
The Assaf Zaritsky lab of computational cell dynamics is dedicated to uncovering biological insights and developing specialized analytical tools for cell imaging data. Their work focuses on applying data science, machine learning, and computer vision to microscopy images to reveal hidden patterns in cellular behavior. The lab collaborates with experimental biologists to address diverse biological questions, leveraging techniques such as deep learning, time series analysis, and network algorithms. Their research spans areas like visual interpretability of deep learning models, context-dependent identification of spatial motifs, and quantifying cellular communication, aiming to make a significant impact in cell biology.

The Assaf Zaritsky lab of computational cell dynamics is dedicated to uncovering biological insights and developing specialized analytical tools for cell imaging data. Their work focuses on applying data science, machine learning, and computer vision to microscopy images to reveal hidden patterns in cellular behavior. The lab collaborates with experimental biologists to address diverse biological questions, leveraging techniques such as deep learning, time series analysis, and network algorithms. Their research spans areas like visual interpretability of deep learning models, context-dependent identification of spatial motifs, and quantifying cellular communication, aiming to make a significant impact in cell biology.