Danuser Lab

u-track goes 3D!

Roudot et al. publish the expansion of u-track for 3D particle tracking problems. They solve three challenges: Motion modelling in 3D for enhanced particle association between frames. Visualization of dense particle movements in Dynamic ROIs with a context-driven focus. Provision of a trackability score defining the confidence of the tracker in every trajectory.

When cells catch the measles!

Mazloom-Farsibaf et al. introduces a computational framework to quantify molecular organization at the cell membrane independent of the cell shape.
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Gone without blebs

Weems et al. discover how blebbing enables oncogenes to actually become oncogenic.

Different places, different shapes

Segal et al. determines environmental cell shape adaptation of human Ewing sarcoma xenografts in zebrafish embryos.

Causal inference when perturbations fail

Noh, Isogai et al. publish an integrated statistical and experimental pipeline to determine the causal structure of molecular circuitry with significant redundancy and nonlinear interactions among components.

Measuring & Modeling Non-Genetic Mechanisms of Cancer Metastasis & Drug Resistance

Underlying cancer metastasis and drug resistance is an ability of cells to cope with ever-changing and often growth-challenging environmental conditions. Some of this adaptive power roots in clonal cell selection, but it also occurs via acute cell functional plasticity. Our lab collaborates with microscopy developers, chemists, developmental biologists, and clinicians to take an ever-closer look at the multi-factorial molecular processes underlying cellular plasticity. We develop cutting-edge computer vision approaches and statistical methods for causal inference to identify integrated circuits of molecular signaling, cell architecture, and cell shape that control the cellular decisions behind plastic behaviors.