pyDHM: A Python library for applications in digital holographic microscopy
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 …
applications. The pyDHM is a user-friendly library written in the robust programming …
Single-shot slightly off-axis digital holographic microscopy with add-on module based on beamsplitter cube
Slightly off-axis digital holographic microscopy (SO-DHM) has recently emerged as a novel
experimental arrangement for quantitative phase imaging (QPI). It offers improved …
experimental arrangement for quantitative phase imaging (QPI). It offers improved …
Video-rate quantitative phase imaging using a digital holographic microscope and a generative adversarial network
The conventional reconstruction method of off-axis digital holographic microscopy (DHM)
relies on computational processing that involves spatial filtering of the sample spectrum and …
relies on computational processing that involves spatial filtering of the sample spectrum and …
Automatic full compensation of quantitative phase imaging in off-axis digital holographic microscopy
An automatic method that fully compensates the quantitative phase measurements in off-
axis digital holographic microscopy (DHM) is presented. The two main perturbations of the …
axis digital holographic microscopy (DHM) is presented. The two main perturbations of the …
Automated red blood cells extraction from holographic images using fully convolutional neural networks
In this paper, we present two models for automatically extracting red blood cells (RBCs) from
RBCs holographic images based on a deep learning fully convolutional neural network …
RBCs holographic images based on a deep learning fully convolutional neural network …
Fast-iterative automatic reconstruction method for quantitative phase image with reduced phase perturbations in off-axis digital holographic microscopy
R Castaneda, A Doblas - Applied Optics, 2021 - opg.optica.org
This works presents a reconstruction algorithm to recover the complex object information for
an off-axis digital holographic microscope (DHM) operating in the telecentric regimen. We …
an off-axis digital holographic microscope (DHM) operating in the telecentric regimen. We …
Holo-UNet: hologram-to-hologram neural network restoration for high fidelity low light quantitative phase imaging of live cells
Intensity shot noise in digital holograms distorts the quality of the phase images after phase
retrieval, limiting the usefulness of quantitative phase microscopy (QPM) systems in long …
retrieval, limiting the usefulness of quantitative phase microscopy (QPM) systems in long …
Adaptive frequency filtering based on convolutional neural networks in off-axis digital holographic microscopy
Digital holographic microscopy (DHM) as a label-free quantitative imaging tool has been
widely used to investigate the morphology of living cells dynamically. In the off-axis DHM …
widely used to investigate the morphology of living cells dynamically. In the off-axis DHM …
Comparison of common-path off-axis digital holography and transport of intensity equation in quantitative phase measurement
The quantitative phase imaging methods based on digital holography (DH) and transport of
intensity equation (TIE) are both popular high-resolution computational imaging techniques …
intensity equation (TIE) are both popular high-resolution computational imaging techniques …
Single-shot dual-wavelength off-axis quasi-common-path digital holography using polarization-multiplexing
We present a dual-wavelength off-axis quasi-common-path digital holography for
quantitative phase imaging using polarization-multiplexing in a single shot. Employing an off …
quantitative phase imaging using polarization-multiplexing in a single shot. Employing an off …