Automating multimodal microscopy with NanoJ-Fluidics


  • Almada Pedro
  • Pereira Pedro M.
  • Culley Siân
  • Caillol Ghislaine
  • Boroni-Rueda Fanny
  • Dix Christina
  • Baum Buzz
  • Laine Romain
  • Leterrier Christophe
  • Henriques Ricardo


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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