Super-Resolution Multipole Decomposition Tomographic Microscopy

Taeyong Chang,Jin-Kyu So,Eng Aik Chan,Giorgio Adamo,Nikitas Papasimakis,Yijie Shen,Nikolay I. Zheludev

2023 Conference on Lasers and Electro-Optics Europe & European Quantum Electronics Conference (CLEO/Europe-EQEC)（2023）

Centre for Disruptive Photonic Technologies | Optoelectronics Research Centre and Centre for Photonic Metamaterials

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Abstract

We demonstrate a new imaging paradigm based on multipole decomposition tomography of light scattered on the imaged object and conduct proof of principle experiments that show the accurate quantification of weaker radiation below the conventional detectable range limited by accompanying stronger radiation.

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Key words

conduct proof,imaged object,imaging paradigm,principle experiments,super-resolution multipole decomposition tomographic microscopy

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Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
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【要点】：本文提出了一种基于多极分解断层扫描显微术的新型成像范式，能够准确量化传统检测范围限制下的较弱辐射。

【方法】：通过将光散射在成像物体上的信息进行多极分解，实现了对较弱辐射的精确量化。

【实验】：作者进行了原理验证实验，使用了特定数据集，成功展示了在较强辐射伴随下的较弱辐射的准确量化结果。