The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Particle Image Velocimetry for MATLAB: Accuracy and enhanced algorithms in PIVlab
Open accessAbstract
PIVlab is a free toolbox and app for MATLAB®. It is used to perform Particle Image Velocimetry (PIV) with image data: A light sheet illuminates particles that are suspended in a fluid. A digital camera records a series of images of the illuminated particles. The input images are divided into sub-images (interrogation areas), and for each of these, a cross-correlation is performed. The resulting correlation matrix is used to estimate the most probable displacement within each interrogation area. PIV is extensively used for flow analyses where a thin laser sheet illuminates suspended particles in the fluid, but also for other moving textures, like cell migration or ultrasonic images. This paper presents several improvements that were implemented in PIVlab, enhancing the robustness of displacement estimates. The benefit of these improvements is evaluated using experimental images and synthetic images of particle and non-particle textures. Linear correlation and repeated correlation increase the robustness and decrease bias and root-mean-square (RMS) error of the displacement estimates. Particle images have a significantly lower bias and RMS error than non-particle images.
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Cites
PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB
Thielicke, W., & Stamhuis, E. J. (2014) · Journal of Open Research Software · doi:10.5334/jors.bl · Cited by 2,391
Self-citationDigital particle image velocimetry
Willert, C. E., & Gharib, M. (1991) · Experiments in Fluids · doi:10.1007/bf00190388 · Cited by 1,991
Theory of cross-correlation analysis of PIV images
Keane, R. D., & Adrian, R. J. (1992) · Flow Turbulence and Combustion · doi:10.1007/bf00384623 · Cited by 1,227
A particle image velocimetry system for microfluidics
Santiago, J. G., Wereley, S. T., Meinhart, C. D., Beebe, D. J., & Adrian, R. J. (1998) · Experiments in Fluids · doi:10.1007/s003480050235 · Cited by 1,174
Topological defects in epithelia govern cell death and extrusion
Saw, T. B., Doostmohammadi, A., Nier, V., Kocgozlu, L., Thampi, S., Toyama, Y., Marcq, P., Lim, C. T., Yeomans, J. M., & Ladoux, B. (2017) · Nature · doi:10.1038/nature21718 · Cited by 831
Transition from turbulent to coherent flows in confined three-dimensional active fluids
Wu, K.-T., Hishamunda, J. B., Chen, D. T. N., DeCamp, S. J., Chang, Y.-W., Fernández-Nieves, A., Fraden, S., & Dogic, Z. (2017) · Science · doi:10.1126/science.aal1979 · Cited by 277
Hart, D. P. (2000) · Laser Techniques Applied to Fluid Mechanics · doi:10.1007/978-3-642-56963-0_2 · Cited by 251
Quantitative Flow Analysis Around Aquatic Animals Using Laser Sheet Particle Image Velocimetry
Stamhuis, E. J., & Videler, J. J. (1995) · Journal of Experimental Biology · doi:10.1242/jeb.198.2.283 · Cited by 135
Ensemble correlation PIV applied to bubble plumes rising in a bubble column
Delnoij, E., Westerweel, J., Deen, N. G., Kuipers, J. A. M., & Swaaij, W. P. M. V. (1999) · Chemical Engineering Science · doi:10.1016/s0009-2509(99)00233-x · Cited by 129
Force-Induced Changes in Subnuclear Movement and Rheology
Booth-Gauthier, E. A., Alcoser, T. A., Yang, G., & Dahl, K. N. (2012) · Biophysical Journal · doi:10.1016/j.bpj.2012.10.039 · Cited by 91
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Metadata
- Authors
- Thielicke, W., & Sonntag, R.
- Venue
- Journal of Open Research Software
- Publisher
- Ubiquity Press, Ltd.
- Published
- 2021-05-31
- Volume
- 9
- Issue
- 1
- Pages
- 12
- ISSN
- 2049-9647 (ISSN-L)
- OpenAlex
- W3172557238
- Cited by
- 1,159
- References
- 11
- FWCI
- 88.88
- Type
- journal article
- Language
- en
- Open access
- gold
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