Robust parametric stabilization of moving cells with intensity correction in light microscopy image sequences

Solene Ozere, P. Bouthemy, F. Spindler, P. Paul-Gilloteaux, C. Kervrann
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引用次数: 12

Abstract

Automatically stabilizing moving living cells in fluorescence microscopy image sequences is required to attain and analyze the actual displacements of subcellular particles. We have designed a stabilization method which can handle within a single parametric framework, the estimation of the global motion and of the temporal intensity variation (e.g., due to photobleaching effect) that we have to compensate for. We have introduced extended parametric motion-intensity constraints and exploited a robust multiresolution estimation scheme insensitive to local independent motions (outliers). We demonstrate the efficiency and the accuracy of our stabilization method on three challenging cellular events: cell development, endosome displacements, protein recruitment.
光学显微镜图像序列中运动细胞强度校正的鲁棒参数稳定
在荧光显微镜图像序列中,需要自动稳定移动的活细胞来获得和分析亚细胞颗粒的实际位移。我们设计了一种稳定方法,可以在单一参数框架内处理全局运动和时间强度变化(例如,由于光漂白效应)的估计,我们必须补偿。我们引入了扩展参数运动强度约束,并利用了对局部独立运动(异常值)不敏感的鲁棒多分辨率估计方案。我们在三个具有挑战性的细胞事件上证明了我们的稳定方法的效率和准确性:细胞发育,内核体位移,蛋白质募集。
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