Article
Chemistry, Physical
Enping Lin, Zhemin Bai, Yifei Yuan, Zhiwei Chen, Yu Yang, Yuqing Huang, Zhong Chen
Summary: Multidimensional NMR spectroscopy is a powerful tool for structure elucidation and dynamic analysis of complex samples, particularly biological macromolecules. However, the reconstruction of Laplace-related NMR, which involves relaxation or diffusion detection, presents challenges due to its ill-posed property. Existing reconstruction methods for Laplace-related NMR sparse sampling suffer from poor resolution and possible artifacts, highlighting the need for more effective optimization algorithms.
JOURNAL OF PHYSICAL CHEMISTRY LETTERS
(2021)
Article
Chemistry, Physical
Vivek Tiwari
Summary: Coherent multidimensional spectroscopies have been implemented across different regions of the electromagnetic spectrum over the past two decades, providing new insights into molecular scale phenomena. Recent technological developments have enabled higher spatial resolution while addressing issues caused by ensemble averaging.
JOURNAL OF CHEMICAL PHYSICS
(2021)
Article
Chemistry, Analytical
Ke Chen, Lingfeng Li, Peng Li
Summary: Ion mobility spectrometry (IMS) is widely used for on-site detection of trace chemicals, but suffers from a low duty cycle of ion injection. In this work, a certain deviation between the mathematical principle of Hadamard transform and actual data collection process was found through simulation, resulting in baseline distortion. To address this problem, a novel IMS based on Sylvester-type Hadamard matrix encoding modulation (Sylvester-HT-IMS) was proposed, offering improved deconvoluted spectrum quality and overall performance.
Article
Chemistry, Analytical
Travis Ferguson, Adam Bernicky, Igor Kozin, Hans-Peter Loock
Summary: The new rapid-acquisition HPLC detector utilizes Hadamard-transform technology to quickly and accurately acquire two-dimensional spectra, combining UV LED light sources for faster spectral acquisition.
ANALYTICAL CHEMISTRY
(2021)
Article
Geochemistry & Geophysics
Damian Ibanez, Ruben Fernandez-Beltran, Filiberto Pla, Naoto Yokoya
Summary: This article presents a novel masked auto-encoding spectral-spatial transformer (MAEST) model, which combines two collaborative branches to classify and reconstruct hyperspectral remote sensing images, addressing the noise issue in conventional transformer networks.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Multidisciplinary Sciences
Tam Vu, Alexander Vallmitjana, Joshua Gu, Kieu La, Qi Xu, Jesus Flores, Jan Zimak, Jessica Shiu, Linzi Hosohama, Jie Wu, Christopher Douglas, Marian L. Waterman, Anand Ganesan, Per Niklas Hedde, Enrico Gratton, Weian Zhao
Summary: This study introduces a spatialomics technology called MOSAICA, which allows simultaneous labeling of mRNA and protein in cells or tissues and analysis using combinatorial fluorescence spectral and lifetime encoded probes, fluorescence imaging, and machine learning. The results demonstrate the high multiplexing capability of MOSAICA and its strong correlation with sequencing data.
NATURE COMMUNICATIONS
(2022)
Article
Multidisciplinary Sciences
K. S. Cujia, K. Herb, J. Zopes, J. M. Abendroth, C. L. Degen
Summary: The study extends nuclear magnetic resonance imaging to large nuclear spin clusters by combining weak quantum measurements, phase encoding, and simulated annealing. This method allows for the simultaneous detection of three-dimensional positions from multiple nuclei, with spatial selectivity and successful imaging of clusters containing multiple nuclear spins at room temperature.
NATURE COMMUNICATIONS
(2022)
Article
Chemistry, Multidisciplinary
Alexandra Shchukina, Pawel Malecki, Borja Mateos, Michal Nowakowski, Mateusz Urbanczyk, Georg Kontaxis, Pawel Kasprzak, Clara Conrad-Billroth, Robert Konrat, Krzysztof Kazimierczuk
Summary: NMR spectroscopy is a powerful but time-consuming method for studying protein structures and dynamics. A new approach involving joint sampling of indirect evolution times and temperature allows for efficient measurement of temperature coefficients in 3D spectra. This method provides effective determination of nonlinearities in proteins, showing potential for further insights into protein behavior.
CHEMISTRY-A EUROPEAN JOURNAL
(2021)
Article
Chemistry, Multidisciplinary
Margherita Bazzoni, Celia Lhoste, Justine Bonnet, Kouakou Eric Konan, Aurelie Bernard, Patrick Giraudeau, Francois-Xavier Felpin, Jean-Nicolas Dumez
Summary: This work demonstrates the online monitoring of a flow photochemical reaction using advanced NMR methods. By analyzing the reaction mixture directly, both 1D and ultrafast 2D experiments provide valuable information, especially for complex molecules. The study highlights the efficiency of ultrafast 2D COSY experiments for real-time monitoring and quantitative analysis, enabling effective screening of reaction conditions.
CHEMISTRY-A EUROPEAN JOURNAL
(2023)
Article
Multidisciplinary Sciences
Timothy P. Szczykutowicz, Sean D. Rose, Alexander Kitt
Summary: The study introduces a new method called sub pixel encoding (SPE) for achieving spatial resolution on a scale smaller than the detector pixel without the need for motion of the object or detector. By introducing weighting of the photon energy spectrum, information can be synthesized at a spatial scale defined by the spectrum modulation. The method allows for an increase in spatial resolution and provides dual energy like information about the underlying photon-matter interactions.
Article
Optics
Qinghua Yang
Summary: The B-2HSR-FIS is a flexible imaging spectrometer that combines high spatial and spectral resolution, broadband spectral range, and moderate field angle, making it a powerful tool for applications like vision intelligence in robotics.
Article
Geochemistry & Geophysics
Bing Tu, Zhi Wang, Huiting Ouyang, Xianchang Yang, Jun Li, Antonio Plaza
Summary: Anomaly detection is a crucial technique in hyperspectral image processing, aiming to identify pixels significantly different from the background when target spectrum is unavailable. This article introduces a novel anomaly detection method called Spectral-Spatial Graph (SSG) that combines spatial and spectral information, resulting in improved detection performance compared to other algorithms.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Chemistry, Physical
Giulia Giubertoni, Federico Caporaletti, Rianne van Diest, Sander Woutersen
Summary: Conventional and 2D-IR spectroscopy are useful for studying amyloid aggregates, but not for mixtures of aggregates and monomers with overlapping spectra. IR-Diffusion-Ordered Spectroscopy can separate the spectral contributions of monomers and aggregates based on molecular size. By tracking the depletion of rapidly diffusing species, it is possible to obtain the spectrum of slowly diffusing species in a mixture of amyloids and monomers.
JOURNAL OF CHEMICAL PHYSICS
(2023)
Article
Statistics & Probability
Joseph Guinness
Summary: The study proposes computationally efficient methods for estimating stationary multivariate spatial and spatial-temporal spectra from incomplete gridded data. The methods rely on iterative imputation of data and updating of model estimates. Efficient techniques for decomposing the estimated cross spectral density function into a linear model of coregionalization plus a residual process are also described.
JOURNAL OF MULTIVARIATE ANALYSIS
(2022)
Article
Optics
Qinghua Yang
Summary: The UWA-2HSR-SIS is a novel imaging spectrometer that combines ultra-wide field angle, high spatial resolution, and high spectral resolution. It can capture spectral information in real time across the full spectral range of interest, while remaining stable against various disturbances. The system shows great potential for remote sensing electro-optical reconnaissance sensors.
Article
Neuroimaging
Robert Mazgaj, Assaf Tal, Raymond Goetz, Mariana Lazar, Karen Rothman, Julie Walsh Messinger, Dolores Malaspina, Oded Gonen
BRAIN IMAGING AND BEHAVIOR
(2016)
Article
Radiology, Nuclear Medicine & Medical Imaging
Osnat Volovyk, Assaf Tal
MAGNETIC RESONANCE IN MEDICINE
(2018)
Article
Biophysics
Sarah E. Hoch, Ivan I. Kirov, Assaf Tal
NMR IN BIOMEDICINE
(2017)
Article
Radiology, Nuclear Medicine & Medical Imaging
Gal Mazor, Lior Weizman, Assaf Tal, Yonina C. Eldar
Article
Biophysics
Alexey Kulpanovich, Assaf Tal
NMR IN BIOMEDICINE
(2018)
Article
Neurosciences
Vered Bezalel, Rony Paz, Assaf Tal
Review
Radiology, Nuclear Medicine & Medical Imaging
Ivan I. Kirov, Assaf Tal
MAGNETIC RESONANCE IN MEDICINE
(2020)
Article
Biophysics
Alexey Kulpanovich, Assaf Tal
Summary: Clinical magnetic resonance spectroscopy focuses on quantifying metabolite concentrations and encoding spins' relaxation times into the acquired signal using magnetic resonance fingerprinting. By optimizing schedules, reliable estimates of metabolite concentrations and relaxation times were obtained in phantoms and healthy volunteers, demonstrating the potential of this approach for clinical applications.
NMR IN BIOMEDICINE
(2021)
Article
Biophysics
Yasmin Geiger, Assaf Tal
NMR IN BIOMEDICINE
(2020)
Article
Neurosciences
Osnat Volovyk, Assaf Tal
Article
Biophysics
Jullie W. Pan, Arun Antony, Assaf Tal, Victor Yushmanov, Joanna Fong, Mark Richardson, Claud Schirda, Anto Bagic, Oded Gonen, Hoby P. Hetherington
Summary: In the spectroscopic assessment of brain disorders, especially in epilepsy, where variation in anatomical identification poses challenges, a targeted method using large-volume MR spectroscopic imaging (MRSI) is applied. By combining 3D and two-slice Hadamard-encoded acquisitions with tailored shimming, metabolic dysfunction in epilepsy patients can be accurately evaluated, showing correlation with post-surgical seizure control outcome.
NMR IN BIOMEDICINE
(2021)
Article
Biophysics
Assaf Tal, Tiejun Zhao, Claudiu Schirda, Hoby P. Hetherington, Jullie W. Pan, Oded Gonen
Summary: This study demonstrates the use of Hadamard multislice RF encoding to address voxel bleed and chemical shift displacement error in H-1-MRSI. The results show that Hadamard spectroscopic imaging reduces voxel bleed and improves signal-to-noise ratio compared to chemical shift imaging.
NMR IN BIOMEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Assaf Tal
Summary: This study investigated the improvement in precision of relevant temporal parameters in MRS paradigms by simultaneously fitting the entire dataset using a single spectral-temporal model (2D fitting) compared to the conventional method of fitting each spectrum independently and subsequently fitting a temporal model (1D fitting). The results showed that 2D fitting improved precision by approximately 20% relative to 1D fitting, especially when the spectral peaks were closer. The study suggests that using a 2D approach for MRS fitting, particularly in nuclei with substantial spectral overlap, is recommended.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Inbal Beracha, Amir Seginer, Assaf Tal
Summary: The study aimed to design and test a personalized adaptive MR approach in which pulse sequence parameters are updated and fine-tuned in real-time based on incoming subject data. By combining a Bayesian framework with model-based reconstruction, an adaptive real-time multi-echo (MTE) experiment was implemented, resulting in significant reduction in acquisition times.
MAGNETIC RESONANCE IN MEDICINE
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Noam Nissan, Alexey Kulpanovich, Ravit Agassi, Tanir Allweis, Ilana Haas, Einat Carmon, Edna Furman-Haran, Debbie Anaby, Miri Sklair-Levy, Assaf Tal
Summary: This study investigated the clinical relevance of the relaxation times of lipids within breast cancer and normal fibroglandular tissue using magnetic resonance spectroscopic fingerprinting (MRSF). The results showed significant differences in the relaxation times of certain lipids between breast cancer patients and healthy controls. The study demonstrates the feasibility and clinical applicability of using MRSF for breast cancer imaging.
EUROPEAN RADIOLOGY
(2023)
