Fan, Xin and Tang, Zhengyuan and O’Dwyer, Kevin and Hennelly, Bryan M. (2021) An Inexpensive Portable Self-Reference Module for Digital Holographic Microscopy. Photonics, 8 (7). p. 277. ISSN 2304-6732

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Abstract

This paper describes a novel optical system that can be integrated to the image port of an existing brightfield microscope in order to enhance the microscope with the features of digital holographic microscopy. The proposed system is modular and portable. It is relatively inexpensive and robust to vibrations due to its compact design. An additional benefit is that the system does not need to undergo path-length realignment if the sample is changed, unlike several other architectures. The module is based on a square in-line Mach–Zender architecture but achieves the off-axis condition using two sets of wedge prism pairs. This design offers a significant advantage over competing Mach–Zender nearly common-path modules in terms of path length matching of object and reference wavefields for the case of low-temporal coherence sources, which are preferable for low noise phase imaging. An additional advantage that the proposed system has when compared with similar modules is the facility to continuously vary the tilt angles of the object and reference wavefields that are incident on the sensor, which enables the module to be readily adapted to any given microscope and camera. We provide a detailed overview of the module design and construction. Experimental results are demonstrated on a micro-lens array as well as buccal epithelial cells. We also provide a detailed discussion on the relationship between the proposed self-reference module and related common-path and nearly common-path holographic modules that have previously been proposed in the literature.

Item Type:	Article
Additional Information:	Cite as: Barton, S.; Alakkari, S.; O’Dwyer, K.; Ward, T.; Hennelly, B. Convolution Network with Custom Loss Function for the Denoising of Low SNR Raman Spectra. Sensors 2021, 21, 4623. https://doi.org/10.3390/s21144623
Keywords:	digital holographic microscopy; quantitative phase imaging; module;
Academic Unit:	Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Electronic Engineering Faculty of Science and Engineering > Research Institutes > Hamilton Institute Faculty of Science and Engineering > Research Institutes > Human Health Institute
Item ID:	17585
Identification Number:	https://doi.org/10.3390/photonics8070277
Depositing User:	Dr. Bryan Hennelly
Date Deposited:	21 Sep 2023 12:44
Journal or Publication Title:	Photonics
Publisher:	MDPI AG
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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