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- W2588646483 abstract "Macroscopic imagers are subject to constraints imposed by the wave nature of light and the geometry of image formation. The former limits the resolving power while the latter results in a loss of absolute size and shape information. The suite of methods outlined in this work enables macroscopic imagers the unique ability to capture unresolved spatial detail while recovering topographic information. The common thread connecting these methods is the notion of imaging under patterned illumination. The notion is advanced further to develop computational imagers with resolving power that is decoupled from the constraints imposed by the collection optics and the image sensor. These imagers additionally feature support for multiscale reconstruction." @default.
- W2588646483 created "2017-02-24" @default.
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- W2588646483 date "2017-02-22" @default.
- W2588646483 modified "2023-10-03" @default.
- W2588646483 title "Active computational imaging for circumventing resolution limits at macroscopic scales" @default.
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- W2588646483 doi "https://doi.org/10.1364/ao.56.000d84" @default.
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