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Nat Commun. 2019 Mar 15;10(1):1223. doi: 10.1038/s41467-019-09231-9.

Automating multimodal microscopy with NanoJ-Fluidics.

Author information

1
MRC-Laboratory for Molecular Cell Biology, University College London, London, WC1E 6BT, UK.
2
Department of Cell and Developmental Biology, University College London, London, WC1E 6BT, UK.
3
The Francis Crick Institute, London, NW1 1AT, UK.
4
Aix Marseille Université, CNRS, INP UMR7051, NeuroCyto, Marseille, 13015, France.
5
London Centre for Nanotechnology, London, WC1H 0AH, UK.
6
Institute for the Physics of Living Systems, University College London, London, WC1E 6BT, UK.
7
MRC-Laboratory for Molecular Cell Biology, University College London, London, WC1E 6BT, UK. r.laine@ucl.ac.uk.
8
The Francis Crick Institute, London, NW1 1AT, UK. r.laine@ucl.ac.uk.
9
Aix Marseille Université, CNRS, INP UMR7051, NeuroCyto, Marseille, 13015, France. christophe.leterrier@univ-amu.fr.
10
MRC-Laboratory for Molecular Cell Biology, University College London, London, WC1E 6BT, UK. r.henriques@ucl.ac.uk.
11
Department of Cell and Developmental Biology, University College London, London, WC1E 6BT, UK. r.henriques@ucl.ac.uk.
12
The Francis Crick Institute, London, NW1 1AT, UK. r.henriques@ucl.ac.uk.

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.

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