The following publications are possibly variants of this publication:
- Tracking virus particles in fluorescence microscopy images using two-step multi-frame associationAstha Jaiswal, William J. Godinez, Roland Eils, Maik J. Lehmann, Karl Rohr. isbi 2012: 664-667 [doi]
- Tracking Virus Particles in Microscopy Images Using Multi-Frame AssociationAstha Jaiswal, William J. Godinez, Roland Eils, Maik J. Lehmann, Karl Rohr. bildmed 2012: 231-236 [doi]
- Direct combination of multi-scale detection and multi-frame association for tracking of virus particles in microscopy image dataAstha Jaiswal, William J. Godinez, Maik Jörg Lehmann, Karl Rohr. isbi 2016: 976-979 [doi]
- Probabilistic tracking of virus particles in fluorescence microscopy imagesWilliam J. Godinez, Marko Lampe, Stefan Wörz, Barbara Müller, Roland Eils, Karl Rohr. isbi 2008: 272-275 [doi]
- Two-filter probabilistic data association for tracking of virus particles in fluorescence microscopy imagesChristian Ritter, Andrea Imle, Ji Young Lee, Barbara Müller, Oliver T. Fackler, Ralf Bartenschlager, Karl Rohr. isbi 2018: 957-960 [doi]
- Tracking virus particles in fluorescence microscopy images via a particle Kalman filterWilliam J. Godinez, Karl Rohr. isbi 2015: 532-535 [doi]
- Tracking of Virus Particles in Time-Lapse Fluorescence Microscopy Image SequencesWilliam J. Godinez, Marko Lampe, Stefan Wörz, Barbara Müller, Roland Eils, Karl Rohr. isbi 2007: 256-259 [doi]
- Evaluation of Approaches for Tracking Virus Particles in Fluorescence Microscopy ImagesWilliam J. Godinez, Marko Lampe, Stefan Wörz, Barbara Müller, Roland Eils, Karl Rohr. bildmed 2009: 207-211 [doi]
- Probabilistic Tracking of Virus Particles in Fluorescence Microscopy Image SequencesWilliam J. Godinez, Marko Lampe, Stefan Wörz, Barbara Müller, Roland Eils, Karl Rohr. bildmed 2008: 448-452 [doi]
- Tracking of Virus Particles in Time-Lapse Fluorescence Microscopy Image SequencesWilliam J. Godinez, Marko Lampe, Stefan Wörz, Barbara Müller, Roland Eils, Karl Rohr. bildmed 2007: 6-10 [doi]
- Colocalization analysis and particle tracking in multi-channel fluorescence microscopy imagesYu Qiang, Ji Young Lee, Ralf Bartenschlager, Karl Rohr. isbi 2017: 646-649 [doi]
- Optimizing Particle Detection by Colocalization Analysis in Multi-Channel Fluorescence Microscopy ImagesChristian Ritter, A. Newrly, S. Schifferdecker, I. Roggenbach, B. Müller, Karl Rohr. isbi 2020: 882-885 [doi]
- Tracking multiple particles in fluorescence microscopy images via probabilistic data associationWilliam J. Godinez, Marko Lampe, Roland Eils, Barbara Müller, Karl Rohr. isbi 2011: 1925-1928 [doi]