Particle tracking is a powerful technique used to study the movement of microscopic particles, from bacteria to colloids. But when it comes to tracking particles in the complex, maze-like environments of porous media, such as soil or rock, the challenges can be daunting. In this blog post, we’ll dive into a comprehensive study that evaluated the performance of various particle tracking algorithms in simulated porous media scenarios. The findings shed light on the nuances of these algorithms and their ability to accurately capture the intricate movements of particles, with important implications for fields like microbiology, colloidal chemistry, and hydrogeology.
Navigating the Maze: Particle Tracking in Porous Media
Particle tracking is a versatile technique that allows researchers to observe and analyze the movement of microscopic particles in a variety of settings, from the dynamics of microbiology and hydrogeology and beyond. By better understanding the capabilities and limitations of particle tracking algorithms in porous media, researchers can more accurately model and predict the behavior of microscopic particles in these complex environments, unlocking new insights and advancing our understanding of fundamental processes in science and technology.
Author credit: This article is based on research by Marc Berghouse, Filippo Miele, Lazaro J. Perez, Ankur Deep Bordoloi, Verónica L. Morales, Rishi Parashar.
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