Non-rigid multi-frame registration of live cell microscopy images

Abstract

Live cell microscopy images enable to study the motion of subcellular particles for understanding biological processes within cells. For accurate quantification of the particle motion, compensation of the motion and deformation of the cell nucleus is required. We introduce a multi-frame non-rigid registration approach for live cell microscopy image sequences. Compared to existing approaches using pairwise registration, our approach exploits information from multiple consecutive images simultaneously to improve the robustness and to enforce temporal consistency. Our approach has been successfully applied to live cell microscopy image sequences and an experimental comparison with pairwise registration has been carried out.