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dc.contributor.authorKreit, Eric
dc.contributor.authorMathger, Lydia M.
dc.contributor.authorHanlon, Roger T.
dc.contributor.authorDennis, Patrick B.
dc.contributor.authorNaik, Rajesh R.
dc.contributor.authorForsythe, Eric
dc.contributor.authorHeikenfeld, Jason
dc.date.accessioned2012-10-12T18:01:16Z
dc.date.available2012-10-12T18:01:16Z
dc.date.issued2011-11
dc.identifier.urihttp://hdl.handle.net/1912/5446
dc.descriptionAuthor Posting. © The Author(s), 2011. This is the author's version of the work. It is posted here by permission of The Royal Society for personal use, not for redistribution. The definitive version was published in Journal of the Royal Society Interface 6 (2013): 20120601, doi:10.1098/rsif.2012.0601.en_US
dc.description.abstractAdaptive reflective surfaces have been a challenge for both electronic paper (e-Paper) and biological organisms. Multiple colours, contrast, polarization, reflectance, diffusivity and texture must all be controlled simultaneously without optical losses in order to fully replicate the appearance of natural surfaces and vividly communicate information. This review merges the frontiers of knowledge for both biological adaptive coloration, with a focus on cephalopods, and synthetic reflective e-Paper within a consistent framework of scientific metrics. Currently, the highest performance approach for both nature and technology utilizes colourant transposition. Three outcomes are envisioned from this review: reflective display engineers may gain new insights from millions of years of natural selection and evolution; biologists will benefit from understanding the types of mechanisms, characterization, and metrics used in synthetic reflective e-Paper; all scientists will gain a clearer picture of the long-term prospects for capabilities such as adaptive concealment and signalling.en_US
dc.description.sponsorshipThe Univ. Cincinnati authors gratefully acknowledge partial support from AFRL contract 5408-25-SC-0003 NSF Career award no. 0640964 (University of Cincinnati), NSF IHCS award no. 1001141, and ARL grant no. W9111NF-09-2-0034. MBL authors acknowledge support from AFOSR grant FA9550-09-0346, ARL grant W911NF-09-2-0043, DARPA (DSO) grant W911NF-10-1-0113, and ONR grant N00014-10-1-0989. RN acknowledges support from AFOSR.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.relation.urihttp://dx.doi.org/10.1098/rsif.2012.0601
dc.titleBiological versus electronic adaptive coloration : how can one inform the other?en_US
dc.typePreprinten_US


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