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image processing toolboxes in matlab  (MathWorks Inc)


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    MathWorks Inc image processing toolboxes in matlab
    Image Processing Toolboxes In Matlab, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2900 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/2016a+parallel+computing+toolbox+mathworks/Image+Processing+Toolbox/pm29477535-78-17-23
    Average 96 stars, based on 2900 article reviews
    image processing toolboxes in matlab - by Bioz Stars, 2026-09
    96/100 stars

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    Article Title: Hbs and Rst adhesion molecules provide a regional code that regulates cell elimination during epithelial remodeling
    Article Snippet: MATLAB with Image processing toolbox and Statistics and Machine learning toolbox , Mathworks , https://www.mathworks.com/.

    Article Title: Blocking microglial reactivity via purinergic receptors prevents subacute cognitive deficits after TIA.
    Article Snippet: For the microglia morphology analysis, confocal Z-stack images were processed, and microglial morphology features were extracted using custom-written scripts in MATLAB (R216b, The MathWorks, Natick, Massachusetts, USA), with dependencies on the Image Processing Toolbox as well as Statistics and Machine Learning Toolbox.

    Article Title: Fast-scanning small-angle X-ray scattering of hydrated biological cells
    Article Snippet: All data analysis is performed using MATLAB R2020a (The MathWorks, Inc., Natick, MA, USA) scripts, including the Image Processing Toolbox and functions of the Nanodiffraction Toolbox published by Nicolas et al. (2017).

    Article Title: Association of Maternal Antenatal Distress with Child Amygdala-Prefrontal Cortex Functional Connectivity at 2 - 3 Years in a South African Birth Cohort Study.
    Article Snippet: PFC parcellated areas were grouped according to their anatomical locations into four larger areas as the regions of interest (ROIs) (Figure 2) using the MATLAB (R2023b) image processing toolbox (version 23.2) [48].

    Article Title: A quantitative framework for multiscale analysis of Candida albicans biofilm development
    Article Snippet: Image processing in MATLAB We use MATLAB’s image processing toolbox to analyse experimental images for the hyphal tracking, area coverage, and biofilm front light-sheet analyses presented in this work.

    Software:

    Article Title: System and method for improving the clarity of overlapping objects
    Article Snippet: .. Such image processing software includes, but is not limited to, YOLO (real-time object detection algorithm that can identify objects and draw bounding boxes in a single pass through the image), Faster R-CNN (A deep learning-based framework that detects objects by proposing regions of interest and refining their boundaries), Single Shot MultiBox Detector (Detects objects and their bounding boxes using a single forward pass of a convolutional neural network), OpenCV (An open-source computer vision library that includes functions for image processing and drawing bounding boxes, though typically combined with machine learning models for detection), and MATLAB Image Processing Toolbox (tools for detecting and marking objects or text regions with bounding boxes, suitable for academic and research purposes). ..

    Refining:

    Article Title: System and method for improving the clarity of overlapping objects
    Article Snippet: .. Such image processing software includes, but is not limited to, YOLO (real-time object detection algorithm that can identify objects and draw bounding boxes in a single pass through the image), Faster R-CNN (A deep learning-based framework that detects objects by proposing regions of interest and refining their boundaries), Single Shot MultiBox Detector (Detects objects and their bounding boxes using a single forward pass of a convolutional neural network), OpenCV (An open-source computer vision library that includes functions for image processing and drawing bounding boxes, though typically combined with machine learning models for detection), and MATLAB Image Processing Toolbox (tools for detecting and marking objects or text regions with bounding boxes, suitable for academic and research purposes). ..



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    MathWorks Inc 2016a parallel computing toolbox mathworks
    Key Resources Table
    2016a Parallel Computing Toolbox Mathworks, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/2016a+parallel+computing+toolbox+mathworks/Parallel+Computing+Toolbox/pmc05568912-1273-33-36
    Average 95 stars, based on 1 article reviews
    2016a parallel computing toolbox mathworks - by Bioz Stars, 2026-09
    95/100 stars
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    Key Resources Table

    Journal: Neuron

    Article Title: A neural signature of divisive normalization at the level of multisensory integration in primate cortex

    doi: 10.1016/j.neuron.2017.06.043

    Figure Lengend Snippet: Key Resources Table

    Article Snippet: ​ Reagent or Resource Source Identifier Experimental Models: Organisms/Strains Macaca mulatta Primate Products N/A Software and Algorithms MATLAB 2016a statistics and machine learning toolbox Mathworks https://www.mathworks.com MATLAB 2016a optimization toolbox Mathworks https://www.mathworks.com MATLAB 2016a parallel-computing toolbox Mathworks https://www.mathworks.com MATLAB model simulation code This paper N/A TEMPO Experiment control system Reflective computing http://reflectivecomputing.com/ Visual stimulus generation code, written in Visual C++ using the OpenGL graphics libraries This paper; Gu et al. 2006 N/A Other Tungsten microelectrodes, Epoxylite insulated Frederic Haer Company https://www.fh-co.com MOOG 6DOF2000E, 6-degree-of-freedom motion platform Moog, Inc http://www.moog.com Christie Mirage S + 3K, digital light projector Christie Digital www.christiedigital.com Open in a separate window Key Resources Table Many neurons in macaque area MSTd show a specific form of cross-modal suppression Cross-modal suppression is predicted by a divisive normalization mechanism Neurons in area MT, which project to MSTd, do not show cross-modal suppression Multisensory integration in area MSTd likely involves divisive normalization

    Techniques: Software