Lab of Computational Cell Dynamics

Computational cell dynamics

Amos is developing and applying methods methods for quantitative spatiotemporal characterization across scales of multicellular synchronization and organization.

Esraa is developing methods for quantitative spatiotemporal characterization of heterogeneous collective death in cell population.

Leor is developing methods for analysis and integration of multimodal bioimaging data.

Nitai is developing a method to optimize the antibody panel selection for multiplexed single cell spatial proteomics technologies

Nitsan is studying the interplay between cell context and cross modality bioimage translation.

Gad is working on long-range cell-cell mechanical communication.

Orit is mentoring students in multiple diverse projects, advising on computational and technical issues, formulating challenging research questions and keeping contact with collaborators.

Oded is developing methods for visual interpretability of deep learning models and applies then to the domain of in vitro fertilization (IVF)

Guy is developing methods to measure cell biological state transitions from the macromolecular to the cellular scales.

Sarit is developing a method to measure intracellular information transfer.

Noy is investigating the coupling between single cell signaling dynamics and multicellular synchronization.

Mark is developing methods to analyze spatial metallomics data and apply them to triple negative breast cancer patient samples.

Alon is developing methods to measure alterations in intracellular organization via microscopy-based high-content phenotypic screening and generative neural networks

Yuval is investigating the interplay between cell morphology and its intracellular molecular composition and organization

Lion is developing a method for visual interpretation of image-to-image transformation models and apply it to understand in-silico organelle localization.

Ariel is developing data-driven structural inference of biomolecular complexes in cells from super resolution microscopy data.

Leah is investigating the brain vasculature structure in Glioblastoma (GBM) patients data.

Reut is performing integrated analysis of fluorescence lifetime imaging microscopy (FLIM) and imaging mass cytometry (IMC) in the context of triple negative breast cancer tissue samples.