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Automating multimodal microscopy with NanoJ-Fluidics

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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Submitted on : Tuesday, March 19, 2019 - 6:16:36 PM
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Pedro Almada, Pedro M. Pereira, Siân Culley, Ghislaine Caillol, Fanny Boroni-Rueda, et al.. Automating multimodal microscopy with NanoJ-Fluidics. Nature Communications, Nature Publishing Group, 2019, 10 (1), pp.1223. ⟨10.1038/s41467-019-09231-9⟩. ⟨hal-02073341⟩



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