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Proceedings Paper

Computational augmentations of single molecule super-resolution microscopy (Conference Presentation)
Author(s): Christophe Zimmer

Paper 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.

Paper Details

Date Published: 10 March 2020
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Proc. SPIE 11250, High-Speed Biomedical Imaging and Spectroscopy V, 112500U (10 March 2020); doi: 10.1117/12.2549021
Show Author Affiliations
Christophe Zimmer, Institut Pasteur (France)


Published in SPIE Proceedings Vol. 11250:
High-Speed Biomedical Imaging and Spectroscopy V
Kevin K. Tsia; Keisuke Goda, Editor(s)

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