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Automating multimodal microscopy with NanoJ-Fluidics

Author

Listed:
  • Pedro Almada

    (University College London
    University College London)

  • Pedro M. Pereira

    (University College London
    University College London
    The Francis Crick Institute)

  • Siân Culley

    (University College London
    University College London
    The Francis Crick Institute)

  • Ghislaine Caillol

    (NeuroCyto)

  • Fanny Boroni-Rueda

    (NeuroCyto)

  • Christina L. Dix

    (University College London)

  • Guillaume Charras

    (London Centre for Nanotechnology
    University College London)

  • Buzz Baum

    (University College London
    University College London)

  • Romain F. Laine

    (University College London
    The Francis Crick Institute)

  • Christophe Leterrier

    (NeuroCyto)

  • Ricardo Henriques

    (University College London
    University College London
    The Francis Crick Institute)

Abstract

Combining and multiplexing microscopy approaches is crucial to understand cellular events, but requires elaborate workflows. Here, we present a robust, open-source approach for treating, labelling and imaging live or fixed cells in automated sequences. NanoJ-Fluidics is based on low-cost Lego hardware controlled by ImageJ-based software, making high-content, multimodal imaging easy to implement on any microscope with high reproducibility. We demonstrate its capacity on event-driven, super-resolved live-to-fixed and multiplexed STORM/DNA-PAINT experiments.

Suggested Citation

  • Pedro Almada & Pedro M. Pereira & Siân Culley & Ghislaine Caillol & Fanny Boroni-Rueda & Christina L. Dix & Guillaume Charras & Buzz Baum & Romain F. Laine & Christophe Leterrier & Ricardo Henriques, 2019. "Automating multimodal microscopy with NanoJ-Fluidics," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-09231-9
    DOI: 10.1038/s41467-019-09231-9
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    Cited by:

    1. Philip Dettinger & Tobias Kull & Geethika Arekatla & Nouraiz Ahmed & Yang Zhang & Florin Schneiter & Arne Wehling & Daniel Schirmacher & Shunsuke Kawamura & Dirk Loeffler & Timm Schroeder, 2022. "Open-source personal pipetting robots with live-cell incubation and microscopy compatibility," Nature Communications, Nature, vol. 13(1), pages 1-12, December.

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