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@DanuserLab
DanuserLab
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Danuser Lab DanuserLab

We are leaders of two NIH research centers with national outreach on cancer cell imaging.Funded by NIH grants RM1GM145399 and U54CA268072

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  1. u-probeu-probePublic

    Processing of raw ratiometric biosensor images (for example based on FRET) into fully corrected "ratio maps" or "activation maps" — images showing the localized activation of the biosensor.

    MATLAB 7 1

  2. u-tracku-trackPublic

    Multiple-particle tracking designed to (1) track dense particle fields, (2) close gaps in particle trajectories resulting from detection failure, and (3) capture particle merging and splitting even…

    MATLAB 50 22

  3. u-track3Du-track3DPublic

    Multiple particle tracking in dense 3D particle fields complemented with dynamic regions of interest and trackability inferences for the automated exploration of large volumetric sequences.

    MATLAB 28 3

  4. u-registeru-registerPublic

    Analyze local cell edge motions (e.g. protrusion and retraction) and to locally sample intracellular fluorescence signals in 2D fluorescence microscopy data.

    MATLAB 6 1

  5. u-segment3Du-segment3DPublic

    Generate consensus 3D cells segmentations by combining 2D cell segmentations from any combination of xy, xz, yz views, compatible with outputs of any 2D segmentation method.

    MATLAB 19 5

  6. u-unwrap3Du-unwrap3DPublic

    Transform 3D cell surfaces into different representations including topographic maps, 3D spheres, and 2D images for doing optimized quantification, data analysis and machine learning.

    Jupyter Notebook 28 1


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