Sub-60-nm 3D super-resolution imaging via saturated I5S

Liu, Qiulan; Yuan, Yifan; Liu, Wenjie; Li, Xiaoyan; Kuang, Cuifang; Hao, Xiang; Liu, Xu

doi:10.1016/j.optcom.2020.125981

Cited by 3 publications

(2 citation statements)

References 14 publications

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“…Nonetheless, utilizing structured illumination patterns with either lateral or axial modulation can only improve the corresponding lateral or axial resolution, respectively, with no or limited effect on the other dimension. To avoid compromising between filling in missing cone information and maintaining resolution, 3D-SIM 12 and its modifications have been proposed [47][48][49][50][51] . In 2008, Gustafsson et al 12 first designed a 3D-SIM system with true optical sectioning.…”

Section: Sr-sim Implementation Modalitiesmentioning

confidence: 99%

Superresolution structured illumination microscopy reconstruction algorithms: a review

Chen,

Zhong,

Hou

et al. 2023

Light Sci Appl

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Structured illumination microscopy (SIM) has become the standard for next-generation wide-field microscopy, offering ultrahigh imaging speed, superresolution, a large field-of-view, and long-term imaging. Over the past decade, SIM hardware and software have flourished, leading to successful applications in various biological questions. However, unlocking the full potential of SIM system hardware requires the development of advanced reconstruction algorithms. Here, we introduce the basic theory of two SIM algorithms, namely, optical sectioning SIM (OS-SIM) and superresolution SIM (SR-SIM), and summarize their implementation modalities. We then provide a brief overview of existing OS-SIM processing algorithms and review the development of SR-SIM reconstruction algorithms, focusing primarily on 2D-SIM, 3D-SIM, and blind-SIM. To showcase the state-of-the-art development of SIM systems and assist users in selecting a commercial SIM system for a specific application, we compare the features of representative off-the-shelf SIM systems. Finally, we provide perspectives on the potential future developments of SIM.

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Section: Sr-sim Implementation Modalitiesmentioning

confidence: 99%

Superresolution structured illumination microscopy reconstruction algorithms: a review

Chen,

Zhong,

Hou

et al. 2023

Light Sci Appl

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“…In contrast to the diffraction grating, ferroelectric liquid crystal spatial light modulator [30,31] and scanning galvanometer mirror (SGM) [32][33][34] can satisfy the demands of faster and more flexible pattern generation. As a result, a combination of SGM-based I 5 S and fluorescence saturation [35] termed as saturated I 5 S or SI 5 S [36] was developed in theory and obtained near-isotropic 3D resolution below 60 nm. Its superior imaging capability can be seen from Figures 5.…”

Section: Widefield Modalitymentioning

confidence: 99%

A Review on Dual-Lens Fluorescence Microscopy for Three-Dimensional Imaging

Han

Liu

et al. 2020

Front. Phys.

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Three-dimensional (3D) imaging using dual-lens fluorescence microscopies is popular in observing fluorescently labeled biological samples, such as mammalian/model animal cells, tissues, and embryos. Specifically, dual-lens super-resolution fluorescence microscopy methods using two opposing objective lenses allow significantly higher axial resolution and better signal to noise ratio than traditional single-lens counterparts, and thus distinguish more details in 3D images of fine intracellular structures. For 3D imaging of thick tissues and entire embryos, dual-lens light-sheet fluorescence microscopy methods using two objective lenses, either orthogonal or non-orthogonal, to achieve selective plane illumination, can meet the requirements, and thus can be used to observe embryo development and structures of interest in thick tissues. This review summarizes both dual-lens fluorescence microscopy methods, including their principles, configurations, and 3D imaging applications, providing a guideline for biological laboratories with different 3D imaging needs.

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3D super-resolution microscopy based on nonlinear gradient descent structured illumination

et al. 2021

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Three-dimensional structured illumination microscopy (3D-SIM) is an essential tool for volumetric fluorescence imaging, which improves both axial and lateral resolution by down-modulating high-frequency information of the sample into the passband of optical transfer function (OTF). And when combining with the 4Pi structure, the performance of 3D-SIM can be further improved. The reconstruction results of generally used linear 3D algorithm, however, are lack of high-fidelity and proneess to generate artifacts. In this paper, we proposed a novel iterative algorithm based on gradient descent combined with a nonlinear optimizer, which can be applied to all 3D-SIM setups (including I5S setup). We verified through simulation that the proposed solution, termed as nonlinear gradient descent structured illumination microscopy (NGD-SIM), achieves more fidelity results which can reach the limitation of theoretical resolution improvement of SIM. Moreover, it can be firmly validated on simulation that this algorithm can effectively reduce the amount of raw data in the case of sinusoidal-pattern illumination, i.e., the algorithm doesn’t need five-step phase shifting; data with any number of phases can theoretically be reconstructed. Our method also provides the possibility to extend the application of sinusoidal-pattern illumination to any kind of interference fringe, which is generated by diversified types of illumination mode.

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Sub-60-nm 3D super-resolution imaging via saturated I5S

Cited by 3 publications

References 14 publications

Superresolution structured illumination microscopy reconstruction algorithms: a review

Superresolution structured illumination microscopy reconstruction algorithms: a review

A Review on Dual-Lens Fluorescence Microscopy for Three-Dimensional Imaging

3D super-resolution microscopy based on nonlinear gradient descent structured illumination

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