Results 71 to 80 of about 3,360 (241)
Self-supervised learning of hologram reconstruction using physics consistency
, 2022 The past decade has witnessed transformative applications of deep learning in various computational imaging, sensing and microscopy tasks. Due to the supervised learning schemes employed, these methods mostly depend on large-scale, diverse, and labeled ...
Aydogan Ozcan (138135) +3 more
core +1 more source
Advanced Intelligent Systems, EarlyView.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
Applied Sciences, 2017 We present a simple yet effective method, without the need for any additional recording of intensity maps or tremendous iterative computations, to recover reference-wave intensity resulting from the complex hologram acquired by quadrature phase-shifting ...
Wen-Jing Zhou +2 more
doaj +1 more source
Efficient Hogel-Based Hologram Synthesis Method for Holographic Stereogram Printing
Applied Sciences, 2020 With the development of the holographic printer, printing synthetic hologram requires smaller holographic element (hogel) size to improve spatial resolution of the reconstruction.
Erkhembaatar Dashdavaa +7 more
doaj +1 more source
Scene‐Customized Learning for Multi‐Depth 3D Phase‐Only Hologram Generation
Advanced Intelligent Systems, EarlyView.Scene‐customized geometric modeling constructs GM‐4K, a controllable 4K RGB‐D dataset for learning‐based multi‐depth hologram generation. By tuning intensity spectra and depth‐region sampling, the dataset reveals how training‐data statistics affect phase‐only hologram encoding and supports a spectral test framework for evaluating model generalization ...
Yanan Zhang +5 more
wiley +1 more source
End-to-end learning for digital hologram reconstruction
, 2018 Digital holography is a well-known method to perform three-dimensional imaging by recording the light wavefront information originating from the object.
Edmund Y. Lam +5 more
core +1 more source
Three-dimensional object reconstruction using phase-only information from a digital hologram [PDF]
, 2002 We present the initial results of a novel technique that uses only phase information from a digital hologram for the reconstruction of three-dimensional (3D) objects. Our holograms are created using phase-shift digital holography.
Bertaux, Nicolas +9 more
core +1 more source
Guiding and Manipulating Light Fields in Microstructured Liquid Crystals
Advanced Physics Research, EarlyView.This review summarizes recent advances in guided‐wave optics enabled by microstructured liquid crystal (LC) devices, covering their fundamental material properties, key degree of freedom for dynamic light field manipulations. The advances of linear guided‐wave optics, nonlinear‐optics with spatial optical solitons, and microlasers in LC‐based devices ...
Shan‐shan Chang +2 more
wiley +1 more source
Double resolution microwave holography
, 1976 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
Information content as a parameter of acoustical hologram reconstructibillty
Archives of Acoustics, 2016 The aim of this paper is to discuss the information content of an acoustical hologram and to determine its dependence on the determining parameters.
Jan KALUŽNÝ, Jerzy K. ZIELENIUK
doaj