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Nonrigid Registration of 2-D and 3-D Dynamic Cell Nuclei Images for Improved Classification of Subcellular Particle Motion

机译:2-D和3-D动态细胞核图像的非刚性配准用于亚细胞粒子运动的改进分类

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The observed motion of subcellular particles in fluorescence microscopy image sequences of live cells is generally a superposition of the motion and deformation of the cell and the motion of the particles. Decoupling the two types of movements to enable accurate classification of the particle motion requires the application of registration algorithms. We have developed an intensity-based approach for nonrigid registration of multichannel microscopy image sequences of cell nuclei. First, based on 3-D synthetic images we demonstrate that cell nucleus deformations change the observed motion types of particles and that our approach allows to recover the original motion. Second, we have successfully applied our approach to register 2-D and 3-D real microscopy image sequences. A quantitative experimental comparison with previous approaches for nonrigid registration of cell microscopy has also been performed.
机译:在活细胞的荧光显微镜图像序列中观察到的亚细胞颗粒的运动通常是细胞运动和变形以及颗粒运动的叠加。解耦两种运动以实现对粒子运动的精确分类需要应用配准算法。我们已经开发出一种基于强度的方法,用于细胞核的多通道显微图像序列的非刚性配准。首先,基于3-D合成图像,我们证明了细胞核变形会改变观察到的粒子运动类型,并且我们的方法允许恢复原始运动。其次,我们已经成功地将我们的方法应用于2D和3D真实显微镜图像序列的配准。还进行了与非刚性细胞显微镜配准的先前方法的定量实验比较。

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