Subcellular three-dimensional imaging deep through multicellular thick samples by structured illumination microscopy and adaptive optics

Ruizhe Lin, Edward T. Kipreos, Jie Zhu, Chang Hyun Khang and Peter Kner ()
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Ruizhe Lin: University of Georgia
Edward T. Kipreos: University of Georgia
Jie Zhu: University of Georgia
Chang Hyun Khang: University of Georgia
Peter Kner: University of Georgia

Nature Communications, 2021, vol. 12, issue 1, 1-14

Abstract: Abstract Structured 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.

Date: 2021
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DOI: 10.1038/s41467-021-23449-6

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