Artículos de revistas
Performance of optical flow techniques for motion analysis of fluorescent point signals in confocal microscopy
Fecha
2012Registro en:
Machine Vision and Applications (2012) 23:675–689
DOI 10.1007/s00138-011-0362-8
Autor
Delpiano Costabal, José
Jara, Jorge
Scheer, Jan
Ramírez, Omar A.
Ruiz del Solar, Javier
Härtel, Steffen
Institución
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.