High-throughput computational microscopy with diffractive multiplexing across a gigapixel sensor array

Kevin C. Zhou; Chaoying Gu; Grace Jiang; Nicholas Antipa; Roarke W. Horstmeyer; Laura Waller

doi:10.1117/12.3000876

13 March 2024 High-throughput computational microscopy with diffractive multiplexing across a gigapixel sensor array

Kevin C. Zhou, Chaoying Gu, Grace Jiang, Nicholas Antipa, Roarke W. Horstmeyer, Laura Waller

Proceedings Volume PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences; PC128570A (2024) https://doi.org/10.1117/12.3000876
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

We present a high-resolution, wide-field of view (FOV) computational microscope that employs an array of image sensors with gaps between them and a diffractive optical element (DOE) in the Fourier plane. The sensor array consists of a 6 x 8 array of 13-megapixel sensors (total ~0.6 gigapixels), spanning a 5 cm by 6.6 cm region with a ~22% fill factor. To fill in the inter-sensor gaps without scanning, we introduce a DOE at the pupil that generates a distributed PSF, allowing us to multiplex information from the missing ~78% of the total area into the sensing regions. Our large-scale reconstruction algorithm demixes the superimposed information, resulting in a >4x expanded FOV. Our approach can enable multi-gigapixel imaging in a single snapshot.

Conference Presentation

Citation Download Citation

Kevin C. Zhou, Chaoying Gu, Grace Jiang, Nicholas Antipa, Roarke W. Horstmeyer, and Laura Waller "High-throughput computational microscopy with diffractive multiplexing across a gigapixel sensor array", Proc. SPIE PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, PC128570A (13 March 2024); https://doi.org/10.1117/12.3000876

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