Pixel super-resolution using wavelength scanning

Wei Luo; Yibo Zhang; Alborz Feizi; Zoltán Göröcs; Aydogan Ozcan

doi:10.1038/lsa.2016.60

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Pixel super-resolution using wavelength scanning

Original Articles

- Pixel super-resolution using wavelength scanning
- Pixel super-resolution using wavelength scanning
- LSA 2016年5卷第2期
- Affiliations：
  
  1.Electrical Engineering Department, University of California, Los Angeles, CA 90095, USA
  2.Bioengineering Department, University of California, Los Angeles, CA 90095, USA
  3.California NanoSystems Institute (CNSI), University of California, Los Angeles, CA 90095, USA
  4.Department of Surgery, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
- Author bio：
  
  A Ozcan, Email: ozcan@ucla.edu
- Funds：
- DOI：10.1038/lsa.2016.60
  中图分类号：
- 纸质出版日期：2016-06，
  
  网络出版日期：2015-12-14，
  
  收稿日期：2015-09-29，
  
  修回日期：2015-12-09，
  
  录用日期：2015-12-11
- Accepted：
Scan QR Code
Pixel super-resolution using wavelength scanning[J]. LSA, 2016,5(2).

Luo, W. et al. Pixel super-resolution using wavelength scanning. Light: Science & Applications, 5, e16060 (2016).
Pixel super-resolution using wavelength scanning[J]. LSA, 2016,5(2). DOI： 10.1038/lsa.2016.60.

Luo, W. et al. Pixel super-resolution using wavelength scanning. Light: Science & Applications, 5, e16060 (2016). DOI： 10.1038/lsa.2016.60.

摘要

Abstract

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 effect

ive 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

). 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.

关键词

Keywords

holographic imagingon-chip microscopypixel super-resolutionwavelength scanningwide-field imaging

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