Performance of optical flow techniques for motion analysis of fluorescent point signals in confocal microscopy

José Francisco Delpiano, Jorge Jara, Jan Scheer, Omar A. Ramírez, Javier Ruiz-Del-Solar, Steffen Härtel

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

29 Citas (Scopus)

Resumen

Optical flow approaches calculate vector fields which determine the apparent velocities of objects in timevarying 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 GABABR1 receptor subunits in dendrites of hippocampal neurons. Our results reveal that optical flow fields predict the movement of fluorescent point sources within an error of 3% for a maximum displacement of 160 nm. Displacement of agglomerated GABABR1 receptor subunits can be predicted correctly for maximum displacements of 640 nm. Based on these results, we introduce a criteria to derive the optimum parameter combinations for the calculation of the optical flow fields in experimental images. From these results, temporal sampling frequencies for image acquisition can be derived to guarantee correct motion estimation for biological objects.

Idioma originalInglés estadounidense
Páginas (desde-hasta)675-689
Número de páginas15
PublicaciónMachine Vision and Applications
Volumen23
N.º4
DOI
EstadoPublicada - jul 2012

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