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The authors thank the Icy team and, in particular, S. Dallongeville and F. de Chaumont, the Icy CODING party and France-BioImaging infrastructure supported by the French National Research Agency (ANR-10-INBS-04, “Investments for the future”). X.H. was funded by the Labex grant No. ANR-10-LBX-0038 part of the IDEX Idex PSL No. ANR-10-IDEX-0001-02 PSL. We acknowledge the FRM grant No. DEQ20140329491. This work was supported by the Francis Crick Institute, which receives its core funding from Cancer Research UK (grant no. FC001004), the UK Medical Research Council (grant no. FC001004), and the Wellcome Trust (grant no. FC001004). We thank B. Ji and B. Dubertret (Laboratoire de Physique et d'Étude des Matériaux, PSL Research University, Sorbonne Universités, Paris, France) for providing the QDots aggregates; C. Delevoye for his thoughtful reading of the manuscript; M. Schorb and M. Karreman; and Y. Schwab and his team for their support and advice on the software.
The co-first author X.H. and the second author M.B. of this manuscript have interest in the CryoCapCell company. This company develops laboratory tools to simplify sample preparation in CLEM experiment workflows. The quantum dot aggregates presented in this manuscript are a research field of the company. The software presented here is not dependent on the quantum dots aggregates and can be used independently. No patent has been filed for the application of the quantum dots in CLEM experiments with eC-CLEM.
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Paul-Gilloteaux, P., Heiligenstein, X., Belle, M. et al. eC-CLEM: flexible multidimensional registration software for correlative microscopies. Nat Methods 14, 102–103 (2017). https://doi.org/10.1038/nmeth.4170
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