The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB
Open accessAbstract
Digital particle image velocimetry (DPIV) is a non-intrusive analysis technique that is very popular for mapping flows quantitatively. To get accurate results, in particular in complex flow fields, a number of challenges have to be faced and solved: The quality of the flow measurements is affected by computational details such as image pre-conditioning, sub-pixel peak estimators, data validation procedures, interpolation algorithms and smoothing methods. The accuracy of several algorithms was determined and the best performing methods were implemented in a user-friendly open-source tool for performing DPIV flow analysis in Matlab.
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Cites
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“Detailed results of these tests are reported in [29] 2 .”
BackgroundDigital particle image velocimetry
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Raffel, M., Willert, C. E., Wereley, S. T., & Kompenhans, J. (2007) · Springer eBooks · doi:10.1007/978-3-540-72308-0 · Cited by 1,634
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Cited by
Maschmeyer, I., Lorenz, A. K., Schimek, K., Hasenberg, T., Ramme, A. P., Hübner, J., Lindner, M., Drewell, C., Bauer, S., Thomas, A., et al. (2015) · Lab on a Chip · doi:10.1039/c5lc00392j · Cited by 861
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
Rapid, large-volume, thermally controlled 3D printing using a mobile liquid interface
Walker, D. A., Hedrick, J. L., & Mirkin, C. A. (2019) · Science · doi:10.1126/science.aax1562 · Cited by 459
Cell–cell adhesion and 3D matrix confinement determine jamming transitions in breast cancer invasion
Ilina, O., Gritsenko, P. G., Syga, S., Lippoldt, J., La Porta, C. A. M., Chepizhko, O., Grosser, S., Vullings, M., Bakker, G.-J., Starruß, J., et al. (2020) · Nature Cell Biology · doi:10.1038/s41556-020-0552-6 · Cited by 375
Odd dynamics of living chiral crystals
Tan, T. H., Mietke, A., Li, J., Chen, Y., Higinbotham, H., Foster, P. J., Gokhale, S., Dunkel, J., & Fakhri, N. (2022) · Nature · doi:10.1038/s41586-022-04889-6 · Cited by 280
Metadata
- Authors
- Thielicke, W., & Stamhuis, E. J.
- Venue
- Journal of Open Research Software
- Publisher
- Ubiquity Press, Ltd.
- Published
- 2014-10-16
- Volume
- 2
- ISSN
- 2049-9647 (ISSN-L)
- OpenAlex
- W2138221697
- Cited by
- 2,391
- References
- 28
- FWCI
- 81.20
- Type
- journal article
- Language
- en
- Open access
- gold
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- Thielicke, W., & Stamhuis, E. J. (2014). PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB. Journal of Open Research Software. https://doi.org/10.5334/jors.bl
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
