3D super-resolution imaging using a generalized and scalable progressive refinement method on sparse recovery (PRIS)

Xiyu Yi; Rafael Piestun; Shimon Weiss

doi:10.1117/12.2506827

22 February 2019 3D super-resolution imaging using a generalized and scalable progressive refinement method on sparse recovery (PRIS)

Xiyu Yi, Rafael Piestun, Shimon Weiss

Author Affiliations +

Proceedings Volume 10884, Single Molecule Spectroscopy and Superresolution Imaging XII; 1088406 (2019) https://doi.org/10.1117/12.2506827
Event: SPIE BiOS, 2019, San Francisco, California, United States

Abstract

Within the family of super-resolution (SR) fluorescence microscopy, single-molecule localization microscopies (PALM[1], STORM[2] and their derivatives) afford among the highest spatial resolution (approximately 5 to 10 nm), but often with moderate temporal resolution. The high spatial resolution relies on the adequate accumulation of precise localizations, which requires a relatively low density of bright fluorophores. Several methods have demonstrated localization at higher densities in both two dimensions (2D)[3, 4] and three dimensions (3D)[5-7]. Additionally, with further advancements, such as functional super-resolution[8, 9] and point spread function (PSF) engineering with[8-11] or without[12] multi-channel observations, extra information (spectra, dipole orientation) can be encoded and recovered at the single molecule level. However, such advancements are not fully extended for high-density conditions in 3D. In this work, we adopt sparse recovery using simple matrix/vector operations, and propose a systematic progressive refinement method (dubbed as PRIS) for 3D high-density condition. We also generalized the method for PSF engineering, multichannel and multi-species observations using different forms of matrix concatenations. Specifically, we demonstrate reconstructions with both double-helix and astigmatic PSFs, for both single and biplane settings. We also demonstrate the recovery capability for a mixture of two different color species.

Conference Presentation

Citation Download Citation

Xiyu Yi, Rafael Piestun, and Shimon Weiss "3D super-resolution imaging using a generalized and scalable progressive refinement method on sparse recovery (PRIS)", Proc. SPIE 10884, Single Molecule Spectroscopy and Superresolution Imaging XII, 1088406 (22 February 2019); https://doi.org/10.1117/12.2506827

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