Automating multimodal microscopy with NanoJ-Fluidics

Authors: 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
Technologies: NanoJ, NanoJ-Fluidics, NanoJ-SQUIRREL, NanoJ-SRRF and NanoJ-VirusMapper
Paper published in Nature Communications, March 2019
Publisher: Nature Publishing Group UK London
Automating multimodal microscopy with NanoJ-Fluidics
DOI: 10.1038/s41467-019-09231-9

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.