New method for single-cell tracking uses fingerprints

Live-cell imaging is the primary tool to study cell growth, inheritance and dynamic processes across generations at single-cell level. Applications such as linking the genotype with a desired phenotype by imaging-based screenings still have a high error rate for separating and tracking individual cells. A new method developed by researchers from the group of Joerg Stelling now introduces the cell region fingerprint tracker based on key parameters drawn from different types of microscopy images.