Journal
LIGHT-SCIENCE & APPLICATIONS
Volume 5, Issue -, Pages -Publisher
NATURE PUBLISHING GROUP
DOI: 10.1038/lsa.2016.60
Keywords
holographic imaging; on-chip microscopy; pixel super-resolution; wavelength scanning; wide-field imaging
Categories
Funding
- Presidential Early Career Award for Scientists and Engineers (PECASE)
- Army Research Office (ARO) [W911NF-13-1-0419, W911NF-13-1-0197]
- ARO Life Sciences Division
- ARO Young Investigator Award
- National Science Foundation (NSF) CAREER Award
- NSF CBET Division Biophotonics Program
- NSF Emerging Frontiers in Research and Innovation (EFRI) Award
- NSF EAGER Award
- NSF INSPIRE Award
- NSF PFI (Partnerships for Innovation) Award
- Office of Naval Research (ONR)
- Howard Hughes Medical Institute (HHMI)
- National Science Foundation [0963183]
- American Recovery and Reinvestment Act (ARRA)
- Directorate For Engineering
- Div Of Industrial Innovation & Partnersh [1533983] Funding Source: National Science Foundation
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Undersampling and pixelation affect a number of imaging systems, limiting the resolution of the acquired images, which becomes particularly significant for wide-field microscopy applications. Various super-resolution techniques have been implemented to mitigate this resolution loss by utilizing sub-pixel displacements in the imaging system, achieved, for example, by shifting the illumination source, the sensor array and/or the sample, followed by digital synthesis of a smaller effective pixel by merging these sub-pixel-shifted low-resolution images. Herein, we introduce a new pixel super-resolution method that is based on wavelength scanning and demonstrate that as an alternative to physical shifting/displacements, wavelength diversity can be used to boost the resolution of a wide-field imaging system and significantly increase its space-bandwidth product. We confirmed the effectiveness of this new technique by improving the resolution of lens-free as well as lens-based microscopy systems and developed an iterative algorithm to generate high-resolution reconstructions of a specimen using undersampled diffraction patterns recorded at a few wavelengths covering a narrow spectrum (10-30 nm). When combined with a synthetic-aperture-based diffraction imaging technique, this wavelength-scanning super-resolution approach can achieve a half-pitch resolution of 250 nm, corresponding to a numerical aperture of similar to 1.0, across a large field of view (>20 mm(2)). We also demonstrated the effectiveness of this approach by imaging various biological samples, including blood and Papanicolaou smears. Compared with displacement-based super-resolution techniques, wavelength scanning brings uniform resolution improvement in all directions across a sensor array and requires significantly fewer measurements. This technique would broadly benefit wide-field imaging applications that demand larger space-bandwidth products.
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