Results 81 to 90 of about 3,702 (285)
Innovations in Gastric Cancer Surgery During Early Minimally Invasive Era and Future Perspectives
With continuing revelations in tumor biology and the emergence of artificial intelligence, new horizons for surgical innovation are opening. At the center of this transformative journey stands the innovative surgeon, driven by passion, guided by data, and steadfast in the commitment to patient safety and quality of life.
Reut El‐On, Young‐Woo Kim
wiley +1 more source
Modulating Phase Encoding With Amplitude Compensation for Hologram Reconstruction
In holographic three-dimensional (3D) display, phase-only spatial light modulators (SLMs) can only accept pure phase modulation signals, often leading to amplitude distortion in the reconstructed image and inaccurate object reconstruction.
Jinbin Gui +3 more
doaj +1 more source
In the paper, the influence of phase distribution over the objects’ space on resolution and depth of field of computer-generated holograms has been investigated.
Koreshev Sergey +3 more
doaj +1 more source
Holographic Mapping of Orbital Angular Momentum using a Terahertz Diffractive Optical Neural Network
A compact six‐layer diffractive optical neural network enables direct recognition and spatial mapping of terahertz (THz) orbital angular momentum (OAM) beams. Fabricated by 3D printing, the system distinguishes nine OAM modes and their superpositions with high fidelity, good efficiency, and low crosstalk, offering a scalable solution for THz ...
Wei Jia +3 more
wiley +1 more source
Double resolution microwave holography
Includes bibliographical references.This thesis endeavours to record the development and subsequent evaluation of a simple technique for the recording of microwave holograms using common hardware components, which offers the possibility of significant ...
Nilsen, Christopher Shakespeare
core
Toward Intelligent Multimodal Holography for Real‐Time Chemical Imaging of Dynamic Ion Separation
Intelligent multimodal holography integrates digital off‐axis holography, spectroscopic imaging, and AI‐driven reconstruction to visualize ion transport and chemical dynamics in real time. In this perspective paper, we outline how this approach enables label‐free, chemically specific monitoring of complex environments and discuss its potential to ...
Giovanna Ricchiuti +3 more
wiley +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
Generation of Multiple‐Depth 3D Computer‐Generated Holograms from 2D‐Image‐Datasets Trained CNN
Generating computer‐generated holograms (CGHs) for 3D scenes by learning‐based methods can reconstruct arbitrary 3D scenes with higher quality and faster speed. However, the homogenization and difficulty of obtaining 3D high‐resolution datasets seriously
Xingpeng Yan +10 more
doaj +1 more source
HTFC gets 3D refractive index tomograms of flowing cells. Label‐free monocytes are engineered to express patterns of cytoplasmic vacuoles. From the tomogram, an efficient dimensionality reduction is operated. Interpretable features are extracted to classify the expression severity of phenotypes coexisting in each cell, visually represented by a seven ...
Marika Valentino +9 more
wiley +1 more source
Pixel Level Depth Estimation in Computer Generated Holograms
International audiencePixel Level Depth Estimation in Computer Generated ...
Madali, Nabil +3 more
core +2 more sources

