Hybrid inverse design advanced localized plasmonic structured illumination microscopy

Qianyi Wu; Yihao Xu; Junxiang Zhao; Yongmin Liu; Zhaowei Liu

doi:10.1117/12.3028420

4 October 2024 Hybrid inverse design advanced localized plasmonic structured illumination microscopy

Qianyi Wu, Yihao Xu, Junxiang Zhao, Yongmin Liu, Zhaowei Liu

Author Affiliations +

Proceedings Volume 13117, Enhanced Spectroscopies and Nanoimaging 2024; 1311716 (2024) https://doi.org/10.1117/12.3028420
Event: Nanoscience + Engineering, 2024, San Diego, California, United States

Conference Poster

Abstract

Super-resolution fluorescence imaging techniques have emerged as a pivotal solution to examine sub-cellular processes. Among these techniques, Localized Plasmonic Structured Illumination Microscopy (LPSIM) has shown remarkable potential to achieve three-fold resolution improvement and video imaging speed by leveraging plasmonic nanoantenna arrays. However, the conventional design process for these arrays is hindered by time-consuming trial-and-error simulations and limited design degree of freedom. We introduce a hybrid inverse design framework that combines deep learning and genetic algorithm-based optimization to enhance the capabilities of LPSIM. Our approach yields optimized nanoantenna arrays that demonstrate superior reconstruction quality, offering robustness against noise, and requiring fewer measurements. The proposed method not only streamlines the efficient design process for LPSIM nanoantenna arrays, but also opens new avenues for exploring and optimizing plasmonic nanostructures for a wide range of applications beyond imaging.

Citation Download Citation

Qianyi Wu, Yihao Xu, Junxiang Zhao, Yongmin Liu, and Zhaowei Liu "Hybrid inverse design advanced localized plasmonic structured illumination microscopy", Proc. SPIE 13117, Enhanced Spectroscopies and Nanoimaging 2024, 1311716 (4 October 2024); https://doi.org/10.1117/12.3028420

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