| Literature DB >> 30874553 |
Pedro Almada1,2, Pedro M Pereira1,2,3, Siân Culley1,2,3, Ghislaine Caillol4, Fanny Boroni-Rueda4, Christina L Dix1, Guillaume Charras5,6, Buzz Baum1,6, Romain F Laine7,8, Christophe Leterrier9, Ricardo Henriques10,11,12.
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.Entities:
Year: 2019 PMID： 30874553 PMCID： PMC6420627 DOI： 10.1038/s41467-019-09231-9
Source DB: PubMed Journal: Nat Commun ISSN： 2041-1723 Impact factor: 14.919