Biomedical Computer Vision Group, Department of Bioinformatics and Functional Genomics, University of Heidelberg, D-69120 Heidelberg, Germany.
IEEE Trans Image Process. 2011 Apr;20(4):1011-22. doi: 10.1109/TIP.2010.2076377. Epub 2010 Sep 13.
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.
活细胞荧光显微镜图像序列中观察到的亚细胞粒子的运动通常是细胞运动和变形与粒子运动的叠加。为了实现粒子运动的准确分类，需要应用配准算法来解耦这两种运动。我们已经开发了一种基于强度的方法，用于对细胞核的多通道显微镜图像序列进行非刚性配准。首先，基于 3D 合成图像，我们证明了细胞核变形会改变粒子的运动类型，并且我们的方法可以恢复原始运动。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。我们还与以前的细胞显微镜非刚性配准方法进行了定量实验比较。
