%0 Journal Article %1 noKey %A Delpiano, José %A Jara, Jorge %A Scheer, Jan %A Ramírez, OmarA. %A Ruiz-del Solar, Javier %A Härtel, Steffen %D 2012 %I Springer-Verlag %J Machine Vision and Applications %K biology microscopy of_applications optical_flow %N 4 %P 675-689 %R 10.1007/s00138-011-0362-8 %T Performance of optical flow techniques for motion analysis of fluorescent point signals in confocal microscopy %U http://dx.doi.org/10.1007/s00138-011-0362-8 %V 23 %X Optical flow approaches calculate vector fields which determine the apparent velocities of objects in time-varying image sequences. They have been analyzed extensively in computer science using both natural and synthetic video sequences. In life sciences, there is an increasing need to extract kinetic information from temporal image sequences which reveals the interplay between form and function of microscopic biological structures. In this work, we test different variational optical flow techniques to quantify the displacements of biological objects in 2D fluorescent image sequences. The accuracy of the vector fields is tested for defined displacements of fluorescent point sources in synthetic image series which mimic protein traffic in neuronal dendrites, and for GABA

@article{noKey, abstract = {Optical flow approaches calculate vector fields which determine the apparent velocities of objects in time-varying image sequences. They have been analyzed extensively in computer science using both natural and synthetic video sequences. In life sciences, there is an increasing need to extract kinetic information from temporal image sequences which reveals the interplay between form and function of microscopic biological structures. In this work, we test different variational optical flow techniques to quantify the displacements of biological objects in 2D fluorescent image sequences. The accuracy of the vector fields is tested for defined displacements of fluorescent point sources in synthetic image series which mimic protein traffic in neuronal dendrites, and for GABA}, added-at = {2013-10-24T14:10:11.000+0200}, author = {Delpiano, José and Jara, Jorge and Scheer, Jan and Ramírez, OmarA. and Ruiz-del Solar, Javier and Härtel, Steffen}, biburl = {https://www.bibsonomy.org/bibtex/2441f4e6e28cf7399d6eda4d402d81f42/alex_ruff}, description = {Performance of optical flow techniques for motion analysis of fluorescent point signals in confocal microscopy - Springer}, doi = {10.1007/s00138-011-0362-8}, interhash = {45c25d98b8ceffa6c9b31e8ea5e05006}, intrahash = {441f4e6e28cf7399d6eda4d402d81f42}, issn = {0932-8092}, journal = {Machine Vision and Applications}, keywords = {biology microscopy of_applications optical_flow}, language = {English}, number = 4, pages = {675-689}, publisher = {Springer-Verlag}, timestamp = {2013-10-24T14:10:11.000+0200}, title = {Performance of optical flow techniques for motion analysis of fluorescent point signals in confocal microscopy}, url = {http://dx.doi.org/10.1007/s00138-011-0362-8}, volume = 23, year = 2012 }