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Achieving a balance between signal-to-noise ratio (SNR) and real-time performance in infrared (IR) spectral detection of weak and moving targets is a significant challenge. Here, we propose a long-wave infrared (LWIR) computational spectrometer (MPMGFTS) based on a multi-depth phase modulation grating (MPMG). MPMG functions as the core component of the MPMGFTS. To ensure accuracy in calculating the diffraction field of MPMG, Rigorous Coupled-Wave Analysis (RCWA) theory is employed to build the field distribution model. Additionally, the effects of structural duty cycle, incident angle, and fabrication errors are analyzed. MPMGFTS offers both high SNR and temporal resolution. It retains the transient response characteristics of grating-based spectrometers (GS) while improving the SNR by approximately 120 times compared to GS. Our study on MPMGFTS offers a novel and effective approach for remote sensing and target recognition.
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http://dx.doi.org/10.1364/OE.554679 | DOI Listing |
AJR Am J Roentgenol
September 2025
Professor, Department of Radiology, Division of Abdominal Radiology University of Michigan and Michigan Medicine.
Mid-field (0.55-T) MRI may offer an alternative to higher field strengths for pancreatic intraductal papillary mucinous neoplasms (IPMNs) surveillance given high-quality MRCP sequences enabled by longer T2 relaxation times and greater patient comfort resulting from a larger bore and reduced acoustic noise. However, SNR is lower at 0.
View Article and Find Full Text PDFJ Neuroeng Rehabil
September 2025
Institute for Neuromodulation and Neurotechnology, University Hospital and University of Tübingen, 72076, Tübingen, Germany.
Innovative technology allows for personalization of stimulation frequency in dual-site deep brain stimulation (DBS), offering promise for challenging symptoms in advanced Parkinson's disease (PD), particularly freezing of gait (FoG). Early results suggest that combining standard subthalamic nucleus (STN) stimulation with substantia nigra pars reticulata (SNr) stimulation may improve FoG outcomes. However, patient response and the optimal SNr stimulation frequency vary.
View Article and Find Full Text PDFJpn J Radiol
September 2025
Department of Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221002, Jiangsu, China.
Background: Stroke, frequently associated with carotid artery disease, is evaluated using carotid computed tomography angiography (CTA). Dual-energy CTA (DE-CTA) enhances imaging quality but presents challenges in maintaining high image clarity with low-dose scans.
Objectives: To compare the image quality of 50 keV virtual monoenergetic images (VMI) generated using Deep Learning Image Reconstruction (DLIR) and Adaptive Statistical Iterative Reconstruction-V (ASIR-V) algorithms under a triple-low scanning protocol in carotid CTA.
J Chem Phys
September 2025
Department of Chemistry, Zhejiang University, Hangzhou, Zhejiang Province 310027, China.
Sum-frequency generation vibrational spectroscopy (SFG-VS) has been well-established as a unique spectroscopic probe to interrogate the structure, interaction, and dynamics of molecular interfaces, with sub-monolayer sensitivity and broad applications. Sub-1 cm-1 High-Resolution Broadband SFG-VS (HR-BB-SFG-VS) has shown advantages with high spectral resolution and accurate spectral line shape. However, due to the lower peak intensity for the long picosecond pulse used in achieving sub-wavenumber resolution in the HR-BB-SFG-VS measurement, only molecular interfaces with relatively strong signal have been studied.
View Article and Find Full Text PDFMagn Reson Lett
May 2025
State Key Laboratory of Petroleum Resources and Engineering, China University of Petroleum (Beijing), Beijing, 102249, China.
Low-field nuclear magnetic resonance (NMR) has broad application prospects in the exploration and development of unconventional oil and gas reservoirs. However, NMR instruments tend to acquire echo signals with relatively low signal-to-noise ratio (SNR), resulting in poor accuracy of spectrum inversion. It is crucial to preprocess the low SNR data with denoising methods before inversion.
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