Sparsity-based single-shot subwavelength coherent diffractive imaging

Coherent Diffractive Imaging (CDI) is an algorithmic imaging technique where intricate features are reconstructed from measurements of the freely diffracting intensity pattern. An important goal of such lensless imaging methods is to study the structure of molecules that cannot be crystallized. Idea...

Full description

Saved in:
Bibliographic Details
Published inNature materials Vol. 11; no. 5; pp. 455 - 459
Main Authors Szameit, A, Shechtman, Y, Osherovich, E, Bullkich, E, Sidorenko, P, Dana, H, Steiner, S, Kley, E B, Gazit, S, Cohen-Hyams, T, Shoham, S, Zibulevsky, M, Yavneh, I, Eldar, Y C, Cohen, O, Segev, M
Format Journal Article
LanguageEnglish
Published England Nature Publishing Group 01.04.2012
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Coherent Diffractive Imaging (CDI) is an algorithmic imaging technique where intricate features are reconstructed from measurements of the freely diffracting intensity pattern. An important goal of such lensless imaging methods is to study the structure of molecules that cannot be crystallized. Ideally, one would want to perform CDI at the highest achievable spatial resolution and in a single-shot measurement such that it could be applied to imaging of ultrafast events. However, the resolution of current CDI techniques is limited by the diffraction limit, hence they cannot resolve features smaller than one half the wavelength of the illuminating light. Here, we present sparsity-based single-shot subwavelength resolution CDI: algorithmic reconstruction of subwavelength features from far-field intensity patterns, at a resolution several times better than the diffraction limit. This work paves the way for subwavelength CDI at ultrafast rates, and it can considerably improve the CDI resolution with X-ray free-electron lasers and high harmonics.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ObjectType-Article-2
ObjectType-Feature-1
ISSN:1476-1122
1476-4660
DOI:10.1038/nmat3289