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Dove prisms suffer from angle and shift errors due to inevitable errors in manufacturing and installation, limiting their applicability in tasks requiring high-precision scanning. These errors, particularly angle errors, can significantly deform and ruin the intended scanning trajectory. Here, we propose a method for compensating the angle errors in Dove prisms using galvanometers. The method first determines the angle error by analyzing the distorted scanning trajectory. Subsequently, by synchronizing the galvanometers with the Dove prism rotation, the galvanometers dynamically correct the angle error at each rotation angle. This approach eliminates the need for complex mechanical adjustment mechanisms and offers a convenient calibration process. Our experiments demonstrate that the angle error can be adjusted to be below 17 µrad under the described conditions. By enabling high-precision scanning, this method has the potential to broaden the application scenarios of Dove prisms in various fields.
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http://dx.doi.org/10.1364/OL.528644 | DOI Listing |
Ophthalmol Glaucoma
September 2025
Glaucoma Center of Excellence, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address:
Purpose: To assess the clinical outcomes of Hydrus Microstent implantation with cataract extraction for the treatment of open angle glaucoma (OAG) over a maximum of 4 years.
Design: Retrospective, single-center, single-arm, longitudinal cohort study.
Subjects: 308 patients (464 eyes) with OAG who underwent Hydrus Microstent implantation with cataract extraction between February 2019 and December 2021, followed for a median (interquartile range, IQR) of 2.
Eur Spine J
September 2025
Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Purpose: This study aims to address the limitations of radiographic imaging and single-task learning models in adolescent idiopathic scoliosis assessment by developing a noninvasive, radiation-free diagnostic framework.
Methods: A multi-task deep learning model was trained using structured back surface data acquired via fringe projection three-dimensional imaging. The model was designed to simultaneously predict the Cobb angle, curve type (thoracic, lumbar, mixed, none), and curve direction (left, right, none) by learning shared morphological features.
Objective: To evaluate the feasibility and accuracy of customized 3-D-printed casts, created using virtual surgical planning, to guide wire placement for external skeletal fixation in the canine radius.
Methods: This experimental cadaver study used normal forelimbs from medium-sized canine cadavers (19 to 23 kg). Computed tomography scans were performed to generate 3-D bone and soft tissue models.
Int Biomech
December 2025
School of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, UK.
This study evaluates the accuracy of single camera markerless motion capture (SCMoCap) using Microsoft's Azure Kinect, enhanced with inverse kinematics (IK) via OpenSim, for upper limb movement analysis. Twelve healthy adults performed ten upper-limb tasks, recorded simultaneously by OptiTrack (marker-based) and Azure Kinect (markerless) from frontal and sagittal views. Joint angles were calculated using two methods: (1) direct kinematics based on body coordinate frames and (2) inverse kinematics using OpenSim's IK tool with anatomical keypoints.
View Article and Find Full Text PDFJ Acoust Soc Am
September 2025
School of Ocean Engineering and Technology, Sun Yat-sen University, Zhuhai 519000, China.
This study establishes a quantitative framework using field observations and normal mode theory to reveal wind field control mechanisms over ambient noise vertical directionality in shallow water. Acoustic data from a vertical line array in the northern South China Sea, combined with sound speed profiles, seabed properties, and multi-source wind fields (ERA5 reanalysis/Weibull-distributed synthetics), demonstrate: (1) A 20-km spatial noise-energy threshold (>90% energy contribution), challenging conventional near-field assumptions (1-2 km); (2) frequency-dependent distribution: low-frequency (50-200 Hz) directionality depends on near-field sources, while high-frequency (>400 Hz) energy shifts seaward due to modal cutoff variations; (3) model validation shows 0.96 correlation at 100 Hz/100 km (stratified medium accuracy), but seabed interface waves induce 3.
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