Gyurov, Anton

Tokin, Radina

Conduction of an in vivo experiment for measuring beta -cell cytosol viscosity, via estimating the mean square displacement of the Brownian motion of superparamagnetic iron oxide nano-particles, requires a thorough investigation of possible experimental outcomes. This paper presents computer simulations as a tool for methodological planning of future experimental procedures and settings. The developed models for nano-particle Brownian motion show that possible difi culties, associated with limitations of the observational techniques, can be overcome by increasing the number of measurements. In addition, short time observations with more repetitions give better results. The possibility of interactions between the nano-particle and beta-cell insulin granules is also investigated. Results obtained by the simulations suggest that these interactions do not aff ect the mean square displacement of the particle. Theoretical investigation of the mean distance between insulin granules shows the need of a dynamical granule system for the simulation. Simulations are provided both for tracing single nano-particles and clouds of nano-particles. In the cloud case, we estimate the cytosol viscosity from counting successive numbers of particles in a test window at fixed time intervals.Conduction of an in vivo experiment for measuring beta -cell cytosol viscosity, via estimating the mean square displacement of the Brownian motion of superparamagnetic iron oxide nano-particles, requires a thorough investigation of possible experimental outcomes. This paper presents computer simulations as a tool for methodological planning of future experimental procedures and settings. The developed models for nano-particle Brownian motion show that possible difi culties, associated with limitations of the observational techniques, can be overcome by increasing the number of measurements. In addition, short time observations with more repetitions give better results. The possibility of interactions between the nano-particle and beta-cell insulin granules is also investigated. Results obtained by the simulations suggest that these interactions do not aff ect the mean square displacement of the particle. Theoretical investigation of the mean distance between insulin granules shows the need of a dynamical granule system for the simulation. Simulations are provided both for tracing single nano-particles and clouds of nano-particles. In the cloud case, we estimate the cytosol viscosity from counting successive numbers of particles in a test window at fixed time intervals

Modeling the measurement of cytosol viscosity of pancreatic beta-cells by nano-particle tracing

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Roskilde Universitet