A5052123856- Sparse and Compressive Sensing Techniques
- Medical Imaging Techniques and Applications
- Neuroscience and Neuropharmacology Research
- Parkinson's Disease Mechanisms and Treatments
- Image and Signal Denoising Methods
- Numerical methods in inverse problems
- Advanced MRI Techniques and Applications
- Photoacoustic and Ultrasonic Imaging
- Advanced X-ray and CT Imaging
- Receptor Mechanisms and Signaling
- Neurotransmitter Receptor Influence on Behavior
- Neurological disorders and treatments
- Medical Image Segmentation Techniques
- Advanced Image Processing Techniques
- Advanced Optimization Algorithms Research
- Mass Spectrometry Techniques and Applications
- Cancer-related molecular mechanisms research
- Neurogenesis and neuroplasticity mechanisms
- Metaheuristic Optimization Algorithms Research
- MicroRNA in disease regulation
- Evolutionary Algorithms and Applications
- Genetic Neurodegenerative Diseases
- Nerve injury and regeneration
- Advanced Multi-Objective Optimization Algorithms
- Radiation Dose and Imaging
Shanghai Jiao Tong University
2016-2025
Karolinska Institutet
2016-2025
Institute of Natural Science
2018-2025
Affiliated Hospital of Nantong University
2022-2024
Zhejiang Chinese Medical University
2024
County Hospital
2024
Memorial Sloan Kettering Cancer Center
2024
Shaanxi Provincial Hospital of Traditional Chinese Medicine
2023-2024
Nantong University
2022-2024
Ningbo First Hospital
2024
Bregman methods introduced in [S. Osher, M. Burger, D. Goldfarb, J. Xu, and W. Yin, Multiscale Model. Simul., 4 (2005), pp. 460–489] to image processing are demonstrated be an efficient optimization method for solving sparse reconstruction with convex functionals, such as the $\ell^1$ norm total variation [W. S. Darbon, SIAM Imaging Sci., 1 (2008), 143–168; T. Goldstein 2 (2009), 323–343]. In particular, efficiency of this relies on performance inner solvers resulting subproblems. paper, we...
We generalize the primal-dual hybrid gradient (PDHG) algorithm proposed by Zhu and Chan in [An Efficient Primal-Dual Hybrid Gradient Algorithm for Total Variation Image Restoration, CAM Report 08-34, UCLA, Los Angeles, CA, 2008] to a broader class of convex optimization problems. In addition, we survey several closely related methods explain connections PDHG. point out convergence results modified version PDHG that has similarly good empirical rate total variation (TV) minimization also...
The pathophysiology of depression remains enigmatic, although abnormalities in serotonin signaling have been implicated. We found that the 1B receptor [5-hydroxytryptamine (5-HT1B) receptor] interacts with p11. p11 increases localization 5-HT1B receptors at cell surface. is increased rodent brains by antidepressants or electroconvulsive therapy, but decreased an animal model and brain tissue from depressed patients. Overexpression function cells recapitulates certain behaviors seen after...
PSD-95, DLG, ZO-1 (PDZ) domain-mediated protein interactions have been shown to play important roles in the regulation of glutamate receptor function at excitatory synapses. Recent studies demonstrating rapid AMPA during synaptic plasticity suggested that interaction with PDZ domain-containing proteins may be dynamically modulated. Here we show PKC phosphorylation GluR2 subunit differentially modulates its GRIP1 and PICK1. The serine residue [serine-880 (Ser880)] C-terminal sequence (IESVKI)...
Synaptic clustering of neurotransmitter receptors is crucial for efficient signal transduction and integration in neurons. PDZ domain–containing proteins such as PSD-95/SAP90 interact with the intracellular C termini a variety are thought to be important targeting anchoring specific synapses. Here, we show that PICK1 (protein interacting kinase), protein, interacts α-amino-3-hydroxy-5-methyl-isoxazole-4-propionic acid (AMPA) vitro vivo. In neurons, specifically colocalizes AMPA at excitatory...
Long noncoding RNAs (lncRNAs) have recently been implicated in many biological processes and diseases. Atherosclerosis is a major risk factor for cardiovascular disease. However, the functional role of lncRNAs atherosclerosis largely unknown.We identified lincRNA-p21 as key regulator cell proliferation apoptosis during atherosclerosis. The expression was dramatically downregulated atherosclerotic plaques ApoE(-/-) mice, an animal model Through loss- gain-of-function approaches, we showed...
In this paper, we propose a unified primal-dual algorithm framework for two classes of problems that arise from various signal and image processing applications. We also show the connections to existing methods, in particular Bregman iteration (Osher et al., Multiscale Model. Simul. 4(2):460–489, 2005) based such as linearized Commun. Math. Sci. 8(1):93–111, 2010; Cai SIAM J. Imag. 2(1):226–252, 2009, CAM Report 09-28, UCLA, March 2009; Yin, CAAM Report, Rice University, 2009) split...
This paper considers two nonlocal regularizations for image recovery, which exploit the spatial interactions in images. We get superior results using preprocessed data as input weighted functionals. Applications discussed include deconvolution and tomographic reconstruction. The numerical show our method outperforms some previous ones.
Recently, the minimization of a sum two convex functions has received considerable interest in variational image restoration model. In this paper, we propose general algorithmic framework for solving separable problem from point view fixed algorithms based on proximity operators (Moreau 1962 C. R. Acad. Sci., Paris I 255 2897–99). Motivated by proximal forward–backward splitting proposed Combettes and Wajs (2005 Multiscale Model. Simul. 4 1168–200) operator (FP2O) denoising (Micchelli et al...
We present a spatial omics approach that combines histology, mass spectrometry imaging and transcriptomics to facilitate precise measurements of mRNA transcripts low-molecular-weight metabolites across tissue regions. The workflow is compatible with commercially available Visium glass slides. demonstrate the potential our method using mouse human brain samples in context dopamine Parkinson's disease.
Sparse transforms play an important role in seismic signal processing steps, such as prestack noise attenuation and data reconstruction. Analytic sparse (so-called implicit dictionaries), the Fourier, Radon, curvelet transforms, are often used to represent data. There situations, however, which complexity of requires adaptive transform methods, whose basis functions determined via learning methods. We studied application data-driven tight frame (DDTF) method suppression interpolation...
Many neuroactive substances, including endogenous biomolecules, environmental compounds, and pharmaceuticals possess primary amine functional groups. Among these are catecholamine neurotransmitters (e.g., dopamine), many substituted phenethylamines amphetamine), as well amino acids neuropeptides. In most cases, mass spectrometric (ESI MALDI) analyses of trace amounts such compounds challenging because their poor ionization properties. We present a method for chemical derivatization amines by...
Long non-coding RNAs (lncRNAs) have been found to be involved in the pathogenesis of coronary artery disease (CAD). However, it remains established whether or not circulating lncRNAs can serve as biomarkers CAD. Using a microarray-based lncRNA expression profiling, we 86 that were differentially expressed peripheral blood monocytes and plasma from 15 CAD patients control subjects. After choosing consistent criterion (average normalized intensity ≥7 with significance <0.005) confirmed by...
Both oxidative stress and inflammation are involved in the pathogenesis of contrast-induced nephropathy (CIN). Epigallocatechin-3-gallate (EGCG), a purified catechin from green tea, has antioxidant anti-inflammatory effects. However, it is unknown whether or not EGCG effective treating CIN. Our present study found that intravenous administration EGCG, either before just after establishment CIN, had protective effect, determined by normalization serum creatinine blood urea nitrogen levels,...
Restoration/interpolation of missing traces plays a crucial role in the seismic data processing pipeline. Efficient restoration methods have been proposed based on sparse signal representation transform domain such as Fourier, wavelet, curvelet, and shearlet transforms. Most existing are transforms with fixed basis. We considered an adaptive for complex structures. In particular, we evaluated data-driven tight-frame-based regularization method restoration. The main idea tight frame (TF) is...
Prosaposin (PSAP) modulates glycosphingolipid metabolism and variants have been linked to Parkinson's disease (PD). Here, we find altered PSAP levels in the plasma, CSF post-mortem brain of PD patients. Altered plasma correlate with PD-related motor impairments. Dopaminergic PSAP-deficient (cPSAPDAT) mice display hypolocomotion depression/anxiety-like symptoms mildly impaired dopaminergic neurotransmission, while serotonergic (cPSAPSERT) behave normally. Spatial lipidomics revealed an...