A New Way of Imagining

Abstract

The realm of particle tracking is undergoing a significant transformation, driven by advancements in imaging technology. This thesis explores the innovative world of event cameras and their applications, focusing on their principles and comparative performance against established sCMOS (Scientific Complementary Metal-Oxide-Semiconductor) cameras. Event cameras, also known as dynamic vision sensors (DVS), represent a paradigm shift in imaging, operating on an event-based sensing principle that detects brightness changes asynchronously at each pixel. This capability allows for capturing rapid movements with high precision, making event cameras particularly suited for tracking particles in fluid flows, microfluidic applications, and other scenarios characterized by swift motion. This study aims to highlight the potential of event cameras beyond particle tracking, including advancements in robotics, augmented reality, and computer vision. In contrast, sCMOS cameras, known for their high sensitivity and low noise, have been pivotal in scientific imaging, especially in controlled environments requiring high-resolution, frame-based imaging. The thesis provides a comprehensive examination of both technologies, their operational mechanisms, applications, and comparative strengths. Through practical applications and detailed analysis, this research underscores the significance of event cameras in revolutionizing particle tracking and other dynamic imaging domains.