High-throughput applications on time-lapse microscopy allows us to follow the in vitro temporal and spatial evolution of cell populations; analysis on those kind of data will reveal cell motion parameters such as average speed, persistence and directionality, important informations for many research and therapeutic applications such as drug development or wound healing. The large quantity of frames usually acquired containing multiple cells require automated analysis methods dealing with a cell tracking process. In this work an either semi- or fully automated cell tracking system is proposed, developed to deal especially with time-lapse phase-contrast microscopy of fibroblasts, which are difficult to follow cells in some cases also for a human expert.
|Titolo:||Time-lapse phase-contrast microscopy fibroblast automated tracking|
|Data di pubblicazione:||2010|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|