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instrument control toolbox  (MathWorks Inc)


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    Structured Review

    MathWorks Inc instrument control toolbox
    Instrument Control Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 456 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/matlab/Instrument+Control+Toolbox/pmc13678087-204-19-15
    Average 96 stars, based on 456 article reviews
    instrument control toolbox - by Bioz Stars, 2026-10
    96/100 stars

    Images

    Related Articles

    Imaging:

    Article Title: Hepatic HIF2α Modulates Extra‐Hepatic Disease‐Associated Phenotypes During Metabolic Dysfunction‐Associated Steatotic Liver Disease
    Article Snippet: Images were captured at ×20 magnification with a VS200 Research Slide Scanner (Olympus) using Slideview 5.0, imported to QuPath v0.5.1 and converted into RGB files. .. ImageJ (v.1.45 g) was used to perform background correction before importing the images into MATLAB (MATLAB and Imaging Processing Toolbox 2024a, MathWorks). .. The SMASH toolbox (GitHub—SMASHtoolbox/Release: Version 1.0 of the SMASH Toolbox, n.d.) was used to perform segmentation and fiber type analysis in MATLAB.

    Comparison:

    Article Title: Experimental evaluation, backpropagation neural network prediction and bibliometric analysis of bioelectricity production from agricultural wastes by microbial fuel cell.
    Article Snippet: In this study, a two-stage bioprocess combining enzymatic hydrolysis and a 4 microbial fuel cell (MFC) was established to evaluate electricity generation from three 5 agricultural wastes (mushroom sticks, rice husks and bamboo shavings).. The highest 6 glucose concentration of 4 g/L was obtained in the mushroom sticks hydrolysate.. 7 However, rice husk hydrolysate produced the highest power density of 26.02 mW/m at 8 a current density of 29.45 mA/m.

    Sensitivity:

    Article Title: Longitudinal Multi-Batch Characterisation of Beer Wort Fermentation Foam Using Image-Based Semantic Segmentation.
    Article Snippet: .. The linear mixed-effects sensitivity analysis described below was fitted in MATLAB R2024a with fitlme (Statistics and Machine Learning Toolbox version 24.1), so the statistical analysis reported here used both environments. ..

    Analysis:

    Article Title: Longitudinal Multi-Batch Characterisation of Beer Wort Fermentation Foam Using Image-Based Semantic Segmentation.
    Article Snippet: .. The linear mixed-effects sensitivity analysis described below was fitted in MATLAB R2024a with fitlme (Statistics and Machine Learning Toolbox version 24.1), so the statistical analysis reported here used both environments. ..

    other:

    Article Title: Solid-state NMR dipolar recoupling in the presence of large chemical shielding anisotropies by quaternion-based effective Hamiltonian optimal control.
    Article Snippet: Dipolar recoupling is a key element in magic-angle-spinning (MAS) solid-state NMR spectroscopy with reintroduced dipole–dipole coupling interactions providing information about internuclear distances and enabling transfer of polarization between spins in resolution-enhancing multiple-dimensional experiments.. Such methods may be challenged in many important applications by the presence of large anisotropic nuclear spin interactions such as chemical shielding anisotropy.. In this paper, we address this challenge by presenting quaternion-based optimal control.

    Platinum:

    Article Title: Integrating a Tumor Size-Overall Survival Model Into a Spatial Quantitative Systems Pharmacology Framework for Antibody-Drug Conjugates in Non-Small Cell Lung Cancer.
    Article Snippet: .. The model was implemented in SimBiology (MATLAB R2024b) and executed on the Metworx cloud platform (v25- 02.02.00- gsk) using 98 virtual CPU cores on Intel Xeon Platinum 8259CL processors (2.50 GHz) with 784 GB of system memory. ..

    Generated:

    Article Title: Simulation-based integration of an advanced spectroscopic refractive index biosensor via machine learning algorithms for detection of different concentrations of sucrose.
    Article Snippet: Sucrose amounts in a water solution have diverse applications in healthcare, metabolic regulation, and food quality control.. It is widely utilized as an alternative for physiological circumstances, fermenting phases, or quality assurance based on its level of concentration in biological and industrial samples.. Current detection methodologies, such as enzymatic tests or chromatography, provide remarkable precision but tend to be timeconsuming, dependent on reagents, and insufficient for monitoring in real time.



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