Automating multimodal microscopy with NanoJ-Fluidics

Pedro Almada; Pedro M. Pereira; Siân Culley; Ghislaine Caillol; Fanny Boroni-Rueda; Christina L. Dix; Guillaume Charras; Buzz Baum; Romain F. Laine; Christophe Leterrier; Ricardo Henriques

doi:10.1038/s41467-019-09231-9

Automating multimodal microscopy with NanoJ-Fluidics

Pedro Almada, Pedro M. Pereira, Siân Culley, Ghislaine Caillol, Fanny Boroni-Rueda, Christina L. Dix, Guillaume Charras, Buzz Baum, Romain F. Laine^*, Christophe Leterrier, Ricardo Henriques

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

60 Citations (Scopus)

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.

Original language	English
Article number	1223
Journal	Nature Communications
Volume	10
Issue number	1
DOIs	https://doi.org/10.1038/s41467-019-09231-9
Publication status	Published - 1 Dec 2019

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10.1038/s41467-019-09231-9

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title = "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.",

author = "Pedro Almada and Pereira, {Pedro M.} and Si{\^a}n Culley and Ghislaine Caillol and Fanny Boroni-Rueda and Dix, {Christina L.} and Guillaume Charras and Buzz Baum and Laine, {Romain F.} and Christophe Leterrier and Ricardo Henriques",

note = "Funding Information: We thank Prof. Ralf Jungmann at Max Planck Institute of Biochemistry Munich for reagents and advice. This work was funded by grants from the UK Biotechnology and Biological Sciences Research Council (BB/M022374/1; BB/P027431/1; BB/ R000697/1; BB/R021805/1) (R.H., P.M.P. and R.F.L.), the UK Medical Research Council (MR/K015826/1) (R.H.), the Wellcome Trust (203276/Z/16/Z) (S.C., B.B and R.H.) and the Centre National de la Recherche Scientifique (CNRS ATIP-AVENIR program AO2016) (C.L.). P.A. was supported by a PhD fellowship from the UK{\textquoteright}s Biotechnology and Biological Sciences Research Council. C.L.D. was supported by PhD funding from the Medical Research Council, UK (1214605). Research by B.B. was supported by UCL, Cancer Research UK (C1529/A17343), and MRC (MC_CF12266). Publisher Copyright: {\textcopyright} 2019, The Author(s).",

year = "2019",

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doi = "10.1038/s41467-019-09231-9",

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AU - Almada, Pedro

AU - Pereira, Pedro M.

AU - Culley, Siân

AU - Caillol, Ghislaine

AU - Boroni-Rueda, Fanny

AU - Dix, Christina L.

AU - Charras, Guillaume

AU - Baum, Buzz

AU - Laine, Romain F.

AU - Leterrier, Christophe

AU - Henriques, Ricardo

N1 - Funding Information: We thank Prof. Ralf Jungmann at Max Planck Institute of Biochemistry Munich for reagents and advice. This work was funded by grants from the UK Biotechnology and Biological Sciences Research Council (BB/M022374/1; BB/P027431/1; BB/ R000697/1; BB/R021805/1) (R.H., P.M.P. and R.F.L.), the UK Medical Research Council (MR/K015826/1) (R.H.), the Wellcome Trust (203276/Z/16/Z) (S.C., B.B and R.H.) and the Centre National de la Recherche Scientifique (CNRS ATIP-AVENIR program AO2016) (C.L.). P.A. was supported by a PhD fellowship from the UK’s Biotechnology and Biological Sciences Research Council. C.L.D. was supported by PhD funding from the Medical Research Council, UK (1214605). Research by B.B. was supported by UCL, Cancer Research UK (C1529/A17343), and MRC (MC_CF12266). Publisher Copyright: © 2019, The Author(s).

PY - 2019/12/1

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Automating multimodal microscopy with NanoJ-Fluidics

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