maintain stable tempo-spatial lack of cell monitoring real-time manner. To overcome these shortcomings, microfluidic devices developed. In this study, we developed gradient device neuron guidance. A enables generation Brain-derived...
Phase unwrapping is one of the key steps optical interferogram analysis, among which phase discontinuity still a challenge. In this paper, we propose new weighted least-squares phase-unwrapping algorithm for discontinuous patterns. proposed algorithm, orientation coherence introduced to define weighting coefficient, can accurately show wrapped quality. According our coefficient has good performance on distinguishing continuous regions and in This advantage ensure more reliable unwrapped...
Chinese cabbage is an important vegetable from both a nutritional and economic standpoint, with the leafy head serving as primary harvested organ. However, nutrient accumulation well influencing factors within have not yet been elucidated. Thus, distribution of metabolites (soluble sugars, minerals, carotenoids, vitamin C, flavonoid compounds, glucosinolates, total phenolic compounds) were investigated in different leaf layers varying types. The results showed that inner leaves consistently...
With the development of artificial intelligence technology, intelligent fringe processing is a goal relevant researchers in optical interferometry. We propose an method to achieve fully automated extraction skeletons electronic speckle pattern interferometry (ESPI) based on U-Net convolutional neural network. In proposed method, network first trained by samples that consist noisy ESPI patterns and corresponding skeleton images. After training, other multiframe are fed simultaneously; images...
In this paper, we propose an image decomposition model Shearlet-Hilbert-L2 with better performance for denoising in electronic speckle pattern interferometry (ESPI) fringe patterns. our model, the low-density fringes, high-density and noise are, respectively, described by shearlet smoothness spaces, adaptive Hilbert space, L2 space processed individually. Because transform has superior directional sensitivity, proposed achieves commendable filtering results various types of ESPI patterns,...