摘要：The study of cell behavior is of crucial importance in drug and
disease research. The fields of bioinformatics and biotechnology
rely on the collection, processing, and analysis of huge numbers
of biocellular images, including cell features such as cell size,
shape, and motility. However manual methods of inferring these
values are so onerous that automated methods of cell tracking and
segmentation are in high demand. In this paper, a novel
model-based cell tracker is designed to locate and track
individual cells. The proposed cell tracker has been successfully
applied to track hematopoietic stem cells (HSCs) based on
identified cell locations and probabilistic data association.
