Kondratieva P, Georgii J, Westermann R, Petermeier H, Kowalczyk W, Delgado A (2008)
Publication Type: Journal article, Original article
Publication year: 2008
Publisher: Springer Verlag (Germany)
Book Volume: 45
Pages Range: 203-222
Journal Issue: 2
URI: http://link.springer.com/content/pdf/10.1007/s00348-008-0472-x.pdf
DOI: 10.1007/s00348-008-0472-x
An experiment on living microorganisms is conducted to gain insight into their motion and fluid exchange characteristics. Biocompatible microscopic particle image velocimetry (PIV)-systems are used to capture images of seeded particles in the induced fluid flows. To enhance the abilities of these devices we present a model-based approach for the reconstruction of admissible flow fields from captured images. A priori knowledge of the physical model of the flow is used to iteratively refine a predicted flow field. A physics-based filter operation generates a velocity field that is consistent with the model of incompressible laminar flows described by the Navier-Stokes equations. Interactive steering of the reconstruction process is achieved by exploiting programmable graphics hardware as a co-processor for numerical computations. To validate our method, we estimate velocity vector fields from synthetic image pairs of flow scenarios for which ground truth velocity fields exist and real-world image sequences of the flow induced by sessile microorganisms. © 2008 Springer-Verlag.
APA:
Kondratieva, P., Georgii, J., Westermann, R., Petermeier, H., Kowalczyk, W., & Delgado, A. (2008). A real-time model-based approach for the reconstruction of fluid flows induced by microorganisms. Experiments in Fluids, 45(2), 203-222. https://doi.org/10.1007/s00348-008-0472-x
MLA:
Kondratieva, Polina, et al. "A real-time model-based approach for the reconstruction of fluid flows induced by microorganisms." Experiments in Fluids 45.2 (2008): 203-222.
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