3D super-resolution imaging using a generalized and scalable progressive refinement method on sparse recovery (PRIS)
3D super-resolution imaging using a generalized and scalable progressive refinement method on sparse recovery (PRIS)
复制标题
使用稀疏恢复的通用且可扩展的渐进细化方法 (PRIS) 进行 3D 超分辨率成像
DOI:
10.1117/12.2506827
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发表时间:
2019
期刊:
影响因子:
--
通讯作者:
Koberling, Felix
中科院分区:
文献类型:
--
作者:
Yi, Xiyu;Piestun, Rafael;Weiss, Shimon;Gregor, Ingo;Gryczynski, Zygmunt K.;Koberling, Felix
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.
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影响因子:
8.6
作者:
Shechtman Y;Sahl SJ;Backer AS;Moerner WE
通讯作者:
Moerner WE
影响因子:
3.8
作者:
Grover, Ginni;DeLuca, Keith;Piestun, Rafael
通讯作者:
Piestun, Rafael
影响因子:
3.8
作者:
Babcock, Hazen P.;Moffitt, Jeffrey R.;Zhuang, Xiaowei
通讯作者:
Zhuang, Xiaowei
DOI:
--
发表时间:
2016
期刊:
Conference on Lasers and Electro-Optics
影响因子:
--
作者:
Oren Solomon;Maor Mutzafi;Xiyu Yi;S. Weiss;Yonina C. Eldar;M. Segev
通讯作者:
M. Segev
影响因子:
3.8
作者:
Solomon, Oren;Mutzafi, Maor;Eldar, Yonina C.
通讯作者:
Eldar, Yonina C.