Name
Abstract | ||
|---|---|---|
Developmental biology studies biophysical processes that lead to the development of tissues, organs, and organisms. Like other complex scientific domains, developmental biology can greatly benefit from real-time interactive systems (RIS). In addition to utilizing various innovative RIS technologies, highly efficient domain models have to be provided as well. In this paper, we present a prototypical RIS for developmental biology research that achieves this goal by adapting an existing, GPU-driven, position-based physics engine called FleX to support the required biological interaction mechanisms. The adapted cell model is further augmented by a GPU-based substance diffusion system that simulates biochemical signals that allow cells to communicate and react to their environment. We present model specifics with an emphasis on their efficient integration in an existing game engine, and we elaborate on future improvements. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/SEARIS44442.2018.9180233 | 2018 IEEE 11th Workshop on Software Engineering and Architectures for Real-time Interactive Systems (SEARIS) |
Keywords | DocType | ISBN |
Computing methodologies—Interactive simulation,Computing methodologies—Agent/discrete models,Computing methodologies—Real-time simulation | Conference | 978-1-5386-6273-1 |
Citations | PageRank | References |
0 | 0.34 | 8 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andreas Knote | 1 | 0 | 0.34 |
| Sebastian Von Mammen | 2 | 126 | 24.68 |