Comprehensive tool for a phase compensation reconstruction method in digital holographic microscopy operating in non-telecentric regime
PLOS ONE
RESEARCH ARTICLE
Comprehensive tool for a phase
compensation reconstruction method in
digital holographic microscopy operating in
non-telecentric regime
Brian Bogue-Jimenez ID1, Carlos Trujillo ID2, Ana Doblas ID1*
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OPEN ACCESS
Citation: Bogue-Jimenez B, Trujillo C, Doblas A
(2023) Comprehensive tool for a phase
compensation reconstruction method in digital
holographic microscopy operating in nontelecentric regime. PLoS ONE 18(9): e0291103.
https://doi.org/10.1371/journal.pone.0291103
Editor: Ireneusz Grulkowski, Nicolaus Copernicus
University, POLAND
Received: May 12, 2023
Accepted: August 22, 2023
Published: September 8, 2023
Peer Review History: PLOS recognizes the
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https://doi.org/10.1371/journal.pone.0291103
Copyright: © 2023 Bogue-Jimenez et al. This is an
open access article distributed under the terms of
the Creative Commons Attribution License, which
permits unrestricted use, distribution, and
reproduction in any medium, provided the original
author and source are credited.
Data Availability Statement: The raw codes
written in MATLAB and Python, a MATLAB GUI,
manual, and the non-telecentric holograms are
1 Department of Electrical and Computer Engineering, The University of Memphis, Memphis, Tennessee,
United States of America, 2 School of Applied Sciences and Engineering, Universidad EAFIT, Medellin,
Colombia
*
Abstract
Quantitative phase imaging (QPI) via Digital Holographic microscopy (DHM) has been
widely applied in material and biological applications. The performance of DHM technologies relies heavily on computational reconstruction methods to provide accurate phase
measurements. Among the optical configuration of the imaging system in DHM, imaging
systems operating in a non-telecentric regime are the most common ones. Nonetheless, the
spherical wavefront introduced by the non-telecentric DHM system must be compensated
to provide undistorted phase measurements. The proposed reconstruction approach is
based on previous work from Kemper’s group. Here, we have reformulated the problem,
reducing the number of required parameters needed for reconstructing phase images to the
sensor pixel size and source wavelength. The developed computational algorithm can be
divided into six main steps. In the first step, the selection of the +1-diffraction order in the
hologram spectrum. The interference angle is obtained from the selected +1 order. Secondly, the curvature of the spherical wavefront distorting the sample’s phase map is estimated by analyzing the size of the selected +1 order in the hologram’s spectrum. The third
and fourth steps are the spatial filtering of the +1 order and the compensation of the interference angle. The next step involves the estimation of the center of the spherical wavefront.
An optional final optimization step has been included to fine-tune the estimated parameters
and provide fully compensated phase images. Because the proper implementation of a
framework is critical to achieve successful results, we have explicitly described the steps,
including functions and toolboxes, required for reconstructing phase images without distortions. As a result, we have provided open-access codes and a user interface tool with minimum user input to reconstruct holograms recorded in a non-telecentric DHM system.
Introduction
Digital Holographic Microscopy (DHM) is a quantitative phase imaging modality that relies
on optical interferometry to record holograms [1–5], and numerical reconstruction
PLOS ONE | https://doi.org/10.1371/journal.pone.0291103 September 8, 2023
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PLOS ONE
publicly available on GitHub, https://github.com/
OIRL/noteleDHM-Tool.
Funding: This research was partially funded by the
Vicerrectorı́a de Ciencia, Tecnologı́a e Innovación
from Universidad EAFIT, and National Science
Foundation (NSF) grant number 2042563. The
funders had no role in library design,
implementation and validation, decision to publish,
or preparation of the manuscript.
Competing interests: The authors have declared
that no competing interests exist.
Comprehensive tool for a phase compensation reconstruction method in DHM operating in non-telecentric regime
procedures to retrieve amplitude and phase information from micrometric specimens. The
phase information encodes the lateral and axial information of the sample, enabling the characterization of both its functional and morphological information. Therefore, DHM has
proven to be a powerful metrological tool when non-invasive imaging is desired across various
fields and applications [1–5]. In biology, it has been applied to study cells and tissues, offering
a powerful tool for developmental biology [6], stem cell research [7], and cancer diagnosis [8].
DHM has also found applications in material science, where it has been used to study the
microstructure and mechanical properties of materials such as polymers [9], ceramics [10],
and metals [11]. Additionally, DHM has been used for particle analysis in liquids and suspensions, allowing for the determination of particle size, shape, and concentration [12]. DHM has
also been applied in microfluidics to study fluid flow and behavior at the microscale, including
lab-on-a-chip devices [13]. DHM has also found applications in industrial inspection, where it
has been used for non-destructive testing and quality control in industries such as electronics
[14] and pharmaceuticals [15]. These applications demonstrate the versatility and potential of
DHM as a tool for scientific and industrial applications.
Wavefront aberrations can significantly distort the accuracy of the phase measurements
provided by DHM during the hologram recording [16]. The most common distortion is phase
aberration due to the tilt angle between the interfering object and reference wavefronts inherent in all off-axis DHM systems. This first-order phase aberration is observable on the
recorded holograms as interferential fringes. Correction of this linear phase aberration is
known as the phase compensation stage in DHM reconstruction algorithms, in which the
shifted object spectrum (e.g., the +1-diffraction term) is centered on the frequency origin.
Over the last decade, several research groups have proposed automated compensation methods [17, 18]. These methods reconstruct phase images by minimizing the number of phase
wrappings in the final reconstructed phase map. However, a significant limitation of these
computational approaches is that they are designed for only telecentric-based DHM imaging
systems, assuming that the center of the +1-diffraction term is a maximum value.
Although telecentric-based DHM systems have been validated as intrinsically linear shiftinvariant imaging sys (...truncated)