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Absolute distance measurement with laser interferometry has the advantages of high precision and traceability to the definition of meter but its accuracy is primarily limited by the phase demodulation. Among kinds of absolute distance interferometric measurements, the multi-wavelength interferometry is widely used but seriously limited by the generation of suitable synthetic wavelength and the stability of adopted synthetic wavelength. Inspired by the mechanical lever, we hereby establish a principle of laser interferometric wavelength leverage (LIWL) for absolute distance measurement. By keeping the phase difference in two single wavelengths constant, LIWL achieves the measurement of large distance with respect to synthetic wavelengths by detecting nanometer displacement with respect to a single wavelength. The merit of LIWL is eliminating the influence of phase demodulation error. And a dynamic-sideband locking method based on a high-frequency electro-optic modulator is proposed, which can flexibly and quickly generate variable synthetic wavelengths from tens of kilometer to millimeter with high stability. Experimental setup was constructed and absolute distance measurements were performed. Experimental results show that a measurement range of 100 m with residual error of less than 15 µm has been achieved by comparing the LIWL system and an incremental laser interferometer.
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http://dx.doi.org/10.1364/OE.418798 | DOI Listing |
Int J Comput Assist Radiol Surg
September 2025
Division of Plastic and Reconstructive Surgery, Neonatal and Pediatric Craniofacial Airway Orthodontics, Department of Surgery, Stanford University School of Medicine, 770 Welch Road, Palo Alto, CA, 94394, USA.
Background: Alveolar molding plate treatment (AMPT) plays a critical role in preparing neonates with cleft lip and palate (CLP) for the first reconstruction surgery (cleft lip repair). However, determining the number of adjustments to AMPT in near-normalizing cleft deformity prior to surgery is a challenging task, often affecting the treatment duration. This study explores the use of machine learning in predicting treatment duration based on three-dimensional (3D) assessments of the pre-treatment maxillary cleft deformity as part of individualized treatment planning.
View Article and Find Full Text PDFJ Cardiovasc Magn Reson
September 2025
Department of Cardiology, Boston Children's Hospital, Boston, Massachusetts; Department of Pediatrics, Harvard Medical School, Boston, Massachusetts.
Introduction: Mitral annular disjunction (MAD) is a pathologic fibrous separation of the mitral valve hinge point from the ventricular myocardium. The aims of this study were to describe the range of MAD distance by cardiac magnetic resonance (CMR) in children and young adults with connective tissue disorders (CTDs) versus a healthy control sample, and to assess the MAD distance as a predictor of adverse cardiovascular outcomes.
Methods: This was a retrospective, single-center study of healthy subjects and patients with Marfan syndrome, Loeys-Dietz syndrome, Ehlers-Danlos syndrome, or nonspecific CTD who underwent CMR between 01/01/2000 and 01/01/2020.
Ophthalmol Sci
July 2025
Illinois Eye and Ear Infirmary, Department of Ophthalmology, University of Illinois at Chicago, Chicago, Illinois.
Purpose: To validate a custom FIJI (ImageJ) program for more reproducible, faster curvilinear periorbital measurements, as compared with 2 custom artificial intelligence-based tools.
Design: Combined technical validation and method comparison study.
Subjects: Front-facing photographs of 45 cleft palate syndromic patients.
Ophthalmol Sci
July 2025
Cole Eye Institute, Cleveland Clinic, Cleveland, Ohio.
Purpose: To determine the proximity between the thinnest corneal point (TCP) and focal corneal weakening in normal, subclinical keratoconus (SKC), and manifest keratoconus (KC) eyes using motion-tracking Brillouin microscopy.
Design: Prospective cross-sectional study.
Participants: Ninety-five eyes from 95 patients were evaluated: 40 from bilaterally normal patients (controls), 40 from patients with SKC, and 15 from patients with manifest KC.
Poult Sci
August 2025
Department of Agricultural Education, Faculty of Industrial Education and Technology, King Mongkut's Institute of Technology Ladkrabang, Bangkok 10520, Thailand. Electronic address:
Bruising chicken broiler is caused by physical stress and injury to the skin and underlying tissues is a major problem in poultry production, affecting both animal welfare and economic outcomes. The aim of this study was to classify the bruising class (low or high percentage of carcass showing bruise at slaughterhouse) per truckload comparing the predictive performance of six machine learning (ML) models- Least Absolute Shrinkage and Selection Operator (LASSO), Classification Tree (CT), Random Forest (RF), Naïve Bayes (NB), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGB)- and using a data set including information about season, time of transport, sex of the flock, flock size, chicken age, chicken mean body weight, housing stocking density, on farm mortality and culling rate, and feed withdrawal time. The general objective was to offer tools for the early detection of flocks with a higher likelihood of bruising and to highlight how ML can support decision-making, strengthen welfare monitoring programs, and reduce economic losses in commercial broiler production.
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