2024/06/13 by A. R. Bekirov, Bekirov, Arlen, Zengbo Wang +3
Engineering · Biochemistry, Genetics and Molecular Biology · Neuroscience · #Photoacoustic and Ultrasonic Imaging #Spectroscopy Techniques in Biomedical and Chemical Research #Brain Tumor Detection and Classification
paper · pdf · doi:10.48550/arxiv.2406.09060
This paper presents a comprehensive numerical analysis of super-resolution imaging using dielectric microparticles, employing the Finite-Difference Time-Domain (FDTD) method to elucidate the mechanisms that enable resolution enhancements beyond the diffraction limit. Our study demonstrates that dielectric microparticles can achieve a resolution on the order of 50 nm in the visible spectrum, surpassing traditional optical microscopy limits. By simulating the propagation of radiation through a microparticle-object system and generating optical images via a backward propagation technique, we reveal critical insights into how microparticles enhance image contrast and resolution. The study also explores the influence of various parameters, such as source coherence and particle-substrate interactions, on the image formation process. Our results not only validate the super-resolution capability of microparticle-assisted imaging but also provide a robust framework for further advancements in optical imaging technologies, with potential applications in fields requiring ultra-high-resolution visualization.