Ambühl, MarkBrepsant, C.Meister, Jean-JacquesVerkhovsky, AlexanderSbalzarini, I. F.2012-01-112012-01-112012-01-11201210.1111/j.1365-2818.2011.03558.xhttps://infoscience.epfl.ch/handle/20.500.14299/76553WOS:000298987100006Accurate extraction of cell outlines from microscopy images is essential for analysing the dynamics of migrating cells. Phase-contrast microscopy is one of the most common and convenient imaging modalities for observing cell motility because it does not require exogenous labelling and uses only moderate light levels with generally negligible phototoxicity effects. Automatic extraction and tracking of high-resolution cell outlines from phase-contrast images, however, is difficult due to complex and non-uniform edge intensity. We present a novel image-processing method based on refined level-set segmentation for accurate extraction of cell outlines from high-resolution phase-contrast images. The algorithm is validated on synthetic images of defined noise levels and applied to real image sequences of polarizing and persistently migrating keratocyte cells. We demonstrate that the algorithm is able to reliably reveal fine features in the cell edge dynamics.Cell motilitycell outline trackingcell polarizationcell shapeedge detectionlevel-set segmentationnear-optimal thresholdingphase-contrast microscopyActive ContoursMigrating CellsMotile CellsMyosin-IiShapeMechanismDynamicsNetworkForceFronttext::journal::journal article::research article