Pixel super-resolution using wavelength scanning
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-...
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Veröffentlicht in: | Light, science & applications science & applications, 2016-04, Vol.5 (4), p.e16060-e16060 |
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Zusammenfassung: | 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 ~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.
High-resolution imaging: wavelength scanning enhances resolution
A new way to obtain high-resolution images over wide fields of view that involves scanning the wavelength has been demonstrated by a US team. The resolution of many imaging systems, particularly wide-field microscopes, is limited by undersampling and pixelation. Conventionally, this problem has been remedied by physically shifting the light source, sample or detector. Now, Aydogan Ozcan and co-workers at the University of California, Los Angeles propose a new solution—successively illuminating the sam |
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ISSN: | 2047-7538 2095-5545 2047-7538 |
DOI: | 10.1038/lsa.2016.60 |