JDiffraction: A GPGPU-accelerated JAVA library for numerical propagation of scalar wave fields

Piedrahita-Quintero, Pablo; Trujillo, Carlos; Garcı́a-Sucerquia, Jorge

doi:10.1016/j.cpc.2016.12.016

Cited by 9 publications

(3 citation statements)

References 20 publications

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“…Finally, DHM enables the 3D reconstruction of quantitative phase distributions from a defocused hologram by numerically propagating the reconstructed complex object wavefront, making DHM technology suitable for live cell imaging and 3D tracking applications [27,28]. This means that apart from the object's extraction information from the recorded hologram, the computational DHM framework should include numerical propagators based on the angular spectrum or Fresnel Transform approaches [29] to reconstruct the in-focus complex object distribution. Among the angular spectrum and Fresnel Transform approaches, the angular spectrum approach is the most common propagator in most DHM systems…”

Section: =mentioning

confidence: 99%

Overview of computational advances in quantitative phase imaging using digital holographic microscopy

Doblas,

Bogue-Jimenez,

Obando Vásquez

et al. 2024

Three-Dimensional Imaging, Visualization, and Display 2024

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Owing to its high resolution, sensitivity, imaged field of view, and frame rate acquisition, Digital Holographic Microscopy (DHM) stands out among the Quantitative phase imaging (QPI) techniques to reconstruct high-resolution phase images from micrometer-sized samples, providing information about the sample's topography and refractive index. Despite the successful performance of DHM systems, their applicability to in-situ clinical research has been partially hampered by the need for a standard phase reconstruction algorithm that provides quantitative phase distributions without any phase distortion. This invited talk overviews the current advances in computational DHM reconstruction approaches from semiheuristic to learning-based approaches.

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Section: =mentioning

confidence: 99%

Overview of computational advances in quantitative phase imaging using digital holographic microscopy

Doblas,

Bogue-Jimenez,

Obando Vásquez

et al. 2024

Three-Dimensional Imaging, Visualization, and Display 2024

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“…( 1). It can be performed using discrete implementations of the angular spectrum 17 and the Fresnel transform 1819 . The selection between the angular spectrum and the Fresnel transform method depends on the propagation distance and the optical parameters of the DHM system.…”

Section: Out-focus Dhm Imaging Reconstructionmentioning

confidence: 99%

Concurrent execution of phase compensation and automatic focusing procedures for telecentric off-axis digital holographic microscopy

Guerrero-Castañeda

Trujillo

Doblas

2023

Quantitative Phase Imaging IX

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This contribution presents a joint phase compensation and autofocusing method for telecentric off-axis Digital Holographic Microscopy (DHM). Current challenges of off-axis DHM systems applied to in-vivo imaging are the automatic reconstruction of phase images without phase distortions while the specimens under research move within the volume, generating out-of-focus holograms. Although different proposals to tackle these challenges individually have been reported for static samples, in this proposal, both issues are solved concurrently with no additional user intervention. As a result, in-focus compensated phase images of the out-of-focus studied samples are obtained. The proposal has been validated using simulated data.

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“…validated their plugging by numerically propagating experimental holograms recorded in off-axis DH and DHM systems. In 2017, the same authors upgraded their previously-developed JAVA-based plugin to a GPU-accelerated library, JDiffraction [ 37 ]. The OpenHolo library, developed by Hong et al .…”

Section: Introductionmentioning

confidence: 99%

pyDHM: A Python library for applications in digital holographic microscopy

Guerrero-Castañeda

Trujillo²,

Doblas³

2022

PLoS ONE

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pyDHM is an open-source Python library aimed at Digital Holographic Microscopy (DHM) applications. The pyDHM is a user-friendly library written in the robust programming language of Python that provides a set of numerical processing algorithms for reconstructing amplitude and phase images for a broad range of optical DHM configurations. The pyDHM implements phase-shifting approaches for in-line and slightly off-axis systems and enables phase compensation for telecentric and non-telecentric systems. In addition, pyDHM includes three propagation algorithms for numerical focusing complex amplitude distributions in DHM and digital holography (DH) setups. We have validated the library using numerical and experimental holograms.

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JDiffraction: A GPGPU-accelerated JAVA library for numerical propagation of scalar wave fields

Cited by 9 publications

References 20 publications

Overview of computational advances in quantitative phase imaging using digital holographic microscopy

Overview of computational advances in quantitative phase imaging using digital holographic microscopy

Concurrent execution of phase compensation and automatic focusing procedures for telecentric off-axis digital holographic microscopy

pyDHM: A Python library for applications in digital holographic microscopy

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