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Proceedings Paper

Hybrid-coded 3D structured illumination imaging with Bayesian estimation (Conference Presentation)
Author(s): Hsi-Hsun Chen; Yuan Luo; Vijay R. Singh
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Paper Abstract

Light induced fluorescent microscopy has long been developed to observe and understand the object at microscale, such as cellular sample. However, the transfer function of lense-based imaging system limits the resolution so that the fine and detailed structure of sample cannot be identified clearly. The techniques of resolution enhancement are fascinated to break the limit of resolution for objective given. In the past decades, the resolution enhancement imaging has been investigated through variety of strategies, including photoactivated localization microscopy (PALM), stochastic optical reconstruction microscopy (STORM), stimulated emission depletion (STED), and structure illuminated microscopy (SIM). In those methods, only SIM can intrinsically improve the resolution limit for a system without taking the structure properties of object into account. In this paper, we develop a SIM associated with Bayesian estimation, furthermore, with optical sectioning capability rendered from HiLo processing, resulting the high resolution through 3D volume. This 3D SIM can provide the optical sectioning and resolution enhancement performance, and be robust to noise owing to the Data driven Bayesian estimation reconstruction proposed. For validating the 3D SIM, we show our simulation result of algorithm, and the experimental result demonstrating the 3D resolution enhancement.

Paper Details

Date Published: 27 April 2016
PDF: 1 pages
Proc. SPIE 9713, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIII, 97131P (27 April 2016); doi: 10.1117/12.2212589
Show Author Affiliations
Hsi-Hsun Chen, National Taiwan Univ. (Taiwan)
Yuan Luo, National Taiwan Univ. (Taiwan)
Vijay R. Singh, SMART-Singapore MIT Alliance for Research & Technology (Singapore)


Published in SPIE Proceedings Vol. 9713:
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIII
Thomas G. Brown; Carol J. Cogswell; Tony Wilson, Editor(s)

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