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.
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
A new release of CellProfiler — the free, open-source quantitative image analysis package developed in the Broad Imaging Platform — brings a host of new features, including 3D image analysis.