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.
Document type :
Journal articles
Complete list of metadatas

Cited literature [35 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02073341
Contributor : Christophe Leterrier <>
Submitted on : Tuesday, March 19, 2019 - 6:16:36 PM
Last modification on : Thursday, July 11, 2019 - 11:06:09 AM
Long-term archiving on : Thursday, June 20, 2019 - 4:31:19 PM

File

2019_Nat Commun_Almada.pdf
Files produced by the author(s)

Identifiers

Collections

Citation

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⟩

Share

Metrics

Record views

40

Files downloads

17