Lab of Computational Cell Dynamics

Our paper showing that “shortcut learning” prevents from machine learning models trained to predict embryo implantation to effectively...

Together with Sarah Cohen (UNC) and Shalin Mehta (CZ Biohub) we will develop tools for data-driven modeling of inter-organelle dynamic...

Our paper on quantifying spatiotemporal inter-adhesion communication was featured on the the cover of Molecular Biology of the Cell...

להבין את הרשת החברתית של התאים https://t.co/AuiztjgEeq תודה לדבי טויבר ולברק רוטבלט מהמחלקה למדעי החיים על ההזמנה!

CELTIC is a model for cross-modality bioimage translation that incorporates biological-meaningful priors to improve the image-to-image...

We used micropillar-arrays to quantify the integration of local inter-adhesion F-actin information-flows to synchronize the adhesion...

Congratulations to Amos for submitting his Ph.D. dissertation today! Amos developing computational methods to characterize intermediate...

In a new Perspective we propose ‘datathons’ to bring bioimage data 'producers' and 'consumers' together to ‘crack tough nuts’ and solve...

Congratulations to Nitsan for completing his M.Sc .! Nitsan developed a method that "injects" cellular context (e.g., mitosis stage, cell...

Alon, Omri and Omer decided to pursue their M.Sc.   research in our lab!

Ben-Gurion University Researchers Develop Tool To Decipher AI Medical Decisions AI assesses embryo quality like a human expert (Hebrew)...

We established that optimizing a machine learning model to predict in vitro fertilization (IVF) embryo implantation success is not an...

DISCOVER is a generative model for visual interpretability of image-based classification models. DISCOVER’s disentanglement module...

Congratulations to Alon for completing his Ph.D.! Alon adopted concepts from anomaly detection to improve representations of high-content...

Our proposal "Multimodal, multiscale functional tissue state imaging" led by Maddy Parsons was selected for funding for the Bioimaging...

Congratulations to Sarit for completing her M.Sc.! Sarit developed a computational method to measure intracellular adhesion-mediated...

Deep learning's success in bioimaging comes at the expense of lack of biologically meaningful interpretations. In a new Comment Oded and...

Our proposal "Data-driven spatiotemporal characterization of cell death" with Mike Overholtzer was selected for funding by the U...

We repurposed micropillar-arrays (usually used to measure traction forces) to quantify spatiotemporal inter-adhesion communication! This...

We adopted concepts from anomaly detection to improve representations of high-content image-based phenotypic profiling while maintaining...