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@KinneretLab

KinneretLab

KinneretLab

The repositories here include the codes used in publications from the lab of Prof. Kinneret Keren (Technion), primarily for image analysis in the context of Hydra regeneration.

The repositories include

  • DisplayFunctions - Creating binary masks and image adjustment using CLAHE.

  • LayerSeparationFull - Separating signal from basal and apical surfaces in 3D stacks and creating 2D projection images from these signals.

  • EPySegAdapter - Our application of EPySeg, a package for segmenting cells in 2D epithelia.

  • OrientationAnalysis - Extracting orientation field and further analysis of nematic fibre orientation. Includes code adapted from Vahid K. Alilou (2024). FingerPrint Matching: A simple approach.

  • PostSegmentationAnalysis - Quantification of cell-based measures from cell segmented images and tools for analysis in relation to fibre organisation.

  • MATLABUtilityFunctions - Supporting utility functions for all repositories.

References:

The codes are provided here for reference and are annotated for accesibility, but have been developed primarily for internal use, so are not intended to be further supported beyond publication. If you use any of these, please cite our relevant publications.

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  1. PostSegmentationAnalysis PostSegmentationAnalysis Public

    MATLAB

  2. MATLABUtilityFunctions MATLABUtilityFunctions Public

    MATLAB

  3. OrientationAnalysis OrientationAnalysis Public

    This project contains all functions related to the nematic orientation analysis of the actin fibres. Includes the raw analysis of the fibres, the plotting and display of the results, and the manual…

    MATLAB

  4. DisplayFunctions DisplayFunctions Public

    This project contains the functions used for creating raw and refined masks, and for adjusting images using CLAHE.

    MATLAB

  5. LayerSeparationFull LayerSeparationFull Public

    MATLAB 1

  6. EPySegAdapter EPySegAdapter Public

    Our application of using EPySeg without their GUI and using our trained model

    Python

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