Understanding how cells respond to internal and external inputs requires investigating cells within three-dimensional (3D) environments, which better mimic physiological conditions. Compared to ...

MEIDAR is a framework for efficient cell instance segmentation of multi-modality microscopy images. The above figure illustrates an overview of our approach. MEDIAR harmonizes data-centric and ...

Semantic cell classification built on top of Cellpose, with a whole slide image (WSI) workflow and a QuPath extension for integrated inference and import. --model_config MODEL_CONFIG One of 'conic', ...