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• W2024572837 startingPage "12469" @default.
• W2024572837 abstract "Lens-free holographic on-chip imaging is an emerging approach that offers both wide field-of-view (FOV) and high spatial resolution in a cost-effective and compact design using source shifting based pixel super-resolution. However, color imaging has remained relatively immature for lens-free on-chip imaging, since a 'rainbow' like color artifact appears in reconstructed holographic images. To provide a solution for pixel super-resolved color imaging on a chip, here we introduce and compare the performances of two computational methods based on (1) YUV color space averaging, and (2) Dijkstra's shortest path, both of which eliminate color artifacts in reconstructed images, without compromising the spatial resolution or the wide FOV of lens-free on-chip microscopes. To demonstrate the potential of this lens-free color microscope we imaged stained Papanicolaou (Pap) smears over a wide FOV of ~14 mm(2) with sub-micron spatial resolution." @default.
• W2024572837 created "2016-06-24" @default.
• W2024572837 creator A5000708552 @default.
• W2024572837 creator A5022751168 @default.
• W2024572837 creator A5023168034 @default.
• W2024572837 creator A5061995742 @default.
• W2024572837 date "2013-05-14" @default.
• W2024572837 modified "2023-09-27" @default.
• W2024572837 title "Wide-field computational color imaging using pixel super-resolved on-chip microscopy" @default.
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• W2024572837 doi "https://doi.org/10.1364/oe.21.012469" @default.
• W2024572837 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3686357" @default.
• W2024572837 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/23736466" @default.
• W2024572837 hasPublicationYear "2013" @default.
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