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

Author

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  • Ruizhe Lin

    (University of Georgia)

  • Edward T. Kipreos

    (University of Georgia)

  • Jie Zhu

    (University of Georgia
    University of California)

  • Chang Hyun Khang

    (University of Georgia)

  • Peter Kner

    (University of Georgia)

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.

Suggested Citation

  • Ruizhe Lin & Edward T. Kipreos & Jie Zhu & Chang Hyun Khang & Peter Kner, 2021. "Subcellular three-dimensional imaging deep through multicellular thick samples by structured illumination microscopy and adaptive optics," Nature Communications, Nature, vol. 12(1), pages 1-14, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-23449-6
    DOI: 10.1038/s41467-021-23449-6
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