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personal computer-based signal processing and image reconstruction unit  (MathWorks Inc)


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    MathWorks Inc personal computer-based signal processing and image reconstruction unit
    Personal Computer Based Signal Processing And Image Reconstruction Unit, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/computer-based+image+processing+system/pmc06308968-29-64-68
    Average 90 stars, based on 1 article reviews
    personal computer-based signal processing and image reconstruction unit - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: Nonparametric 5D D - R 2 distribution imaging with single-shot EPI at 21.1 T: Initial results for in vivo rat brain
    Article Snippet: After image reconstruction in ParaVision, data were exported to MatLab (R2018b MathWorks Inc, MA, USA) for denoising using random matrix theory [ 85 ].

    Article Title: Mechanical forces orchestrate the metabolism of the developing oilseed rape embryo.
    Article Snippet: Image reconstruction was performed using MATLAB software (MathWorks, https://www. mathworks.com/).

    Article Title: Ultra-Large Scale Stitchless AFM: Advancing Nanoscale Characterization and Manipulation with Zero Stitching Error and High Throughput.
    Article Snippet: The atomic force microscopy (AFM) is an important tool capable of characterization, measurement, and manipulation at the nanoscale with a vertical resolution of less than 0.1 nm.. However, the conventional AFMs’ scanning range is around 100 μm, which limits their capability for processing cross-scale samples.. In this study, it proposes a novel approach to overcome this limitation with an ultra-large scale stitchless AFM (ULSS-AFM) that allows for the high-throughput characterization of an area of up to 1 × 1 mm2 through a synergistic integration with a compliant nano-manipulator (CNM).

    Article Title: Regional differences in three-dimensional fiber organization, smooth muscle cell phenotype, and contractility in the pregnant mouse cervix
    Article Snippet: After image reconstruction, images were denoised ( ) and up-sampled by 2×, followed by weighted linear least squares tensor analysis , all using the remmi-MATLAB-toolbox (linked in the previous paragraph).

    Article Title: Evaluation of acoustic-thermal simulations of in vivo magnetic resonance guided focused ultrasound ablative therapy.
    Article Snippet: All image reconstruction, simulations, and computations were performed in MATLAB 2021a (MathWorks, Natick, MA, USA) on an IntelVR XeonVR Silver 4210 CPU (2.20 GHz).

    Article Title: The Performance of Sensitivity-Maps Method in Reconstructing Low Contrast and Multi-Contrast Objects for Microwave Imaging Applications
    Article Snippet: Image reconstruction is performed using MATLAB software.

    Article Title: Dielectric Characterization of Dispersive Head Tissue for Detection and Classification of Tumour Using Microwave Imaging Technique and Deep Learning Model
    Article Snippet: Microwave sensing is envisioned to be a reliable imaging technique for detecting and monitoring brain tumours.. It uses low-power, nonionized microwave signals to visualize the interior of the living tissues.. This study automatically exploits categorization of brain tumours using a deep neural network called theYOLOv5 l algorithm in non-invasivemicrowave images.

    Article Title: Fetal 3D cardiovascular cine image acquisition using radial sampling and compressed sensing
    Article Snippet: The Berkeley Advanced Reconstruction Toolbox (BART) interfaced with MATLAB (R2019a; MathWorks) was used for image reconstruction.



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