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in house custom acquisition matlab software  (MathWorks Inc)


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    MathWorks Inc in house custom acquisition matlab software
    In House Custom Acquisition Matlab Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 324 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/control+software+matlab/MATLAB+Compiler/pm39435472-72-6-9
    Average 96 stars, based on 324 article reviews
    in house custom acquisition matlab software - by Bioz Stars, 2026-10
    96/100 stars

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    Related Articles

    other:

    Article Title: An Integrated Framework for Automated Image Segmentation and Personalized Wall Stress Estimation of Abdominal Aortic Aneurysms.
    Article Snippet: The script can be compiled into a standalone executable (e.g., via MATLAB Compiler) that runs with the free MATLAB Runtime, so end users do not require a MATLAB license [45].

    Article Title: RUBAT Studio: A Unified Workbench for Multichannel Bioacoustic Data Acquisition
    Article Snippet: RUBAT Studio v4.0 was packaged using the MATLAB Application Compiler to produce standalone executables requiring only the freely distributable MATLAB Runtime.

    Article Title: Autophagy dysfunction in iPSCs-derived neurons and midbrain organoids carrying a SNCA triplication.
    Article Snippet: Neural stat compiler files were used for data analysis in MATLAB.

    Article Title: Predicting Cell Adhesion States on Nanopillar Arrays with a Nano‐Bio Interface Model: From Modeling to Functional Device Design
    Article Snippet: Nanopillar arrays (NAs) are widely employed as versatile nanostructures for biological applications.. Cells on NAs adopt three adhesion states—“top”, “middle”, and “bottom”—each corresponding to distinct biological functions.. Although these adhesion states are influenced by NAs geometry, existing models overlook the role of the membrane reservoir—an intrinsic cellular property—in regulating membrane tension during cell settling, resulting in an incomplete mechanistic understanding and limited predictive capability.

    Article Title: An Integrated Framework for Automated Image Segmentation and Personalized Wall Stress Estimation of Abdominal Aortic Aneurysms
    Article Snippet: The script can be compiled into a standalone executable (e.g., via MATLAB Compiler) that runs with the free MATLAB Runtime, so end users do not require a MATLAB license [ ].

    Generated:

    Article Title: WAH- i : Optimising Microphone Array Geometry for Customised Localisation Accuracy
    Article Snippet: .. To support deployment beyond a MATLAB development environment, standalone executables were generated using the MATLAB Compiler ( ). ..



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    Image Search Results


    (A) The within‐network reliability analysis across three experimental trials (Trials 1, 2, and 3: BOLD‐fMRI scan at Days 0–1, Days 2–3, and Days 4–5, respectively) was assessed by the MN sub‐networks in the sham control group. No significant difference was observed in any sub‐networks. (B). The within‐network reliability across three trials was assessed by the MN sub‐networks in the KA group. A significantly large ICA intensity was observed in Trial 2 vs. Trial 1 in the PrR, Trial 2 vs. Trial 1 in the DHpL, and Trial 3 vs. Trial 2 in the DHpR. One asterisk (*) identifies adjusted P values lower than 0.1. (C). Intraclass correlation coefficient (ICC) reflects the test–retest reliability in four MN sub‐networks in the sham rats and KA rats. It indicated a low‐to‐excellent reliability in sham, while the average reliability dropped in the KA group.

    Journal: Epilepsia Open

    Article Title: Intrinsic brain network stability during kainic acid‐induced epileptogenesis

    doi: 10.1002/epi4.70002

    Figure Lengend Snippet: (A) The within‐network reliability analysis across three experimental trials (Trials 1, 2, and 3: BOLD‐fMRI scan at Days 0–1, Days 2–3, and Days 4–5, respectively) was assessed by the MN sub‐networks in the sham control group. No significant difference was observed in any sub‐networks. (B). The within‐network reliability across three trials was assessed by the MN sub‐networks in the KA group. A significantly large ICA intensity was observed in Trial 2 vs. Trial 1 in the PrR, Trial 2 vs. Trial 1 in the DHpL, and Trial 3 vs. Trial 2 in the DHpR. One asterisk (*) identifies adjusted P values lower than 0.1. (C). Intraclass correlation coefficient (ICC) reflects the test–retest reliability in four MN sub‐networks in the sham rats and KA rats. It indicated a low‐to‐excellent reliability in sham, while the average reliability dropped in the KA group.

    Article Snippet: Group‐level BOLD‐fMRI data were analyzed using GICA in the Group ICA of FMRI Toolbox (GIFT) Matlab software to identify MNs during brain resting state.

    Techniques: Control

    Configuration of the 2PLM imaging setup with an LC-SLM. M1- M7: mirrors; HWP: half-wave plate; P: polarizer; EOM: electro-optic modulator; SH: shutter; PH: pinhole; L1 - L4: lenses; LC-SLM: liquid crystal spatial light modulator; IR: iris diaphragm; GM: galvo mirrors; SL: scan lens; TL: tube lens; DM: dichroic mirror; OL: objective lens (20X); EFs: emission filters; PMTs: photomultiplier tubes; CAM: CMOS camera. The vortex mask (topological charge m = 5 used as an example) is combined with a blazed grating mask when projected onto the LC-SLM to separate the torus focal spot (1 st order) from the 0 th order of LC-SLM diffraction.

    Journal: Biomedical Optics Express

    Article Title: Out-of-focus signal rejection for in vivo pO 2 measurements using two-photon phosphorescence lifetime microscopy

    doi: 10.1364/BOE.532084

    Figure Lengend Snippet: Configuration of the 2PLM imaging setup with an LC-SLM. M1- M7: mirrors; HWP: half-wave plate; P: polarizer; EOM: electro-optic modulator; SH: shutter; PH: pinhole; L1 - L4: lenses; LC-SLM: liquid crystal spatial light modulator; IR: iris diaphragm; GM: galvo mirrors; SL: scan lens; TL: tube lens; DM: dichroic mirror; OL: objective lens (20X); EFs: emission filters; PMTs: photomultiplier tubes; CAM: CMOS camera. The vortex mask (topological charge m = 5 used as an example) is combined with a blazed grating mask when projected onto the LC-SLM to separate the torus focal spot (1 st order) from the 0 th order of LC-SLM diffraction.

    Article Snippet: The MATLAB-based control software of 2PLM used in the work is also available online [ ].

    Techniques: Imaging

    Examples of in vivo phosphorescence lifetime measurements for intravascular pO 2 from various locations in pial arterioles and venules obtained using 2PLM. (a) A survey image was acquired to select pO 2 imaging locations. Two locations (1 and 2) were selected in arterioles, and the other two locations (3 and 4) were selected in venules. Scale bar: 100 µm. P.C.: Photon counts. (b) Phosphorescence decays (dotted lines) acquired from the selected four locations in (a) with 2000 laser excitation cycles, and their corresponding lifetime and pO 2 values.

    Journal: Biomedical Optics Express

    Article Title: Out-of-focus signal rejection for in vivo pO 2 measurements using two-photon phosphorescence lifetime microscopy

    doi: 10.1364/BOE.532084

    Figure Lengend Snippet: Examples of in vivo phosphorescence lifetime measurements for intravascular pO 2 from various locations in pial arterioles and venules obtained using 2PLM. (a) A survey image was acquired to select pO 2 imaging locations. Two locations (1 and 2) were selected in arterioles, and the other two locations (3 and 4) were selected in venules. Scale bar: 100 µm. P.C.: Photon counts. (b) Phosphorescence decays (dotted lines) acquired from the selected four locations in (a) with 2000 laser excitation cycles, and their corresponding lifetime and pO 2 values.

    Article Snippet: The MATLAB-based control software of 2PLM used in the work is also available online [ ].

    Techniques: In Vivo, Imaging