Open Access
1 September 2010 Brightness-compensated 3-D optical flow algorithm for monitoring cochlear motion patterns
Miriam von Tiedemann, Anders Fridberger, Mats Ulfendahl, Jacques H. R. Boutet de Monvel
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Abstract
A method for three-dimensional motion analysis designed for live cell imaging by fluorescence confocal microscopy is described. The approach is based on optical flow computation and takes into account brightness variations in the image scene that are not due to motion, such as photobleaching or fluorescence variations that may reflect changes in cellular physiology. The 3-D optical flow algorithm allowed almost perfect motion estimation on noise-free artificial sequences, and performed with a relative error of <10% on noisy images typical of real experiments. The method was applied to a series of 3-D confocal image stacks from an in vitro preparation of the guinea pig cochlea. The complex motions caused by slow pressure changes in the cochlear compartments were quantified. At the surface of the hearing organ, the largest motion component was the transverse one (normal to the surface), but significant radial and longitudinal displacements were also present. The outer hair cell displayed larger radial motion at their basolateral membrane than at their apical surface. These movements reflect mechanical interactions between different cellular structures, which may be important for communicating sound-evoked vibrations to the sensory cells. A better understanding of these interactions is important for testing realistic models of cochlear mechanics.
©(2010) Society of Photo-Optical Instrumentation Engineers (SPIE)
Miriam von Tiedemann, Anders Fridberger, Mats Ulfendahl, and Jacques H. R. Boutet de Monvel "Brightness-compensated 3-D optical flow algorithm for monitoring cochlear motion patterns," Journal of Biomedical Optics 15(5), 056012 (1 September 2010). https://doi.org/10.1117/1.3494564
Published: 1 September 2010
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Optical flow

Motion estimation

3D image processing

Confocal microscopy

Error analysis

Microscopes

Algorithm development

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