Sparsity-based pixel super resolution for lens-free digital in-line holography

Jun Song, Christine Leon Swisher, Hyungsoon Im, Sangmoo Jeong, Divya Pathania, Yoshiko Iwamoto, Misha Pivovarov, Ralph Weissleder, Hakho Lee

Research output: Contribution to journalArticle

Abstract

Lens-free digital in-line holography (LDIH) is a promising technology for portable, wide field-of-view imaging. Its resolution, however, is limited by the inherent pixel size of an imaging device. Here we present a new computational approach to achieve sub-pixel resolution for LDIH. The developed method is a sparsity-based reconstruction with the capability to handle the non-linear nature of LDIH. We systematically characterized the algorithm through simulation and LDIH imaging studies. The method achieved the spatial resolution down to one-third of the pixel size, while requiring only single-frame imaging without any hardware modifications. This new approach can be used as a general framework to enhance the resolution in nonlinear holographic systems.

Original languageEnglish (US)
Article number24681
JournalScientific reports
Volume6
DOIs
StatePublished - Apr 21 2016

ASJC Scopus subject areas

  • General

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    Song, J., Leon Swisher, C., Im, H., Jeong, S., Pathania, D., Iwamoto, Y., Pivovarov, M., Weissleder, R., & Lee, H. (2016). Sparsity-based pixel super resolution for lens-free digital in-line holography. Scientific reports, 6, [24681]. https://doi.org/10.1038/srep24681