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Updated: Dec 25, 2025
Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
Published on: June 21, 2022
Insights into the design of spray systems for cell therapies for retinal disease using computational modelling
Miriam Nweze1,2, Tim Baker1, G Astrid Limb3
1Department of Mechanical Engineering, University College London, UK.
Abstract:
Chronic eye diseases are the main cause of vision loss among adults. Among these, retinal degenerative diseases affect millions of people globally, causing permanent loss of cells and organ dysfunction. Despite recent progress in developing stem cell therapies for retinal diseases, methods for delivery remain an area of intense research. Aerosol technology is a promising technique with the potential to spray cells evenly and directly across the retinal surface, promoting cell attachment and survival. Here we implement mathematical modelling of the spraying process to develop organ-specific spraying parameters in this therapeutic scenario. Firstly, we characterise the rheological parameters for a typical hydrogel used for spraying cells. These parameters are then integrated into a 3D computational model of an adult human eye under realistic surgical conditions. Simulation results provide quantitative relationships between the volume flow rate of the cell-laden hydrogel, external pressure needed for aerosolization, angle of the spraying, and properties of the cell delivery. An experimental assessment is also carried out to explore the impact of spraying under the regimes identified by the computational model on cell viability. This is the first stage towards using computational models to inform the design of spray systems to deliver cell therapies onto the human retina.
Insights
Mathematical modeling optimizes aerosol spray parameters for retinal cell therapy delivery. This research aims to improve cell attachment and survival for treating chronic eye diseases.
Area of Science:
- Ophthalmology
- Biomedical Engineering
- Regenerative Medicine
Background:
- Chronic eye diseases cause significant vision loss globally.
- Retinal degenerative diseases lead to permanent cell loss and organ dysfunction.
- Efficient cell delivery methods are crucial for stem cell therapies targeting retinal diseases.
Purpose of the Study:
- To implement mathematical modeling for optimizing aerosol spraying parameters for retinal cell therapy.
- To develop organ-specific spraying parameters for enhanced cell delivery to the retina.
- To explore the potential of aerosol technology for treating retinal degenerative diseases.
Main Methods:
- Characterization of rheological parameters for cell-laden hydrogels.
- Development of a 3D computational model of the human eye for surgical simulations.
- Integration of rheological data and surgical conditions into the computational model.
- Experimental assessment of cell viability under modeled spraying regimes.
Main Results:
- Quantitative relationships were established between spraying parameters (flow rate, pressure, angle) and cell delivery properties.
- Computational model identified optimal spraying regimes for cell therapy delivery.
- Experimental validation explored the impact of modeled regimes on cell viability.
Conclusions:
- Mathematical modeling provides a pathway to design effective aerosol spray systems for retinal cell therapy.
- This study is a foundational step towards computational design of cell delivery systems for the human retina.
- Optimized spraying parameters can potentially improve cell attachment and survival in retinal therapies.
