Code and data repositories for our publications are available below.
A multi-modality approach for enhancing 4D flow magnetic resonance imaging via sparse representation
Data and source codes used in this study are available in the Purdue University Research Repository (Title: A multi-modality approach for enhancing 4D flow MRI via sparse representation. URL: https://purr.purdue.edu/publications/3872/1).
Data assimilation for modeling cavitation bubble dynamics
Data used in this study have been published and are available in the Purdue University Research Repository (Title: A data assimilation method for analysis of cavitation bubble dynamics. URL: https://purr.purdue.edu/publications/3715/1, doi:10.4231/0YAM-9T87).
Processing codes used for this study are available at https://github.itap.purdue.edu/jeshragh/AssimilatedModeling, https://github.itap.purdue.edu/PavlosVlachosGroup/AssimilatedModeling.
Dot tracking methodology for background-oriented schlieren (BOS)
Data used in this study have been published and are available in the Purdue University Research Repository
Rajendran, L. (2021), “Dot tracking methodology for background-oriented schlieren (BOS).” (DOI: 10.4231/X101-WK63).
Processing codes used for this study are available at:
https://github.itap.purdue.edu/PavlosVlachosGroup/dot-tracking-package.git
Estimation of the probability density function of random displacements from images
Data used in this study have been published and are available in the Purdue University Research Repository (Ahmadzadegan, A.; Ardekani, A.; Vlachos, P. (2020), “Estimation of the Probability Density Function of Random Displacements from Images.” (DOI: 10.4231/34TJ-S109).
Processing codes used for this study are available at https://github.itap.purdue.edu/PavlosVlachosGroup/iPED
Fibronectin-Expressing Mesenchymal Tumor Cells Promote Breast Cancer Metastasis
Data are available at: https://purr.purdue.edu/projects/fndrivenmetastasis
Processing codes are available at: https://github.itap.purdue.edu/PavlosVlachosGroup/mp_cell_tracking
Hydrodynamic attraction of bacteria to gas and liquid interfaces
Data are publicly available through the Gulf of Mexico Research Initiative Information & Data Cooperative (GRIIDC) at https://data.gulfresearchinitiative.org
Processing codes used for this study are available at https://github.itap.purdue.edu/PavlosVlachosGroup/Bacteria_Tracking
Meta-Uncertainty for Particle Image Velocimetry
Data used in this study have been published and are available at: https://purr.purdue.edu/projects/metauncertainty
Processing Codes are available at: https://github.itap.purdue.edu/PavlosVlachosGroup/meta-uncertainty.git
Multi-dimensional confocal laser scanning microscopy image correlation for nanoparticle flow velocimetry
Data are available at: https://purr.purdue.edu/projects/clsmvelocimetry
Processing codes are available at: https://github.itap.purdue.edu/PavlosVlachosGroup/clsm_velocimetry
Multi-feature-based Robust Cell Tracking
Data used in this study have been published and are available in the Purdue University Research Repository. Title: Multi-feature-based Robust Cell Tracking. URL: https://purr.purdue.edu/projects/mpcelltracking
Multi-modality cerebral aneurysm haemodynamic analysis: in vivo 4D flow MRI, in vitro volumetric particle velocimetry and in silico computational fluid dynamics
Data used in this study have been published and are available in the Purdue University Research Repository (Title: In vitro Volumetric Particle Velocimetry, Computational Fluid Dynamics (CFD), and in vivo 4D Flow MRI Hemodynamic Data in Two Patient- Specific Cerebral Aneurysms. URL: https://purr.purdue.edu/publi- cations/3136/1). Processing codes used for this study are available at https://github.com/mbrindise/IAHemodynamics.
On flowing soap films as experimental models of 2D Navier–Stokes flows
Data used in this study have been published and are available in the Purdue University Research Repository (Title: On flowing soap films as experimental models of 2D Navier-Stokes flows. URL: https://purr.purdue.edu/publications/3805/1).
Processing codes used for this study are available at:
PIV/BOS synthetic image generation in variable density environments for error analysis and experiment design
Data Repository: Data used in this study have been published and are available in the Purdue University Research Repository (https://purr.purdue.edu/publications/3560/1).
Processing codes used for this study are available at:
https://github.itap.purdue.edu/PavlosVlachosGroup/photon.git
Stereo-particle image velocimetry uncertainty quantification
Link to code and running example processed data: https://app.box.com/s/agmivf5bt71mpx3susat0eihzkbi8asq
To seal or not to seal: The closure dynamics of a splash curtain
Data used in this study have been published and are available in the Purdue University Research Repository (Title: To Seal or Not To Seal: Study of Splashes. URL: https://purr.purdue.edu/publications/3521/1).
Processing codes used for this study are available at https://github.itap.purdue.edu/jeshragh/ToSealOrNotToSeal, https://github.itap.purdue.edu/PavlosVlachosGroup/SplashCurtainModeling.
Uncertainty amplification due to density/refractive index gradients in background oriented schlieren experiments
Data used in this study have been published and are available in the Purdue University Research Repository (Title: Uncertainty Amplification in Background Oriented Schlieren . URL: https://purr.purdue.edu/projects/crlbforbos).
Processing codes used for this study are available at: https://github.rcac.purdue.edu/lrajendr/crlb-bos.git
Uncertainty estimation for ensemble particle image velocimetry
Processing codes used for this study are available at
https://github.itap.purdue.edu/PavlosVlachos Group/MPD_ensemblePIVuncertainty
Uncertainty quantification in density estimation from background oriented schlieren (BOS) measurements
Data used in this study have been published and are available in the Purdue University Research Repository.
Rajendran, L.; Zhang, J.; Bhattacharya, S.; Bane, S. P.; Vlachos, P. (2021), “Uncertainty quantification in density estimation from background oriented schlieren (BOS) measurements.” (DOI: 10.4231/D2FC-N191).
Processing codes used for this study are available at:
https://github.itap.purdue.edu/PavlosVlachosGroup/bos-uncertainty-package
https://github.itap.purdue.edu/PavlosVlachosGroup/bos-density-integration-package
Uncertainty-based Weighted Least Squares Density Integration for Background Oriented Schlieren
Data used in this study have been published and are available at: https://purr.purdue.edu/projects/wlsbos
Processing codes used for this study are available at:
https://github.itap.purdue.edu/PavlosVlachosGroup/wls-bos.git
https://github.itap.purdue.edu/PavlosVlachosGroup/bos-density-integration-package
Using uncertainty to improve pressure field reconstruction from PIV/PTV flow measurements
Link to source code for generating and processing synthetic flow-data: https://github.rcac.purdue.edu/zhan1589/Python_codes_version_controlled/tree/master/Pressure_reconstruction_GLS_package