Roadmap on digital holography
This Roadmap article on digital holography provides an overview of a vast array of research
activities in the field of digital holography. The paper consists of a series of 25 sections from …
activities in the field of digital holography. The paper consists of a series of 25 sections from …
On the use of deep learning for phase recovery
Phase recovery (PR) refers to calculating the phase of the light field from its intensity
measurements. As exemplified from quantitative phase imaging and coherent diffraction …
measurements. As exemplified from quantitative phase imaging and coherent diffraction …
[HTML][HTML] Changes and improvements in Industry 5.0: A strategic approach to overcome the challenges of Industry 4.0
Industry 4.0 has introduced new technological advances such as Additive Manufacturing
(AM), Artificial Intelligence (AI), Augmented Reality (AR), Cyber–physical systems (CPS) …
(AM), Artificial Intelligence (AI), Augmented Reality (AR), Cyber–physical systems (CPS) …
Deep learning for digital holography: a review
Recent years have witnessed the unprecedented progress of deep learning applications in
digital holography (DH). Nevertheless, there remain huge potentials in how deep learning …
digital holography (DH). Nevertheless, there remain huge potentials in how deep learning …
Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …
innovation to many digital technologies. Even after the progression of vaccination efforts …
Speeding up reconstruction of 3D tomograms in holographic flow cytometry via deep learning
Tomographic flow cytometry by digital holography is an emerging imaging modality capable
of collecting multiple views of moving and rotating cells with the aim of recovering their …
of collecting multiple views of moving and rotating cells with the aim of recovering their …
[HTML][HTML] Deep-learning computational holography: A review
Deep learning has been developing rapidly, and many holographic applications have been
investigated using deep learning. They have shown that deep learning can outperform …
investigated using deep learning. They have shown that deep learning can outperform …
Even patients with mild COVID‐19 symptoms after SARS‐CoV‐2 infection show prolonged altered red blood cell morphology and rheological parameters
M Grau, L Ibershoff, J Zacher, J Bros… - Journal of cellular …, 2022 - Wiley Online Library
Infection with the novel severe acute respiratory syndrome coronavirus‐2 (SARS‐CoV‐2)
and the associated coronavirus disease‐19 (COVID‐19) might affect red blood cells (RBC); …
and the associated coronavirus disease‐19 (COVID‐19) might affect red blood cells (RBC); …
A dataset of digital holograms of normal and thalassemic cells
V Abbasian, A Darafsheh - Scientific data, 2024 - nature.com
Digital holographic microscopy (DHM) is an intriguing medical diagnostic tool due to its label-
free and quantitative nature, providing high-contrast images of phase samples. By capturing …
free and quantitative nature, providing high-contrast images of phase samples. By capturing …
Differential diagnosis of hereditary anemias from a fraction of blood drop by digital holography and hierarchical machine learning
Anemia affects about the 25% of the global population and can provoke severe diseases,
ranging from weakness and dizziness to pregnancy problems, arrhythmias and hearth …
ranging from weakness and dizziness to pregnancy problems, arrhythmias and hearth …