Niranj Chandrasekaran talks about his work developing a large image-based cell profiling dataset and his long-standing fascination with physics and astronomy.
Anne Carpenter and Shantanu Singh discuss how they are expanding the uses of their image-based profiling method, Cell Painting, to speed up drug discovery and predict gene function.
Schmidt Fellow Juan Caicedo discusses the benefits of interdisciplinary research, how to mentor a team during a pandemic, and how he’s helping to fight racism.
A new machine-learning strategy can distinguish between healthy and degraded red blood cells, potentially offering a faster and better way to identify high-quality blood for transfusions.
The Joint Undertaking in Morphological Profiling with Cell Painting aims to accelerate drug discovery and development by creating a massive dataset of cells imaged under more than 140,000 different conditions