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Copyright Nature Publishing Group Apr 2016

Abstract

Undersampling and pixelation affect a number of imaging systems, limiting the resolution of the acquired images, which becomes particularly signicant for wide-eld 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-eld imaging system and signicantly increase its space-bandwidth product. We conrmed 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 (1030 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 eld of view (420 mm2). 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 signicantly fewer measurements. This technique would broadly benet wide-eld imaging applications that demand larger space-bandwidth products.

Details

Title
Strongly enhanced light trapping in a two-dimensional silicon nanowire random fractal array
Author
Fazio, Barbara; Artoni, Pietro; Antonia Iatì, Maria; D'andrea, Cristiano; Lo Faro, Maria Josè; Del Sorbo, Salvatore; Pirotta, Stefano; Giuseppe Gucciardi, Pietro; Musumeci, Paolo; Salvatore Vasi, Cirino; Saija, Rosalba; Galli, Matteo; Priolo, Francesco; Irrera, Alessia
Pages
e16062
Publication year
2016
Publication date
Apr 2016
Publisher
Springer Nature B.V.
e-ISSN
20477538
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1793660566
Copyright
Copyright Nature Publishing Group Apr 2016