4.8 Article

Automating multimodal microscopy with NanoJ-Fluidics

Journal

NATURE COMMUNICATIONS
Volume 10, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41467-019-09231-9

Keywords

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Funding

  1. UK Biotechnology and Biological Sciences Research Council [BB/M022374/1, BB/P027431/1, BB/R000697/1, BB/R021805/1]
  2. UK Medical Research Council [MR/K015826/1]
  3. Wellcome Trust [203276/Z/16/Z]
  4. Centre National de la Recherche Scientifique (CNRS ATIP-AVENIR program) [AO2016]
  5. UK's Biotechnology and Biological Sciences Research Council
  6. Medical Research Council, UK [1214605]
  7. UCL
  8. Cancer Research UK [C1529/A17343]
  9. MRC [MC_CF12266]
  10. BBSRC [BB/R000697/1, BB/M022374/1, BB/P027431/1, BB/P001440/1] Funding Source: UKRI

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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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