-
Lyda Hill Department of Bioinformatics, Green Center for Systems Biology, UT Southwestern Medical Center
- Dallas, Texas
- https://www.danuserlab-utsw.org/
- https://www.cellularsignaltransduction.org/
- https://www.metastasis-imaging.org/
- @DanuserLab
Stars
A Matlab package for segmentation of filament and the orientation.
Pipeline for inference of Granger-causal relations in molecular systems to study actin regulation in lamellipodia
u-inferforce (Traction Force Microscopy) is a MATLAB software that reconstructs traction forces of cells adhered on elastic gel doped with beads.
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.
Compute causal relationships between individual pixels in 2D videos over space and time to reveal salient dynamics using a variety of causal measures
A Matlab software package to do 2D cell segmentation.
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…
Analyze local cell edge motions (e.g. protrusion and retraction) and to locally sample intracellular fluorescence signals in 2D fluorescence microscopy data.
Transform 3D cell surfaces into different representations including topographic maps, 3D spheres, and 2D images for doing optimized quantification, data analysis and machine learning.
The computational platform u-signal3D defines a shape-invariant representation of the spatial scales of molecular organization at the cell surface, enabling comparison and machine-learning of signa…
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.
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.
Detect morphological motifs, such as blebs, filopodia, and lamellipodia, from 3D images of surfaces, particularly images of cell surfaces.