scholarly journals Adaptive optics for structured illumination microscopy

2008 ◽  
Vol 16 (13) ◽  
pp. 9290 ◽  
Author(s):  
Delphine Débarre ◽  
Edward J. Botcherby ◽  
Martin J. Booth ◽  
Tony Wilson
2020 ◽  
Author(s):  
Ruizhe Lin ◽  
Edward T. Kipreos ◽  
Jie Zhu ◽  
Chang Hyun Khang ◽  
Peter Kner

AbstractStructured Illumination Microscopy enables live imaging with resolutions of ~120 nm. Unfortunately, optical aberrations can lead to loss of resolution and artifacts in Structured Illumination Microscopy rendering the technique unusable in samples thicker than a single cell. Here we report on the combination of Adaptive Optics and Structured Illumination Microscopy enabling imaging with 140 nm lateral and 585 nm axial resolution in tissue culture cells, C. elegans, and rice blast fungus. We demonstrate that AO improves resolution and reduces artifacts, making full 3D SIM possible in thicker samples.


2019 ◽  
Vol 116 (19) ◽  
pp. 9586-9591 ◽  
Author(s):  
Raphaël Turcotte ◽  
Yajie Liang ◽  
Masashi Tanimoto ◽  
Qinrong Zhang ◽  
Ziwei Li ◽  
...  

Cells in the brain act as components of extended networks. Therefore, to understand neurobiological processes in a physiological context, it is essential to study them in vivo. Super-resolution microscopy has spatial resolution beyond the diffraction limit, thus promising to provide structural and functional insights that are not accessible with conventional microscopy. However, to apply it to in vivo brain imaging, we must address the challenges of 3D imaging in an optically heterogeneous tissue that is constantly in motion. We optimized image acquisition and reconstruction to combat sample motion and applied adaptive optics to correcting sample-induced optical aberrations in super-resolution structured illumination microscopy (SIM) in vivo. We imaged the brains of live zebrafish larvae and mice and observed the dynamics of dendrites and dendritic spines at nanoscale resolution.


2020 ◽  
Vol 6 (19) ◽  
pp. eaaz3870 ◽  
Author(s):  
Ziwei Li ◽  
Qinrong Zhang ◽  
Shih-Wei Chou ◽  
Zachary Newman ◽  
Raphaël Turcotte ◽  
...  

Optical microscopy, owing to its noninvasiveness and subcellular resolution, enables in vivo visualization of neuronal structure and function in the physiological context. Optical-sectioning structured illumination microscopy (OS-SIM) is a widefield fluorescence imaging technique that uses structured illumination patterns to encode in-focus structures and optically sections 3D samples. However, its application to in vivo imaging has been limited. In this study, we optimized OS-SIM for in vivo neural imaging. We modified OS-SIM reconstruction algorithms to improve signal-to-noise ratio and correct motion-induced artifacts in live samples. Incorporating an adaptive optics (AO) module to OS-SIM, we found that correcting sample-induced optical aberrations was essential for achieving accurate structural and functional characterizations in vivo. With AO OS-SIM, we demonstrated fast, high-resolution in vivo imaging with optical sectioning for structural imaging of mouse cortical neurons and zebrafish larval motor neurons, and functional imaging of quantal synaptic transmission at Drosophila larval neuromuscular junctions.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Ruizhe Lin ◽  
Edward T. Kipreos ◽  
Jie Zhu ◽  
Chang Hyun Khang ◽  
Peter Kner

AbstractStructured Illumination Microscopy enables live imaging with sub-diffraction resolution. Unfortunately, optical aberrations can lead to loss of resolution and artifacts in Structured Illumination Microscopy rendering the technique unusable in samples thicker than a single cell. Here we report on the combination of Adaptive Optics and Structured Illumination Microscopy enabling imaging with 150 nm lateral and 570 nm axial resolution at a depth of 80 µm through Caenorhabditis elegans. We demonstrate that Adaptive Optics improves the three-dimensional resolution, especially along the axial direction, and reduces artifacts, successfully realizing 3D-Structured Illumination Microscopy in a variety of biological samples.


Methods ◽  
2015 ◽  
Vol 75 ◽  
pp. 61-68 ◽  
Author(s):  
Laure-Anne Ligeon ◽  
Nicolas Barois ◽  
Elisabeth Werkmeister ◽  
Antonino Bongiovanni ◽  
Frank Lafont

ACS Photonics ◽  
2021 ◽  
Author(s):  
Alice Sandmeyer ◽  
Mario Lachetta ◽  
Hauke Sandmeyer ◽  
Wolfgang Hübner ◽  
Thomas Huser ◽  
...  

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