Presentation
4 October 2024 Solid-immersion diffractive imaging
Author Affiliations +
Abstract
We present subwavelength imaging of amplitude- and phase-encoded objects based on a solid-immersion diffractive processor designed through deep learning. Subwavelength features from the objects are resolved by the collaboration between a jointly-optimized diffractive encoder and decoder pair. We experimentally demonstrated the subwavelength-imaging performance of solid immersion diffractive processors using terahertz radiation and achieved all-optical reconstruction of subwavelength phase features of objects (with linewidths of ~λ/3.4, where λ is the wavelength) by transforming them into magnified intensity images at the output field-of-view. Solid-immersion diffractive processors would provide cost-effective and compact solutions for applications in bioimaging, sensing, and material inspection, among others.
Conference Presentation
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jingtian Hu, Kun Liao, Niyazi Ulas Dinc, Carlo Gigli, Bijie Bai, Tianyi Gan, Xurong Li, Hanlong Chen, Xilin Yang, Yuhang Li, Çağatay Işıl, Md Sadman Sakib Rahman, Jingxi Li, Xiaoyong Hu, Mona Jarrahi, Demetri Psaltis, and Aydogan Ozcan "Solid-immersion diffractive imaging", Proc. SPIE PC13118, Emerging Topics in Artificial Intelligence (ETAI) 2024, PC131180Z (4 October 2024); https://doi.org/10.1117/12.3027884
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KEYWORDS
Optical encoders

Biosensing

Education and training

Phase imaging

Spatial frequencies

Phase reconstruction

Refractive index

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