Non-contact direct selective laser trabeculoplasty: light propagation analysis.

Biomed Opt Express

BELKIN Laser, Ltd., 13 Gan Raveh, POB 13254, Yavne 8122214, Israel.

Published: June 2020

Selective laser trabeculoplasty (SLT), used to treat glaucoma and ocular hypertension, requires the use of a gonioscope placed on the cornea to visualize and irradiate the trabecular meshwork (TM). Alternatively, non-contact direct SLT (DSLT) irradiates the TM through the overlying tissues. Here we analyze this innovative procedure using analytical modeling and Monte Carlo simulations to quantify the laser energy reaching the TM through the overlying tissues. Compared with energy launched from the laser, DSLT energy transmission to the TM is 2.8 times less than SLT, which verifies the efficacy of non-contact DSLT given the lowest reported effective SLT energies.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7316017PMC
http://dx.doi.org/10.1364/BOE.390849DOI Listing

Publication Analysis

Top Keywords

non-contact direct
8
selective laser
8
laser trabeculoplasty
8
overlying tissues
8
direct selective
4
laser
4
trabeculoplasty light
4
light propagation
4
propagation analysis
4
analysis selective
4

Similar Publications

Purpose: Primarily, to evaluate the repeatability and reproducibility of the new non-contact esthesiometer (NCE) in healthy subjects. Secondarily, the corneal sensitivity threshold measurements of the NCE were compared with those of the Cochet-Bonnet esthesiometer (CBE).

Design: Assessment reliability study.

View Article and Find Full Text PDF

This dataset presents the indoor air temperature collections using the novel technique of Acoustic travel time TOMography (ATOM) in the ultrasonic frequency range. The presented measuring system employs early reflections as sound propagation paths in addition to the travel time of the direct path, effectively combining room acoustics with tomography techniques. The data was collected across various measurement scenarios within the climate chamber laboratory at the Building Physics Department at the Bauhaus-University Weimar.

View Article and Find Full Text PDF

Non-contact exposure to dinotefuran disrupts honey bee homing by altering MagR and Cry2 gene expression.

J Hazard Mater

November 2024

Guangxi key laboratory of Agric-Environment and Agric-products Safety, Guangxi University, Nanning, Guangxi 530004, China. Electronic address:

Article Synopsis
  • Dinotefuran negatively impacts honeybee behavior, particularly their homing abilities, but the exact mechanisms are not fully understood.
  • The study discovered that even without direct contact, dinotefuran can significantly alter the expression of MagR (a magnetoreceptor) in honeybees, leading to a reduced homing rate.
  • The interaction between the MagR and Cry2 genes is crucial, as light is necessary for MagR to respond to magnetic fields, and reducing the expression of these genes further impairs the bees' navigation capabilities.
View Article and Find Full Text PDF

Biomechanical predictors of primary ACL injury: A scoping review of prospective studies.

Gait Posture

February 2025

University of Southern California, Division of Biokinesiology & Physical Therapy, Los Angeles, CA, USA. Electronic address:

Background: ACL injuries commonly occur in non-contact situations, particularly in sports involving jumping, landing, and cutting. Numerous biomechanical predictors for non-contact ACL injury have been proposed, yet existing reviews on biomechanical predictors vary in scope and findings.

Research Question: This review aims to identify biomechanical predictors of primary ACL injury using a scoping review.

View Article and Find Full Text PDF

Non-Contact Cross-Person Activity Recognition by Deep Metric Ensemble Learning.

Bioengineering (Basel)

November 2024

School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210003, China.

In elderly monitoring or indoor intrusion detection, the recognition of human activity is a key task. Owing to several strengths of Wi-Fi-based devices, including their non-contact and privacy protection, these devices have been widely applied in the area of smart homes. By the deep learning technique, numerous Wi-Fi-based activity recognition methods can realize satisfied recognitions, however, these methods may fail to recognize the activities of an unknown person without the learning process.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!