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Imaging multicellular specimens with real-time optimized tiling light-sheet selective plane illumination microscopy

Author

Listed:
  • Qinyi Fu

    (Stony Brook University)

  • Benjamin L. Martin

    (Stony Brook University)

  • David Q. Matus

    (Stony Brook University)

  • Liang Gao

    (Stony Brook University
    Stony Brook University)

Abstract

Despite the progress made in selective plane illumination microscopy, high-resolution 3D live imaging of multicellular specimens remains challenging. Tiling light-sheet selective plane illumination microscopy (TLS-SPIM) with real-time light-sheet optimization was developed to respond to the challenge. It improves the 3D imaging ability of SPIM in resolving complex structures and optimizes SPIM live imaging performance by using a real-time adjustable tiling light sheet and creating a flexible compromise between spatial and temporal resolution. We demonstrate the 3D live imaging ability of TLS-SPIM by imaging cellular and subcellular behaviours in live C. elegans and zebrafish embryos, and show how TLS-SPIM can facilitate cell biology research in multicellular specimens by studying left-right symmetry breaking behaviour of C. elegans embryos.

Suggested Citation

  • Qinyi Fu & Benjamin L. Martin & David Q. Matus & Liang Gao, 2016. "Imaging multicellular specimens with real-time optimized tiling light-sheet selective plane illumination microscopy," Nature Communications, Nature, vol. 7(1), pages 1-10, April.
    • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms11088
    DOI: 10.1038/ncomms11088
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    Cited by:

    1. Adam L Tyson & Charly V Rousseau & Christian J Niedworok & Sepiedeh Keshavarzi & Chryssanthi Tsitoura & Lee Cossell & Molly Strom & Troy W Margrie, 2021. "A deep learning algorithm for 3D cell detection in whole mouse brain image datasets," PLOS Computational Biology, Public Library of Science, vol. 17(5), pages 1-17, May.

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