Optimization and 3D printing of waveguide bundles for imaging

Niyazi Ulas Dinc; Giulia Panusa; Demetri Psaltis

doi:10.1117/12.2610014

7 March 2022 Optimization and 3D printing of waveguide bundles for imaging

Niyazi Ulas Dinc, Giulia Panusa, Demetri Psaltis

Proceedings Volume PC11953, Optical Fibers and Sensors for Medical Diagnostics, Treatment and Environmental Applications XXII; PC1195305 (2022) https://doi.org/10.1117/12.2610014
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

Single-mode optical waveguides are one of the fundamental photonic components and the building block for compact multicore bundles. The cross-talk of a waveguide bundle might scramble the information and reduce the resolution. To get the highest possible resolution on a fixed field of view (FOV), we propose to optimize the core to core spacing via assessing the reconstruction accuracy of the output images of the bundle processed by a deep neural network (DNN), where the obtained bundle is 3D printed via direct laser writing. We demonstrate the DNN based optimization scheme and the fabrication of a waveguide bundle of 10-µm core-to-core spacing to image various digit layouts in a (120 µm)^2 FOV.

Conference Presentation

Citation Download Citation

Niyazi Ulas Dinc, Giulia Panusa, and Demetri Psaltis "Optimization and 3D printing of waveguide bundles for imaging", Proc. SPIE PC11953, Optical Fibers and Sensors for Medical Diagnostics, Treatment and Environmental Applications XXII, PC1195305 (7 March 2022); https://doi.org/10.1117/12.2610014

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