DocumentCode :
724926
Title :
Motion analysis of receptors and ligands in high resolution fluorescence microscopy images
Author :
Godinez, W.J. ; Lymperopoulos, K. ; Herten, D.-P. ; Rohr, K.
Author_Institution :
Dept. Bioinf. & Functional Genomics, Univ. of Heidelberg, Heidelberg, Germany
fYear :
2015
fDate :
16-19 April 2015
Firstpage :
703
Lastpage :
706
Abstract :
Monitoring the dynamical behavior of receptors and ligands via single-molecule fluorescence microscopy allows quantifying the interactions between these two subcellular structures at a very high spatial and temporal resolution. We have developed a probabilistic approach to determine the positions of receptors and ligands over time in two-channel image sequences of small protein complexes and single molecules as well as to estimate the transient motion behaviors of individual structures based on hybrid particle filters. We have applied the approach to synthetic data and to real fluorescence microscopy data of the erythropoietin receptor (EpoR) and its ligand erythropoietin (Epo) and quantified the performance. Our approach allows accurately analyzing the motion of the subcellular structures as well as correlating their motion with the interactions between the structures under different experimental conditions.
Keywords :
biochemistry; biomedical optical imaging; blood; cellular biophysics; fluorescence; image motion analysis; image resolution; image sequences; medical image processing; molecular biophysics; object tracking; optical microscopy; particle filtering (numerical methods); probability; proteins; spatiotemporal phenomena; Epo ligand; EpoR; dynamic ligand behavior monitoring; dynamic receptor behavior monitoring; erythropoietin ligand; erythropoietin receptor; high resolution fluorescence microscopy image; hybrid particle filter; ligand motion analysis; ligand position determination; motion correlation; probabilistic approach; receptor motion analysis; receptor position determination; receptor-ligand interaction quantification; single molecule image sequence; single-molecule fluorescence microscopy; small protein complex image sequence; spatial resolution; subcellular structure interaction; subcellular structure motion analysis; temporal resolution; transient motion behavior estimation; two-channel image sequence; Computational modeling; Data models; Hidden Markov models; Microscopy; Probabilistic logic; Tracking; Trajectory; Biomedical imaging; ligands; microscopy images; motion analysis; receptors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
Conference_Location :
New York, NY
Type :
conf
DOI :
10.1109/ISBI.2015.7163970
Filename :
7163970
Link To Document :
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