Real-Time Computer Vision-Based Cell Tracking

In collaboration with Intel, we are developing systems to track the spatiotemporal history of each and every cell and their progeny in stem cultures. Such systems can be used for applications ranging from basic biological discovery to QA/QC/optimization of stem cell expansion processes, i.e., processes to grow relatively small numbers of stem cells harvested from a patient into the millions of cells needed for therapeutic delivery of these cells back into the patient.