Software and Data

OpenFV Tutorials

• Refractive Camera Calibration in Python (RefCalib.py)

FILM is on GitHub!

Our current software projects include libraries for wake analysis of 3D velocity fields and synthetic 3D PIV image generation. https://github.com/Flow-Imaging-Lab-at-Mudd

Data

We are committed to making sample data, including some images as well as processed data, available to enhance the development of new flow measurement and analysis tools. Data requests may also be made by contacting Prof. Mendelson directly. Unless otherwise noted, all data are released under a Creative Commons BY License.

3D PIV Wake Impulse and Kinetic Energy

Synthetic trials (Hill's spherical vortex) of impulse and kinetic energy error with varying noise, resolution, and filtering available on GitHub

Citation:
Li, D. J., & Mendelson, L. (2023). Volumetric measurements of wake impulse and kinetic energy for evaluating swimming performance. Experiments in Fluids, 64(3), 47. 

Jumping Archer Fish

Data collected with Prof. Alexandra H. Techet, MIT Department of Mechanical Engineering.

Animal use protocols approved by the Massachusetts Institute of Technology Committee on Animal Care (protocol no. 0315-026-18).

Time sequence of PIV images from 7 cameras, corresponding binary masks of the fish body, and camera calibration. [.zip file]

Citations:
Mendelson, L., & Techet, A. H. (2018). Multi-camera volumetric PIV for the study of jumping fish. Experiments in Fluids, 59(1), 10.
Mendelson, L., & Techet, A. H. (2020). Jumping archer fish exhibit multiple modes of fin–fin interaction. Bioinspiration & Biomimetics, 16(1), 016006.