Projects (as of October 2022)
Addition of Realistic Materials and Textures to Blood Flow Dataset
- Created more realistic materials for blood cells and cancer cells from Blood Flow Dataset to create more realistic experience in VR data visualization
- Blood cells were made to look more soft and have less of a plastic sheen
- Cancer cells were made to look more rough, disfigured, and sickly instead of a plastic sheen
- Streamlines were left with a plastic look
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Blood cells and cancer cells had both a solid material option and a "force" option
- Solid: typical look of cells
- Red blood cells = deep red all over
- Cancer cells = green all over
- Force: shows effect of force within bloodstream on cells, low to high force
- Red blood cells = deep red to yellow
- Cancer cells = dark green to yellow
- You will have to paste in this link to see RBC data: https://gliese.cs.stthomas.edu:8008/datasets/MicrofluidicCTC.cdb
Creation of GUI for VR Application
- Used WebXR to create a GUI for VR data visualization
- GUI allows user to switch between different modes/views of data
- GUI can also disappear/move around the scene with user input
- You will have to paste in this link to see RBC data: https://gliese.cs.stthomas.edu:8008/datasets/MicrofluidicCTC.cdb
Workflow to Create High Quality Visualizations of Large Scale Datasets
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Used MPI, OpenEXR, and IceT to create high quality images of large scale datasets for visualization
- MPI: Message Passing Interface, used for parallel programming for faster rendering
- OpenEXR: allows for creation of EXR files, which are HDR image file with multiple channels
- IceT: 3D Image Compositor, uses object-space compositing to create images with depth information
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Workflow Process:
- Start with Python render script to create scene
- 3D geometry is split across ranks, rendered, and an EXR file of each result is created
- EXR files are rendered as partial images
- Partial images are composited into final image on one rank
- Can be used to create omnidirectional images
- Data featured here is graphene superlubricity (molecular dynamics) data from Argonne National Laboratory
