Quantitative phase-contrast by using a modified phase retrieval algorithm

Nathaniel Hai, Joseph Rosen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Spatial filtering-based quantitative phase imaging of transparent objects is demonstrated. By combining a standard phase-contrast microscopy technique with an optical system-mimicking Gerchberg-Saxton phase retrieval algorithm, we successfully transformed a qualitative phase map into an accurate quantitative phase distribution of the examined object. Feeding a phase-induced intensity image into the modified phase retrieval algorithm is found to facilitate the convergence and ambiguities issues associated with the standard algorithms. Accurate phase recovery for two different kinds of objects supports the use of the suggested method as a single-shot quantitative phase-contrast microscope.

Original languageEnglish
Title of host publicationQuantitative Phase Imaging VII
EditorsYang Liu, Gabriel Popescu, YongKeun Park
PublisherSPIE
ISBN (Electronic)9781510641419
DOIs
StatePublished - 1 Jan 2021
EventQuantitative Phase Imaging VII 2021 - Virtual, Online, United States
Duration: 6 Mar 202111 Mar 2021

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume11653
ISSN (Print)1605-7422

Conference

ConferenceQuantitative Phase Imaging VII 2021
Country/TerritoryUnited States
CityVirtual, Online
Period6/03/2111/03/21

Keywords

  • Label-free phase imaging
  • Phase pinhole
  • Phase retrieval algorithm
  • Quantitative phase imaging
  • Quantitative phase-contrast

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

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