An Expectation Maximization Based Method for Subcellular Particle Tracking Using Multi-angle TIRF Microscopy

Abstract

Multi-angle total internal reflection fluorescence microscopy (MA-TIRFM) is a new generation of TIRF microscopy to study cellular processes near dorsal cell membrane in 4 dimensions (3D+t). To perform quantitative analysis using MA-TIRFM, it is necessary to track subcellular particles in these processes. In this paper, we propose a method based on a MAP… (More)
DOI: 10.1007/978-3-642-23623-5_79

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Cite this paper

@article{Liang2011AnEM, title={An Expectation Maximization Based Method for Subcellular Particle Tracking Using Multi-angle TIRF Microscopy}, author={Liang Liang and Hongying Shen and Pietro De Camilli and Derek Toomre and James S. Duncan}, journal={Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention}, year={2011}, volume={14 Pt 1}, pages={629-36} }