Miniaturized fluorescence 3D microscope with deep learning reconstruction (Conference Presentation)

Feng Tian; Weijian Yang

doi:10.1117/12.2648097

15 March 2023 Miniaturized fluorescence 3D microscope with deep learning reconstruction (Conference Presentation)

Feng Tian, Weijian Yang

Proceedings Volume PC12385, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXX; PC123850I (2023) https://doi.org/10.1117/12.2648097
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

We demonstrate a miniaturized mask-based microscope for implantable imaging applications with computational 3D reconstruction. The miniaturized microscope is composed of a custom-designed doublet microlens array which was fabricated by two-photon polymerization. The device is integrated with excitation light sources, fluorescent filter sets, and a board-level image sensor. The 3D object can be reconstructed by trained deep learning models with high efficiency and fast speed. We validate the device’s performance with both resolution targets and fluorescent samples. Our device shows great promise in imaging brain activity in freely moving mice with real-time reconstruction.

Conference Presentation

Citation Download Citation

Feng Tian and Weijian Yang "Miniaturized fluorescence 3D microscope with deep learning reconstruction (Conference Presentation)", Proc. SPIE PC12385, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXX, PC123850I (15 March 2023); https://doi.org/10.1117/12.2648097

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