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Transforming the development and dissemination of cutting-edge microscopy and computation

We propose a network of national imaging centers that provide collaborative, interdisciplinary spaces needed for the development, application, and teaching of advanced biological imaging techniques. Our proposal is based on recommendations from a National Science Foundation (NSF)-sponsored workshop on realizing the promise of innovations in imaging and computation for biological discovery.

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Acknowledgements

We thank the NSF for funding the workshop “Enabling Biological Discovery through Innovations in Imaging and Computation” and the MBL for providing the venue and support to organize it, under the able leadership of A. Crawford and L. Kerr. We thank the workshop attendees for contributing their valuable opinions, insights, and expertise, as well as D. Kenney of MBL for careful reading of the manuscript and suggestions for its improvement. H.S., D.A.C.-R., and P.L. acknowledge the Whitman program at MBL for providing funding and space for discussing the ideas that led to the workshop. H.S. acknowledges funding from the National Institute of Biomedical Imaging and Bioengineering and the National Institutes of Health. Research in the D.A.C.-R. lab is supported by a Howard Hughes Medical Institute Scholar Award, a National Science Foundation grant (NSF IOS 1353845), and the National Institutes of Health (R24OD016474, R01NS076558 and DP1NS111778). Research in the P.L. lab is supported by NIH awards R01EB017293, R01EB026300, R01DA044760, and R35OD018559, as well as University of Chicago–Argonne collaboration awards. R.O. is partially supported by the workshop grant (NSF 1821881 01) and acknowledges research support from the National Institute of General Medical Sciences (R01GM114274, R35GM131843).

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Correspondence to Rudolf Oldenbourg.

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Supplementary Note 1: links to web resources and printout of the NSF Workshop webpage.

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Colón-Ramos, D.A., La Riviere, P., Shroff, H. et al. Transforming the development and dissemination of cutting-edge microscopy and computation. Nat Methods 16, 667–669 (2019). https://doi.org/10.1038/s41592-019-0475-y

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