Significantly improved precision of cell migration analysis in time-lapse video microscopy through use of a fully automated tracking system

摘要: Cell motility is a critical parameter in many physiological as well pathophysiological processes. In time-lapse video microscopy, manual cell tracking remains the most common method of analyzing migratory behavior populations. addition to being labor-intensive, this susceptible user-dependent errors regarding selection "representative" subsets cells and determination precise positions. We have quantitatively analyzed these error sources, demonstrating that pancreatic cancer lead mis-calculation migration rates up 410%. order provide for objective measurements rates, we employed multi-target technologies commonly used radar applications develop fully automated identification system suitable high throughput screening sequences unstained living cells. demonstrate our automatic multi target identifies objects, follows individual computes with precision, clearly outperforming procedures.