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fluoanalysis matlab toolbox  (MathWorks Inc)


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    Structured Review

    MathWorks Inc fluoanalysis matlab toolbox
    Main GUI of the <t>FluoAnalysis</t> toolbox. A multi-tiff file, imported into the GUI with the identified ROIs marked by yellow contours ( top left ). Average projection of the 546 imported frame is visible at the ( top right ), followed by a thresholded binary image and the ROIs in pseudo colors below. ROI detection and ΔF/F 0 calculation parameters are located in the middle column. The calculated ΔF/F 0 traces for all identified ROIs during a control period and application of 1 mM ATP to a hippocampal brain slice expressing GCaMP2 calcium-sensitive fluorescent protein in neurons and astrocytes are visible in the bottom left.
    Fluoanalysis Matlab Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1154 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/fluoanalysis matlab toolbox/product/MathWorks Inc
    Average 96 stars, based on 1154 article reviews
    fluoanalysis matlab toolbox - by Bioz Stars, 2026-03
    96/100 stars

    Images

    1) Product Images from "FluoAnalysis: An Open-Source MATLAB Toolbox for Analysis of Calcium Imaging Measurements of Oscillatory Astrocytic and Neuronal Networks"

    Article Title: FluoAnalysis: An Open-Source MATLAB Toolbox for Analysis of Calcium Imaging Measurements of Oscillatory Astrocytic and Neuronal Networks

    Journal: Brain Sciences

    doi: 10.3390/brainsci14080830

    Main GUI of the FluoAnalysis toolbox. A multi-tiff file, imported into the GUI with the identified ROIs marked by yellow contours ( top left ). Average projection of the 546 imported frame is visible at the ( top right ), followed by a thresholded binary image and the ROIs in pseudo colors below. ROI detection and ΔF/F 0 calculation parameters are located in the middle column. The calculated ΔF/F 0 traces for all identified ROIs during a control period and application of 1 mM ATP to a hippocampal brain slice expressing GCaMP2 calcium-sensitive fluorescent protein in neurons and astrocytes are visible in the bottom left.
    Figure Legend Snippet: Main GUI of the FluoAnalysis toolbox. A multi-tiff file, imported into the GUI with the identified ROIs marked by yellow contours ( top left ). Average projection of the 546 imported frame is visible at the ( top right ), followed by a thresholded binary image and the ROIs in pseudo colors below. ROI detection and ΔF/F 0 calculation parameters are located in the middle column. The calculated ΔF/F 0 traces for all identified ROIs during a control period and application of 1 mM ATP to a hippocampal brain slice expressing GCaMP2 calcium-sensitive fluorescent protein in neurons and astrocytes are visible in the bottom left.

    Techniques Used: Control, Slice Preparation, Expressing

    A GUI for classification and spectral analysis of Ca 2+ imaging data of individual cells. High Ca 2+ imaging sampling rate (68 Hz) together with the unique spectral analysis capabilities of the FluoAnalysis toolbox enables the identification of a high-frequency imaging signal that corresponds to the firing rate of a cortical pyramidal cell as measured by patch clamp electrophysiology. All imaged cells (listed on the right) can be individually investigated. Automatic classification of the cells as neurons or astrocytes, based on the ratio of green and red channel intensities in the ROIs, can be manually overridden. Wavelet analysis can be easily applied at different frequency bands.
    Figure Legend Snippet: A GUI for classification and spectral analysis of Ca 2+ imaging data of individual cells. High Ca 2+ imaging sampling rate (68 Hz) together with the unique spectral analysis capabilities of the FluoAnalysis toolbox enables the identification of a high-frequency imaging signal that corresponds to the firing rate of a cortical pyramidal cell as measured by patch clamp electrophysiology. All imaged cells (listed on the right) can be individually investigated. Automatic classification of the cells as neurons or astrocytes, based on the ratio of green and red channel intensities in the ROIs, can be manually overridden. Wavelet analysis can be easily applied at different frequency bands.

    Techniques Used: Imaging, Sampling, Patch Clamp

    Comparison of features of the FluoAnalysis toolbox with other calcium imaging analysis tools.
    Figure Legend Snippet: Comparison of features of the FluoAnalysis toolbox with other calcium imaging analysis tools.

    Techniques Used: Comparison, Imaging



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    fluoanalysis matlab toolbox  (MathWorks Inc)
    96
    MathWorks Inc fluoanalysis matlab toolbox
    Main GUI of the <t>FluoAnalysis</t> toolbox. A multi-tiff file, imported into the GUI with the identified ROIs marked by yellow contours ( top left ). Average projection of the 546 imported frame is visible at the ( top right ), followed by a thresholded binary image and the ROIs in pseudo colors below. ROI detection and ΔF/F 0 calculation parameters are located in the middle column. The calculated ΔF/F 0 traces for all identified ROIs during a control period and application of 1 mM ATP to a hippocampal brain slice expressing GCaMP2 calcium-sensitive fluorescent protein in neurons and astrocytes are visible in the bottom left.
    Fluoanalysis Matlab Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/fluoanalysis matlab toolbox/product/MathWorks Inc
    Average 96 stars, based on 1 article reviews
    fluoanalysis matlab toolbox - by Bioz Stars, 2026-03
    96/100 stars
    		  Buy from Supplier

    Image Search Results


    Main GUI of the FluoAnalysis toolbox. A multi-tiff file, imported into the GUI with the identified ROIs marked by yellow contours ( top left ). Average projection of the 546 imported frame is visible at the ( top right ), followed by a thresholded binary image and the ROIs in pseudo colors below. ROI detection and ΔF/F 0 calculation parameters are located in the middle column. The calculated ΔF/F 0 traces for all identified ROIs during a control period and application of 1 mM ATP to a hippocampal brain slice expressing GCaMP2 calcium-sensitive fluorescent protein in neurons and astrocytes are visible in the bottom left.

    Journal: Brain Sciences

    Article Title: FluoAnalysis: An Open-Source MATLAB Toolbox for Analysis of Calcium Imaging Measurements of Oscillatory Astrocytic and Neuronal Networks

    doi: 10.3390/brainsci14080830

    Figure Lengend Snippet: Main GUI of the FluoAnalysis toolbox. A multi-tiff file, imported into the GUI with the identified ROIs marked by yellow contours ( top left ). Average projection of the 546 imported frame is visible at the ( top right ), followed by a thresholded binary image and the ROIs in pseudo colors below. ROI detection and ΔF/F 0 calculation parameters are located in the middle column. The calculated ΔF/F 0 traces for all identified ROIs during a control period and application of 1 mM ATP to a hippocampal brain slice expressing GCaMP2 calcium-sensitive fluorescent protein in neurons and astrocytes are visible in the bottom left.

    Article Snippet: In conclusion, the FluoAnalysis MATLAB toolbox provides a powerful and versatile platform for the comprehensive analysis of calcium imaging and electrophysiological data, supporting a wide range of research applications in neuroscience.

    Techniques: Control, Slice Preparation, Expressing

    A GUI for classification and spectral analysis of Ca 2+ imaging data of individual cells. High Ca 2+ imaging sampling rate (68 Hz) together with the unique spectral analysis capabilities of the FluoAnalysis toolbox enables the identification of a high-frequency imaging signal that corresponds to the firing rate of a cortical pyramidal cell as measured by patch clamp electrophysiology. All imaged cells (listed on the right) can be individually investigated. Automatic classification of the cells as neurons or astrocytes, based on the ratio of green and red channel intensities in the ROIs, can be manually overridden. Wavelet analysis can be easily applied at different frequency bands.

    Journal: Brain Sciences

    Article Title: FluoAnalysis: An Open-Source MATLAB Toolbox for Analysis of Calcium Imaging Measurements of Oscillatory Astrocytic and Neuronal Networks

    doi: 10.3390/brainsci14080830

    Figure Lengend Snippet: A GUI for classification and spectral analysis of Ca 2+ imaging data of individual cells. High Ca 2+ imaging sampling rate (68 Hz) together with the unique spectral analysis capabilities of the FluoAnalysis toolbox enables the identification of a high-frequency imaging signal that corresponds to the firing rate of a cortical pyramidal cell as measured by patch clamp electrophysiology. All imaged cells (listed on the right) can be individually investigated. Automatic classification of the cells as neurons or astrocytes, based on the ratio of green and red channel intensities in the ROIs, can be manually overridden. Wavelet analysis can be easily applied at different frequency bands.

    Article Snippet: In conclusion, the FluoAnalysis MATLAB toolbox provides a powerful and versatile platform for the comprehensive analysis of calcium imaging and electrophysiological data, supporting a wide range of research applications in neuroscience.

    Techniques: Imaging, Sampling, Patch Clamp

    Comparison of features of the FluoAnalysis toolbox with other calcium imaging analysis tools.

    Journal: Brain Sciences

    Article Title: FluoAnalysis: An Open-Source MATLAB Toolbox for Analysis of Calcium Imaging Measurements of Oscillatory Astrocytic and Neuronal Networks

    doi: 10.3390/brainsci14080830

    Figure Lengend Snippet: Comparison of features of the FluoAnalysis toolbox with other calcium imaging analysis tools.

    Article Snippet: In conclusion, the FluoAnalysis MATLAB toolbox provides a powerful and versatile platform for the comprehensive analysis of calcium imaging and electrophysiological data, supporting a wide range of research applications in neuroscience.

    Techniques: Comparison, Imaging