Computational microscopy with algorithmic self-calibration

Laura Waller

doi:10.1117/12.3011409

13 March 2024 Computational microscopy with algorithmic self-calibration

Laura Waller

Proceedings Volume PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences; PC128570K (2024) https://doi.org/10.1117/12.3011409
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Computational imaging involves the joint design of imaging system hardware and software, optimizing across the entire pipeline from acquisition to reconstruction. This talk will describe new microscopes and space-time algorithms that enable 3D fluorescence and phase measurement with high resolution on dynamic samples. Traditional model-based image reconstruction algorithms work together with neural networks to optimize the inverse problem solver and the data capture strategy in order to account for model mis-match and aberrations.

Conference Presentation

Citation Download Citation

Laura Waller "Computational microscopy with algorithmic self-calibration", Proc. SPIE PC12857, Computational Optical Imaging and Artificial Intelligence in Biomedical Sciences, PC128570K (13 March 2024); https://doi.org/10.1117/12.3011409

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