Computational augmentations of single molecule super-resolution microscopy (Conference Presentation)

Christophe Zimmer

doi:10.1117/12.2549021

10 March 2020 Computational augmentations of single molecule super-resolution microscopy (Conference Presentation)

Christophe Zimmer

Proceedings Volume 11250, High-Speed Biomedical Imaging and Spectroscopy V; 112500U (2020) https://doi.org/10.1117/12.2549021
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

Single molecule localization microscopy (SMLM) is one of the most popular super-resolution imaging methods. In this talk, we'll highlight recent computational developments of our lab to push the limits of SMLM. First, we will present ANNA-PALM, a computational technique based on deep learning that can reconstruct high resolution views from strongly under-sampled SMLM data and widefield images, enabling considerable speed-ups without any compromise on spatial resolution. Second, we will present ZOLA-3D a combined optical and computational method that enables versatile 3D super-resolution imaging over up to ~5 um depth. Third, we will briefly highlight shareloc.xyz, an online platform to facilitate the sharing and reanalysis of SMLM data.

Conference Presentation

Citation Download Citation

Christophe Zimmer "Computational augmentations of single molecule super-resolution microscopy (Conference Presentation)", Proc. SPIE 11250, High-Speed Biomedical Imaging and Spectroscopy V, 112500U (10 March 2020); https://doi.org/10.1117/12.2549021

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