From beginner to expert, get in touch with us to talk about how these technologies might be useful for you.
Visualization Technology
We have some exciting cutting-edge technology in the lab that’s available for classes and researchers. This includes:
- A floor-to-ceiling, 360-degree visualization environment that includes sound and fits 15 to 20 people
- A room for working with VR (Virtual Reality) headsets, including Oculus Rift and HTC Vive, and a growing list of preinstalled VR Software
- Robust lab computers with Unity software for building 3D games and environments
We’ve begun compiling a list of academic uses of VR — if you see something missing, please contact us at DSLab@msu.edu and we will happily add it.
Workstation Software
3D Modeling and Photogrammetry
- Agisoft PhotoScan (on computer #18)
- AutoDesk (design, including AutoCAD, Maya, and Revit)
- Blender
- Maya 3D
- Meshlab (processing and editing 3D meshes)
- MeshMixer (triangle meshes for 3D)
- Oculus (3D design and viewing, on computers #25 and #26)
- Rhino (3D Modeling)
- RTI (Reflectance Transformance Imaging – for 3D scanning and simulating)
- Sketchup (Building Information and 3D Modeling)
- VirbEdit (360 photo/video editing)
- VR Toolkit (components for VR creation in Unity)
- Vuforia (Augmented Reality developing)
- Xnormal (for baking texture maps)
Design
- Adobe Creative Cloud
- AutoDesk (design, including AutoCAD, Maya, and Revit)
- Epic Games Launcher (for working with/testing games developed in Unreal)
- Krita, a Python library (digital painting and art tools)
- Lumion (architectural design, on computers #23, #24, #25, #26)
- MikTex (Tex/LaTeX typesetting)
- Photon Engine (game engine for multiplayer games in Unity)
- Processing (Visual arts coding)
- Unity, including Photon Engine, Vuforia, and the VR Toolkit (3D design and development)
- Unreal Engine (3d design and development)
Analysis
- Antconc (corpus/textual analysis)
- Cytoscape (network analysis)
- Gephi (network analysis)
- ImageJ (image processing and analysis)
- Nvivo (qualitative analysis)
- Tableau Desktop (data visualization)
Data and Programming
- Open Refine (data normalizing)
- Python (programming language), including Krita (digital painting and art tools)
- R and Rstudio (statistical programming language and interface)
- Ruby (programming language)
- Tabula (data collection)
Mapping
Other
Contact Us
MSU Digital Scholarship Lab
366 W. Circle Drive
East Lansing, MI 48824
DSLdesk@lib.msu.edu
517.355.4104
