A5088723986- NMR spectroscopy and applications
- Advanced NMR Techniques and Applications
- Advanced MRI Techniques and Applications
- Molecular spectroscopy and chirality
- Metabolomics and Mass Spectrometry Studies
- Spectroscopy and Quantum Chemical Studies
- Spectroscopy and Chemometric Analyses
- Gamma-ray bursts and supernovae
- Hearing, Cochlea, Tinnitus, Genetics
- Spectroscopy Techniques in Biomedical and Chemical Research
- Mitochondrial Function and Pathology
- Astronomy and Astrophysical Research
- Adipose Tissue and Metabolism
- Cancer-related molecular mechanisms research
- Atomic and Subatomic Physics Research
- HIV Research and Treatment
- Retinoids in leukemia and cellular processes
- Cloud Computing and Resource Management
- GABA and Rice Research
- Connexins and lens biology
- Cardiovascular Disease and Adiposity
- Electron Spin Resonance Studies
- MRI in cancer diagnosis
- Plant Molecular Biology Research
- Epilepsy research and treatment
Zhongda Hospital Southeast University
2023-2025
State Key Laboratory of Digital Medical Engineering
2023-2025
Southeast University
2024-2025
Xiamen University
2016-2025
Xiamen University of Technology
2010-2025
Guangzhou Institutes of Biomedicine and Health
2023
Chinese Academy of Sciences
2023
Johns Hopkins University
2017
University of California, Los Angeles
2016
Chongqing University of Posts and Telecommunications
2014
Nuclear magnetic resonance (NMR) is one of the most powerful analytical tools and extensively applied in many fields. However, compared to other spectroscopic techniques, NMR has lower sensitivity, impeding its wider applications. Using data postprocessing techniques increase spectral signal-to-noise ratio (SNR) a relatively simple cost-effective method. In this work, deep neural network, termed as DN-Unet, devised suppress noise liquid-state spectra enhance SNR. It combines structures...
High-quality nuclear magnetic resonance (NMR) spectra can be rapidly acquired by combining non-uniform sampling techniques (NUS) with reconstruction algorithms. However, current deep learning (DL) based methods focus only on single-domain (time or frequency domain), leading to drawbacks like peak loss and artifact peaks ultimately failing achieve optimal performance. Moreover, the lack of fully sampled makes it difficult, even impossible, determine quality reconstructed spectra, presenting...
Abstract Neonatal cochlear Lgr5+ progenitors retain limited hair cells (HCs) regenerative capacity, but the regulatory network remains incompletely defined. Serpin family E member 2 ( Serpine2 ) is shown to participate in regulating proliferation and differentiation of previous vitro study. Here, expression pattern vivo roles HC regeneration are explored by transgenic mice. It found that expressed mouse cochlea after birth with a downward trend as mice age. In addition, conditional...
The fermentation time of fermented milk significantly influences its taste and nutritional value. Monitoring the process is crucial for ensuring quality, flavor, safety products. In this paper, kefir process, as an example, was monitored in situ using advanced nuclear magnetic resonance (NMR) techniques. tracked by obtaining pure shift spectra through Pure Shift Yielded Chirp Excitation (PSYCHE) sequence to separate heavily overlapped peaks, which enabled identification quantification...
Azo compounds offer wide-range applications due to their unique structures and properties. The N = double bond in azo can form a non-rotatable plane, frequently causing spins experience different magnetic environments, thus leading chemical exchange. This may result line broadening even invisibility the nuclear resonance spectra, significantly influencing detection kinetic analysis of compounds. Here, new pulse sequence, termed as FasteR Exchange with chemical-Shift Scaling for Signal...
Pure shift spectra improve the resolution of NMR spectra, aiding in structural analysis substances. To obtain high-quality pure a network called Spin Echo to Shift Network (SE2PSNet) is proposed process spin echo combined with chemical information. SE2PSNet consists three modules: spectral information association module, self-attention mechanism and spectrum recovery which are used for encoding, dynamic adjustment feature weights, decoding, respectively. The help capture relationships...
1H nuclear magnetic resonance (NMR) spectroscopy plays an important role in the pharmaceutical industry, but for complex substances, spectral analysis is challenging due to narrow chemical shift range and signal splitting caused by scalar coupling. Pure techniques can suppress coupling, improving resolution. This paper provides a review of pure techniques, including main homonuclear broadband decoupling experiments methods obtaining optimal spectra with assistance deep learning....
Pure shift methods improve the resolution of proton nuclear magnetic resonance spectra at cost time. The pure yielded by chirp excitation (PSYCHE) method is a promising method. We propose reconstructing undersampled PSYCHE based on deep learning to accelerate acquisition. It only takes 17 s obtain high-quality spectrum. network can completely remove undersampling artifacts and chunking sidebands signal-to-noise ratio, obtaining clean spectra. reconstruction quality better than iterative soft...
Nuclear magnetic resonance (NMR) is one of the most powerful analytical techniques. In order to obtain high-quality NMR spectra, a real-time Zangger-Sterk (ZS) pulse sequence employed collect low-quality pure shift data with high efficiency. Then, neural network named AC-ResNet and loss function SM-CDMANE are developed train model. The model excellent abilities suppressing noise, reducing line widths, discerning peaks, removing artifacts utilized process acquired data. processed spectra...
Latent viral reservoir is recognized as the major obstacle to achieving a functional cure for HIV infection. We previously reported that arsenic trioxide (As2O3) combined with antiretroviral therapy (ART) can reactivate and delay rebound after ART interruption in chronically simian immunodeficiency virus (SIV)-infected macaques. In this study, we further investigated effect of As2O3 independent SIV-infected found As2O3-only treatment significantly increased CD4/CD8 ratio, improved...
Abstract Signals from intermolecular double‐quantum coherences (iDQCs) have been shown to be insensitive macroscopic field inhomogeneities and thus enable acquisition of high‐ resolution MR spectroscopy in the presence large inhomogeneous fields. In this paper, localized iDQC 1 H on a whole‐body 3‐T scanner is reported. Experiments with brain metabolite phantom were performed quantify characteristics signal under different conditions. The feasibility vivo high‐resolution intrinsic external...
In nuclear magnetic resonance (NMR) technique, it is of great necessity and importance to obtain high-resolution spectra, especially under inhomogeneous fields. this study, a method based on partial homogeneity proposed for retrieving one-dimensional NMR spectra Signals from series small voxels, which characterize high resolution due sizes, are recorded simultaneously. Then, an inhomogeneity correction algorithm developed pattern recognition correct the influence brought by field...
A single-scan method is proposed to shorten the acquisition time for an NMR 2D J-resolved spectrum 1 second. With high SNRs and acceptable resolutions, it constitutes effective tool obtaining decoupled proton spectra fine scalar-coupling splitting patterns.
High-quality nuclear magnetic resonance (NMR) spectra can be rapidly acquired by combining non-uniform sampling techniques (NUS) with reconstruction algorithms. However, current deep learning (DL) methods are constrained to single-domain (either in the time domain or frequency domain), leading limitations like peak loss and artifact peaks, ultimately failing achieve optimal performance. More importantly, lack of fully sampled presents challenges assessing quality reconstructed spectra,...
Abstract Small extracellular vesicles (sEVs) act as a critical mediator in intercellular communication. Compared to sEVs derived from vitro sources, tissue‐derived can reflect the vivo signals released specific tissues more accurately. Currently, studies on role of cochlea have relied studying sources. This study evaluates three cochlear tissue digestion and sEV (CDsEV) isolation methods, first proposes that optimal approach for isolating CDsEVs using collagenase D DNase І combined with...
Accurate chemical shifts of spectral signals were obtained by processing spin echo spectra using a deep learning method.