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The design and fabrication of compact and versatile holographic structures are critical for advancing next-generation technologies, ranging from augmented and virtual reality (AR/VR) devices to optical holographic data storage. While significant progress has been made in holographic design and fabrication, existing methods often involve trade-offs between size, holographic image quality, and manufacturing complexity. Binary or few-level holographic structures, though simple to design and fabricate, are prone to twin-image artifacts, limiting their performance. In contrast, common spatial light modulators (SLMs) achieve higher fidelity but are bulky and unsuitable for compact applications. In this work, we present a novel approach and proof to holographic diffractive optical elements (DOEs) by integrating a ternary phase design with high-resolution glass 3D printing. Utilizing the ternary design achieves the minimal quantization required to suppress twin images, balancing optical performance and fabrication simplicity. We fabricated glass DOEs with nanometer-scale precision using additive manufacturing, achieving excellent agreement between simulated and experimental holographic results. Comparative thermal resistance tests demonstrated the superior durability of glass DOEs, which maintained structural integrity and holographic performance under extreme conditions, outperforming organic alternatives. By combining innovative phase design with the inherent material advantages of glass-thermal resistance, mechanical durability, and optical clarity-this study highlights the transformative potential of 3D-printed glass DOEs.
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http://dx.doi.org/10.1002/adom.202501074 | DOI Listing |
IEEE Trans Vis Comput Graph
September 2025
Holography is a promising approach to recreate lifelike 3D scenes. However, due to the current Spatial Light Modulators (SLMs) lacking sufficient pixels, the defocused planes of holograms always exhibit obvious interference phenomena. The methods based on random phase can alleviate this problem, but they always affect the imaging quality of the focal plane.
View Article and Find Full Text PDFThe ability to detect and transmit novel events is essential for adaptive behavior in uncertain environments. Here, we investigate how holographically triggered, unanticipated action potentials propagate through the primary visual cortex of resting mice, focusing on pyramidal neuron communication. We find that these novel spikes - uncorrelated with ongoing activity - exert a disproportionately large influence on neighboring neurons, whose response scales as a power law (exponent ∼0.
View Article and Find Full Text PDFJ Biomed Opt
September 2025
Guangdong University of Technology, Institute of Advanced Photonics Technology, School of Information Engineering, Guangzhou, China.
Significance: Accurate cell classification is essential in disease diagnosis and drug screening. Three-dimensional (3D) voxel models derived from holographic tomography effectively capture the internal structural features of cells, enhancing classification accuracy. However, their high dimensionality leads to significant increases in data volume, computational complexity, processing time, and hardware costs, which limit their practical applicability.
View Article and Find Full Text PDFActa Neurochir (Wien)
September 2025
Machine Intelligence in Clinical Neuroscience & Microsurgical Neuroanatomy (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Background: Microsurgical resection of thalamic tumors requires precise anatomical knowledge and meticulous preoperative planning. Given the complexity of thalamic surgery, selecting an optimal surgical approach demands an accurate three-dimensional understanding of relevant structures. Advanced imaging post-processing, including three-dimensional (3D) model construction, can aid surgical planning and mental rehearsal of the procedure.
View Article and Find Full Text PDFSci Rep
August 2025
Institute of Library, Information and Media Science, University of Tsukuba, Tsukuba, Ibaraki, 305-8550, Japan.
This paper presents a method for generating dynamic caustic patterns by utilising dual-optimised holographic fields with Phased Array Transducer (PAT). Building on previous research in static caustic optimisation and ultrasonic manipulation, this approach employs computational techniques to dynamically shape fluid surfaces, thereby creating controllable and real-time caustic images. The system employs a Digital Twin framework, which enables iterative feedback and refinement, thereby improving the accuracy and quality of the caustic patterns produced.
View Article and Find Full Text PDF