A5101499868- Optical Polarization and Ellipsometry
- Leaf Properties and Growth Measurement
- Spectroscopy and Chemometric Analyses
- Speech Recognition and Synthesis
- Total Knee Arthroplasty Outcomes
- ECG Monitoring and Analysis
- Speech and Audio Processing
- Cardiac electrophysiology and arrhythmias
- Evaluation Methods in Various Fields
- Photoacoustic and Ultrasonic Imaging
- Ferroelectric and Piezoelectric Materials
- Advanced Radiotherapy Techniques
- Advanced Graph Neural Networks
- Photosynthetic Processes and Mechanisms
- Acoustic Wave Resonator Technologies
- Optical measurement and interference techniques
- Plant Disease Resistance and Genetics
- Domain Adaptation and Few-Shot Learning
- Atrial Fibrillation Management and Outcomes
- Multiferroics and related materials
- Photonic and Optical Devices
- Advanced Vision and Imaging
- Remote Sensing in Agriculture
- Advanced Fiber Laser Technologies
- Advanced Computational Techniques and Applications
Hangzhou Dianzi University
2023-2025
Beihang University
2025
Beijing Forestry University
2021-2024
State Forestry and Grassland Administration
2024
Tsinghua University
2015-2024
Xuzhou University of Technology
2024
Xidian University
2024
University Town of Shenzhen
2007-2024
Tsinghua–Berkeley Shenzhen Institute
2019-2024
Tianjin Vocational Institute
2024
Mueller matrices can be used as a powerful tool to probe qualitatively the microstructures of biological tissues. Certain transformation processes provide new sets parameters which are functions matrix elements but represent more explicitly characteristic features sample. In this paper, we take backscattering group tissues with distinctive structural properties. Using both experiments and Monte Carlo simulations, demonstrate corresponding different optical We also calculate two transformed...
Polarization measurements allow one to enhance the imaging contrast of superficial tissues and obtain new polarization sensitive parameters for better descriptions micro- macro- structural optical properties complex tissues. Since majority cancers originate in epithelial layer, probing morphological pathological changes using an expended parameter set with improved will assist early clinical detection cancers. We carry out Mueller matrix on different cancerous look cancer specific features....
Summary The rapid increase of ~omics datasets generated by microarray, mass spectrometry and next generation sequencing technologies requires an integrated platform that can combine results from different to provide novel insights in the understanding biological systems. MADMAX is designed a solution for storage analysis complex datasets. In addition, (such as lists genes) be merged reveal candidate genes supported all system constitutes ISA-Tab compliant LIMS part, which linked pipelines. A...
Today the increasing cancer incidence rate is becoming one of biggest threats to human health. Among all types cancers, liver ranks in top five both frequency and mortality over world. During development cancer, fibrosis often evolves as part a healing process response damage, resulting cirrhosis tissues. In previous study, we applied Mueller matrix microscope pathological tissue samples found that polar decomposition (MMPD) transformation (MMT) parameters are closely related fibrous...
Polarization imaging has been recognized as a potentially powerful technique for probing the microstructural information and optical properties of complex biological specimens.Recently, we have reported Mueller matrix microscope by adding polarization state generator analyzer (PSG PSA) to commercial transmission-light microscope, applied it differentiate human liver cervical cancerous tissues with fibrosis.In this paper, apply quantitative detection breast ductal carcinoma samples at...
Our understanding of the large-scale population dynamics neural activity is limited, in part, by our inability to record simultaneously from large regions cortex. Here, we validated use a active microelectrode array that records 196 multiplexed micro-electrocortigraphical (μECoG) signals cortical surface at very high density (1,600 electrodes/cm 2 ). We compared μECoG measurements auditory cortex using custom “active” electrode those recorded conventional “passive” array. Both these...
Polarization measurements are sensitive to the microstructure of tissues and can be used detect pathological changes. Many contain anisotropic fibrous structures. We obtain local orientation aligned scatterers using different groups backscattering Mueller matrix elements. Experiments on concentrically well-aligned silk fibers unstained human papillary thyroid carcinoma show that m22, m33, m23, m32 elements have better contrast but higher degeneracy for extraction angles. The m12 m13 lower...
Recently many attempts have been made for extracting the structural information of myofibrils as indicators diseases skeletal muscle. In this paper we adopt wide-field illumination and take backscattering Mueller matrix images bovine muscle tissues during 24-hour experimental time after animal's death. The 2D elements their frequency distribution histograms (FDHs) reveal rich qualitative on changes in microstructures temporal variations sample are quantitatively analyzed using two...
Mueller matrix polarimetry is a potentially powerful tool for biomedical diagnosis. Recently, the transmission microscope and backscattering endoscope were developed applied to various pathological samples. However, comparative study of imaging contrasts derived parameters between measurements still needed help decide which information obtained from can be directly in vivo imaging. Here, compare polarimetry, we measure porcine liver tissue samples human breast carcinoma specimens. The...
Skin tissue consists of collagen and elastic fibres, which are highly susceptible to damage when exposed ultraviolet radiation (UVR), leading skin aging cancer. However, a lack non-invasive detection methods makes determining the degree UVR in real time difficult. As one fundamental features light, polarization can be used develop imaging techniques capable providing structural information about tissues. In particular, Mueller matrix polarimetry is suitable for detecting changes fibres....
Polarization imaging techniques are emerging tools to provide quantitative information of anisotropic structures, such as the density and orientation distribution fibers in tissue samples. Recently, it is found that when using Mueller matrix polarimetry obtain structural features samples, some can be revealed by relatively low-resolution polarization parameter images. Thus, analyze what kinds optical contained high-resolution images preserved ones, here we carry out a comparative study...
Mesophyll cells are the main site of photosynthesis and largest cell population in leaves, with tightly packed cylinder palisade mesophyll (PMCs) on adaxial side loosely arranged rounded spongy (SMCs) abaxial side. Loss dorsoventral differentiation PMCs SMCs causes alterations leaf phenotypes (Yu et al., 2020). Brassica rapa encompasses many leafy vegetables extreme morphological diversity, such as Chinese cabbage head pak choi flat leaves. Exploring between identifying key regulatory genes...
Predicting the popularity of information in social networks poses a highly challenging problem. The message is contingent upon its diffusion process and relationships it maintains with other cascades influenced by user behaviour within network. Effectively capturing dynamic propagation integrating structural features network to enhance prediction constitutes pivotal challenge. To address challenge, we propose novel method called " Cascade Social Net" (CSN) that leverages cascade graphs...
Several recent studies have attempted to autoregressively generate continuous speech representations without discrete tokens by combining diffusion and autoregressive models, yet they often face challenges with excessive computational loads or suboptimal outcomes. In this work, we propose Diffusion Transformer Autoregressive Modeling (DiTAR), a patch-based framework language model transformer. This approach significantly enhances the efficacy of models for reduces demands. DiTAR utilizes...
Group selection in virtual reality is an important means of multi-object selection, which allows users to quickly group multiple objects and can significantly improve the operation efficiency types objects. In this paper, we propose a method based on rounds probability permutation, substantially improved by making object layout next round easier be batch-selected through interactive grouping computation, position rearrangement each process. We conducted ablation experiments determine...
Mueller matrix polarimetry is a potentially powerful technique for obtaining microstructural information of biomedical specimens. Thus, it has found increasing application in both backscattering imaging bulk tissue samples and transmission microscopic thin slices. Recently, we proposed to transform the 4 × elements into group parameters, which have explicit associations with specific features samples. In this paper, thoroughly analyze relationships between transformation parameters...
The importance of polarization aberrations has been recognized and studied in numerous optical systems related applications. It is known that are particularly crucial certain photogrammetry microscopy techniques to vectorial information—such as imaging, stimulated emission depletion microscopy, structured illumination microscopy. Hence, a reduction would be beneficial different types imaging/sensing with enhanced information. In this work, we first analyzed the intrinsic induced by high-NA...
Automated segmentation of targets in ultrasound (US) images during US-guided liver surgery holds the potential to assist physicians fast locating critical areas such as blood vessels and lesions. However, this remains a challenging task primarily due image quality issues associated with US, including blurred edges low contrast. In addition, studies specifically targeting are relatively scarce possibly since studying deep abdominal organs under US is difficult. paper, we proposed network...
Ultrasound-guided percutaneous interventions have numerous advantages over traditional techniques. Accurate needle placement in the target anatomy is crucial for successful intervention, and reliable visual information essential to achieve this. However, previous studies revealed several challenges, such as variability echogenicity common misalignment of ultrasound beam needle. Advanced techniques been developed optimize visualization, including hardware-based image-processing-based methods....
We introduce Seed-TTS, a family of large-scale autoregressive text-to-speech (TTS) models capable generating speech that is virtually indistinguishable from human speech. Seed-TTS serves as foundation model for generation and excels in in-context learning, achieving performance speaker similarity naturalness matches ground truth both objective subjective evaluations. With fine-tuning, we achieve even higher scores across these metrics. offers superior controllability over various attributes...