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In this study, we have demonstrated diverse applications of high-density polarization multiplexed holograms in an azo-carbazole polymer film. We investigate three distinct multiplexing methods, namely i) hybrid polarization-angular multiplexing for high-density data storage, ii) hybrid spatial-polarization multiplexing for a dynamic display, and iii) hybrid polarization-depth multiplexing for depth selective 3D display. Up to 24 images were successfully recorded and then retrieved individually from a single hologram without any cross-talk, using the first multiplexing scheme. Similarly, by employing the second multiplexing scheme, six new images were composed (reconstructed) from a hologram recorded with elemental patterns. Finally, images that can be selectively reconstructed at different depths have been demonstrated using the third multiplexing scheme. In this paper, up to three data recordings at one position in the thin azo-carbazole polymer film are demonstrated for the first time to the best of our knowledge. Our findings underscore the suitability of azo-carbazole copolymer-based composite films for various applications, spanning data storage and display technologies.
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http://dx.doi.org/10.1364/OE.522262 | DOI Listing |
Nanophotonics
August 2025
Wangzhijiang Innovation Center for Laser, Aerospace Laser Technology and System Department, Shanghai Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Shanghai, 201800, China.
The high extinction ratio mode (de)multiplexer is a pivotal component in high capacity mode-division multiplexing data communication and nascent on-chip intermodal acousto-optic modulators. Up to now, high performance on-chip mode (de)multiplexers are still lacking for integrated AOMs on the lithium niobate-on-insulator platform. In this paper, we propose and demonstrate an innovative scheme to achieve high extinction ratio signal routing for acousto-optic modulation, by leveraging a two-mode (de)multiplexer in conjunction with a high- racetrack microring resonator.
View Article and Find Full Text PDFSpatiotemporal mode-locking (STML) in multi-mode fibers provides a novel approach, to our knowledge. to overcoming the power limitations of conventional single-mode lasers. However, the existing spatial filtering-based STML schemes are limited by the number of locked transverse modes, which severely constrains the power enhancement.
View Article and Find Full Text PDFBMC Microbiol
August 2025
Institute of Medical Microbiology and Hospital Hygiene, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Background: The vaginal microbiome plays an important role in female health; it is associated with reproductive success, susceptibility to sexually transmitted infections, and, importantly, the most prevalent vaginal condition in reproduction-age women, bacterial vaginosis (BV). Traditionally, 16S rRNA gene sequencing-based approaches have been used to characterize the composition of vaginal microbiomes, but shallow shotgun metagenomic sequencing (SMS) approaches, in particular when implemented with the Oxford Nanopore Technologies, have important potential advantages with respect to cost effectiveness, speed of data generation, and the availability of flexible multiplexing schemes.
Results: Based on a study cohort of n = 52 women, of which 23 were diagnosed with BV, we evaluated the applicability of Nanopore-based SMS for the characterization of vaginal microbiomes in direct comparison to Illumina 16S-based sequencing.
BMC Genomics
August 2025
The Pirbright Institute, Ash Road, Pirbright, Surrey, GU24 0NF, UK.
Background: Foot-and-mouth disease virus (FMDV) is capable of causing explosive outbreaks among domestic and wild cloven-hoofed animals. Genomic characterisation of FMDV is a crucial component of disease control enabling accurate tracing of disease outbreaks to be undertaken. Nanopore sequencing is an affordable and accessible form of high-throughput sequencing (HTS) technology.
View Article and Find Full Text PDFSensors (Basel)
July 2025
Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka 72341, Saudi Arabia.
Modulation identification plays a crucial role in contemporary wireless communication systems, especially within 5G and future-generation networks that utilize a variety of multicarrier waveforms. This study introduces an innovative algorithm for automatic modulation classification (AMC) built on a deep residual network (DRN) architecture. The approach is tailored to accurately identify advanced 5G waveform types such as Orthogonal Frequency-Division Multiplexing (OFDM), Filtered OFDM (FOFDM), Filter Bank Multicarrier (FBMC), Universal Filtered Multicarrier (UFMC), and Weighted Overlap and Add OFDM (WOLA), using both 16-QAM and 64-QAM modulation schemes.
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