Automating multimodal microscopy with NanoJ-Fluidics

Pedro Almada, Pedro M. Pereira, Siân Culley, Ghislaine Caillol, Fanny Boroni-Rueda, Christina L. Dix, Guillaume Charras, Buzz Baum, Romain F. Laine (), Christophe Leterrier () and Ricardo Henriques ()
Additional contact information
Pedro Almada: University College London
Pedro M. Pereira: University College London
Siân Culley: University College London
Ghislaine Caillol: NeuroCyto
Fanny Boroni-Rueda: NeuroCyto
Christina L. Dix: University College London
Guillaume Charras: London Centre for Nanotechnology
Buzz Baum: University College London
Romain F. Laine: University College London
Christophe Leterrier: NeuroCyto
Ricardo Henriques: University College London

Nature Communications, 2019, vol. 10, issue 1, 1-9

Abstract: 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.

Date: 2019
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DOI: 10.1038/s41467-019-09231-9

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