Automating multimodal microscopy with NanoJ-Fluidics

Pedro Almada , Pedro M. Pereira , Siân Culley , Ghislaine Caillol (1) , Fanny Boroni-Rueda (1) , Christina L Dix , Buzz Baum , Romain F Laine , Christophe Leterrier (1) , Ricardo Henriques

1 INP - Institut de neurophysiopathologie

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.

Domaines: Neurobiologie

Pedro Almada, Pedro M. Pereira, Siân Culley, Ghislaine Caillol, Fanny Boroni-Rueda, et al.. Automating multimodal microscopy with NanoJ-Fluidics. Nature Communications, 2019, 10 (1), pp.1223. ⟨10.1038/s41467-019-09231-9⟩. ⟨hal-02073341⟩