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A new estimation strategy on locations of two-dimensional target scattering centers for radar target recognition is developed by using multiple high-resolution range profiles (HRRPs). Based on the range information contained in multiple HRRPs obtained from various observation angles, the estimated target scattering centers can be successfully located at the intersection points of the lines passing through the multiple HRRP points. This geometry-based algorithm can significantly reduce the computational complexity while ensuring the ability to estimate the two-dimensional target scattering centers. The computational complexity is formulated and compared to that of the conventional methods based on the synthetic aperture radar (SAR) images and HRRP sequences. In order to verify the performance of the proposed algorithm, the numerical and experimental results for three different types of aircraft were compared to those from SAR images. At the end of this article, the estimated radar scattering centers are used as the target features for the conventional classifier machine to confirm its target classification performance.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11548196 | PMC |
http://dx.doi.org/10.3390/s24216997 | DOI Listing |
Chaos
September 2025
Emergent Photonics Research Centre, Department of Physics, Loughborough University, LE11 3TU Loughborough, United Kingdom.
Photonic Reservoir Computing (RC) systems leverage the complex propagation and nonlinear interaction of optical waves to perform information processing tasks. These systems employ a combination of optical data encoding (in the field amplitude and/or phase), random scattering, and nonlinear detection to generate nonlinear features that can be processed via a linear readout layer. In this work, we propose a novel scattering-assisted photonic reservoir encoding scheme where the input phase is deliberately wrapped multiple times beyond the natural period of the optical waves [0,2π).
View Article and Find Full Text PDFMater Today Bio
October 2025
Leibniz Institute of Polymer Research Dresden, Division Polymer Biomaterials Science, Max Bergmann Center of Biomaterials Dresden, 01069, Dresden, Germany.
Glycosaminoglycan-based biohybrid hydrogels represent a powerful class of cell-instructive materials with proven potential in tissue engineering and regenerative medicine. Their biomedical functionality relies on a nanoscale polymer network that standard microscopy techniques cannot resolve. Here, we introduce an advanced analytical approach that integrates transmission electron microscopy, X-ray scattering, and computer simulations to directly and quantitatively characterize the nanoscale molecular network structure of these hydrogels.
View Article and Find Full Text PDFMed Phys
September 2025
Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
Background: Integrated mode proton imaging is a clinically accessible method for proton radiographs (pRads), but its spatial resolution is limited by multiple Coulomb scattering (MCS). As the amplitude of MCS decreases with increasing particle charge, heavier ions such as carbon ions produce radiographs with better resolution (cRads). Improving image resolution of pRads may thus be achieved by transferring individual proton pencil beam images to the equivalent carbon ion data using a trained image translation network.
View Article and Find Full Text PDFEur J Pharm Biopharm
September 2025
Department of Chemistry, School of Natural Sciences, Faculty of Science and Engineering, The University of Manchester, Manchester M13 9PL, United Kingdom. Electronic address:
To ensure safety, pharmaceuticals are rigorously tested for lipopolysaccharide (LPS) contamination, as this can trigger severe immune reactions in patients. Low Endotoxin Recovery (LER), describing the masking of spiked LPS controls in Limulus Amebocyte Lysate (LAL) assays, has been associated with the presence of chelating agents and surfactants in pharmaceutical formulations. The addition of excipients, such as Mg2, have shown the ability to mitigate the effects of LER, however, inconsistencies in various studies regarding the influence of the excipients on LPS aggregate characteristics and LER occurrence hinder a clear understanding of the mechanisms underlying LER.
View Article and Find Full Text PDFCell Rep Med
August 2025
Center for Biomedical-photonics and Molecular Imaging, Advanced Diagnostic-Therapy Technology and Equipment Key Laboratory of Higher Education Institutions in Shaanxi Province, School of Life Science and Technology, Xidian University, Xi'an, Shaanxi 710126, China; Engineering Research Center of Mole
Rapid identification and accurate diagnosis are critical for individuals with acute leukemia (AL). Here, we propose a combined deep learning and surface-enhanced Raman scattering (DL-SERS) classification strategy to achieve rapid and sensitive identification of AL with various subtypes and genetic abnormalities. More than 390 of cerebrospinal fluid (CSF) samples are collected as targets, encompassing healthy control, AL patients, and individuals with other diseases.
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