Advancing multi-dimensional vision: AI-driven imaging using unique photodetectors with integrated surface nanostructures

Ahasan Ahamed; Weiwei Wang; Amita Rawat; Lisa N. McPhillips; Ekaterina Ponizovskaya Devine; Shih-Yuan Wang; Zhi Ding; M. Saif Islam

doi:10.1117/12.2682104

5 October 2023 Advancing multi-dimensional vision: AI-driven imaging using unique photodetectors with integrated surface nanostructures

Ahasan Ahamed, Weiwei Wang, Amita Rawat, Lisa N. McPhillips, Ekaterina Ponizovskaya Devine, Shih-Yuan Wang, Zhi Ding, M. Saif Islam

Author Affiliations +

Proceedings Volume 12651, Low-Dimensional Materials and Devices 2023; 1265104 (2023) https://doi.org/10.1117/12.2682104
Event: SPIE Nanoscience + Engineering, 2023, San Diego, California, United States

Abstract

A compact assembly of photodetectors, enhanced with innovative surface nanostructures, can significantly enhance imaging modalities. This advancement captures multi-dimensional data, including spectral profiles, temporal responses, and spatial resolution. Achieving this breakthrough centers on the meticulous engineering of individual ultrafast detectors, which exhibit diverse responses to identical illumination conditions. A pivotal role is played by the integration of artificial intelligence (AI)-driven computational imaging, which optimizes the obtained multi-dimensional data. This paper demonstrates the benefits of such an imaging method. Specifically, we highlight the potential reductions in the physical scale of current systems, significant enhancements in system sensitivity, and substantial cost reduction. The potential applications include molecular fluorescence signal detection, chem-biological imaging, advanced LiDAR systems, and state-of-the-art focal plane arrays.

Conference Presentation

Citation Download Citation

Ahasan Ahamed, Weiwei Wang, Amita Rawat, Lisa N. McPhillips, Ekaterina Ponizovskaya Devine, Shih-Yuan Wang, Zhi Ding, and M. Saif Islam "Advancing multi-dimensional vision: AI-driven imaging using unique photodetectors with integrated surface nanostructures", Proc. SPIE 12651, Low-Dimensional Materials and Devices 2023, 1265104 (5 October 2023); https://doi.org/10.1117/12.2682104

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