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A Fresnel mirror is introduced at a hollow-core photonic bandgap fiber end by fusion splicing a short single-mode fiber segment, to reflect the light backward to an optical frequency domain reflectometry. The backward Fresnel reflection is used as a probe light to achieve light speed measurement with a high resolution and a high signal-to-noise ratio. Thus, its group velocity is obtained with the round-trip time delay as well as the beat frequency at the reflection peak. Multiple Fresnel peaks are observed from 2180.00 Hz to 13,988.75 Hz, corresponding to fusion-spliced hollow-core fiber segments with different lengths from 0.2595 m to 1.6678 m, respectively. The speed of light in the air guidance is calculated at 2.9753 × 10 m/s, approaching that in vacuum, which is also in good agreement with 2.9672 × 10 m/s given by the numerical analysis with an uncertainty of 10. Our demonstration promises a key to hollow-core waveguide characterization for future wide-bandwidth and low-latency optical communication.
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http://dx.doi.org/10.3390/s24216954 | DOI Listing |
Front Plant Sci
September 2025
College of Big Data, Yunnan Agricultural University, Kunming, China.
Introduction: Accurate identification of cherry maturity and precise detection of harvestable cherry contours are essential for the development of cherry-picking robots. However, occlusion, lighting variation, and blurriness in natural orchard environments present significant challenges for real-time semantic segmentation.
Methods: To address these issues, we propose a machine vision approach based on the PIDNet real-time semantic segmentation framework.
ACS Nano
September 2025
School of Microelectronics, University of Science and Technology of China, Hefei, Anhui 230026, China.
Superlinear photodetectors hold significant potential in intelligent optical detection systems, such as near-field imaging. However, their current realization imposes stringent requirements on photosensitive materials, thereby limiting the flexibility of the device integration for practical applications. Herein, a tunable superlinear GaO deep-ultraviolet gate-all-around (GAA) phototransistor based on a p-n heterojunction has been proposed.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Department of Evolutionary Ecology, Leibniz Institute for Zoo and Wildlife Research, Berlin 10315, Germany.
Animals can improve their decision-making abilities by integrating information from multiple senses, which is especially beneficial when living in fluctuating environments. However, understanding how wild predators may use multimodal sensing when hunting prey in split-second interactions remains largely unexplored. As nocturnal hunters, bats rely on echolocation to navigate and to locate evasive prey, yet they have retained functional vision, despite the associated costs.
View Article and Find Full Text PDFPLoS One
September 2025
School of Computer Science, Georgia Institute of Technology, Atlanta, Georgia, United States of America.
Background: When analyzing cells in culture, assessing cell morphology (shape), confluency (density), and growth patterns are necessary for understanding cell health. These parameters are generally obtained by a skilled biologist inspecting light microscope images, but this can become very laborious for high-throughput applications. One way to speed up this process is by automating cell segmentation.
View Article and Find Full Text PDFPLoS One
September 2025
School of Computer Science and Engineering, Southeast University, China.
Metaheuristic optimization algorithms often face challenges such as complex modeling, limited adaptability, and a tendency to get trapped in local optima when solving complex optimization problems. To enhance algorithm performance, this paper proposes an enhanced Secretary Bird Optimization Algorithm (MESBOA) based on a precise elimination mechanism and boundary control. The algorithm integrates three key strategies: a precise population elimination strategy, which optimizes the population structure by eliminating individuals with low fitness and intelligently generating new ones; a lens imaging-based opposition learning strategy, which expands the exploration of the solution space through reflection and scaling to reduce the risk of local optima; and a boundary control strategy based on the best individual, which effectively constrains the search range to avoid inefficient searches and premature convergence.
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