Matilde Brovero
Automated Image-Based Particle Tracking for Drug Delivery Systems: From Earth to Microgravity Environments.
Rel. Filippo Molinari, Massimo Salvi, Alessandro Grattoni, Nicola Di Trani. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2025
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Abstract
Nanofluidic represents a critical frontier in understanding fluid behavior at nanoscale dimensions, where conventional macroscale principles fail to describe particle motion. At these microscopic scales, emerging forces alter fluid dynamics, necessitating novel theoretical frameworks for comprehending particle movement and interaction. Understanding these nanoscale phenomena is essential for developing sophisticated implantable drug delivery devices. By examining the relationships between pH, molecular dimensions, and channel characteristics, the study demonstrates a pathway to developing highly personalized therapeutic strategies. The experimental approach is based on a specialized device with a macroscale input channel connected to microchannels, designed to investigate particle diffusion dynamics. Notably, the experiments were conducted both on the International Space Station and in terrestrial environments, enabling a comprehensive analysis of gravitational influences on transport mechanisms.
This work introduces a custom image processing algorithm capable of segmenting and tracking particles, even across noisy microscopy images, addressing the significant challenge of managing complex nanoscale datasets
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