Harness the power of cloud computing
Test and optimise designs rapidly without the need for extensive lab work saving both time and expense
Better organisation of cells leads to improved functionality
Highly efficient and scalable model enables the simulation of many cells and prediction of both cellular organisation and tissue shape
Scroll downCONDOR - glial cell model
Researchers at Open University have developed a 3D biophysical model, CONDOR, to simulate and predict cellular organisation and tissue shape. This technology allows for the rational design of moulds and scaffolds that encourage specific cell alignment without extensive lab work, saving both time and expense. Using statistical physics, CONDOR is able to predict the organisation of cells by simulating the feedback between cells and the extracellular matrix. The efficiency and scalability of the model allows for the simulation of many cells resulting in not only the prediction of microscopic effects (cellular organisation) but also the macroscopic reshaping of tissues.
CONDOR has been shown to accurately predict cell orientation and tissue shape in experiments conducted growing glial cells in a collagen gel as shown, right.
More information can be found at:
Microscopic biophysical model of self-organization in tissue due to feedback between cell- and macroscopic-scale forces
Hague et al. (2020) Phys. Rev. Research 2, 043217
Applications
Cultured tissues with specific cellular organisation for use in: