Hu, Z. orcid.org/0000-0001-7306-883X, Zhang, Y. and Maiden, A. orcid.org/0000-0002-8192-8235 (2024) Computational optical sectioning via near-field multi-slice ptychography. Optics Letters, 49 (17). pp. 4839-4842. ISSN 0146-9592
Abstract
We introduce a method for the computational sectioning of optically thick samples based on a combination of near-field and multi-slice ptychography. The method enables a large field-of-view 3D phase imaging of samples that is an order of magnitude thicker than the depth of field of bright-field microscopy. An axial resolution for these thick samples is maintained in the presence of multiple scattering, revealing a complex structure beyond the depth of the field limit. In this Letter, we describe the new, to the best of our knowledge, approach and demonstrate its effectiveness using a range of samples with diverse thicknesses and optical properties.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 Optica Publishing Group. Published by Optica Publishing Group under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/). Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI. |
Keywords: | Atomic, Molecular and Optical Physics; Physical Sciences |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) The University of Sheffield > Faculty of Engineering (Sheffield) > School of Electrical and Electronic Engineering |
Funding Information: | Funder Grant number BIOTECHNOLOGY AND BIOLOGICAL SCIENCES RESEARCH COUNCIL BB/X003221/1 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 17 Sep 2024 16:29 |
Last Modified: | 17 Sep 2024 16:31 |
Status: | Published |
Publisher: | Optica Publishing Group |
Refereed: | Yes |
Identification Number: | 10.1364/ol.529190 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:217298 |