The demonstration of a quantum dot-sensitized graphene image sensor that offers a very broad spectral response and that is integrated with silicon CMOS technology could potentially be a new cost-effective chip platform for hyperspectral imaging and spectroscopy.
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References
Goossens, S. et al. Nat. Photon. 11, 366–371 (2017).
Qingli, L. et al. J. Biomed. Opt. 18, 100901 (2013).
Gowen, A. et al. Trends Food Sci. Technol. 18, 590–598 (2007).
Huang, H. et al. Sensors 14, 7248–7276 (2014).
Jin, Z. et al. Curr. Opin. Colloid Interface Sci. 20, 439–453 (2015).
Bonaccorso, F. et al. Nat. Photon. 4, 611–622 (2010).
Kelarakis, A. Curr. Opin. Colloid Interface Sci. 20, 354–361 (2015).
Rauch, T. et al. Nat. Photon. 3, 332–336 (2009).
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Callicó, G. Image sensors go broadband. Nature Photon 11, 332–333 (2017). https://doi.org/10.1038/nphoton.2017.83
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DOI: https://doi.org/10.1038/nphoton.2017.83
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