Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/00006982-200312000-00020 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Bacillary layer detachment: Updates on its clinical and prognostic significance in retinal disease.
Surv Ophthalmol
January 2025
Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072 Pieve Emanuele-Milan, Italy; Department of Ophthalmology, Eye Unit Humanitas Gavazzeni-Castelli, via Mazzini 11, Bergamo, Italy.
Bacillary layer detachment (BALAD) refers to the distinctive splitting at the level of the photoreceptor inner segment myoid and accumulation of intraretinal fluid, as seen on optical coherence tomography (OCT).BALAD is an increasingly recognized OCT biomarker of numerous heterogeneous chorioretinal diseases, including posterior uveitis, age-related macular degeneration and macular neovascularization, neoplastic and paraneoplastic retinal disorders, rhegmatogenous retinal detachment, blunt ocular trauma, and miscellaneous conditions. The recognition of BALAD is clinically relevant because, based on the specific etiology, BALAD may require simple observation, ocular or systemic medical treatment, or even surgical intervention, with subsequent different prognosis.
View Article and Find Full Text PDFConvergent-beam attosecond x-ray crystallography.
Struct Dyn
January 2025
Center for Free-Electron Laser Science CFEL, Deutsches Elektronen-Synchrotron DESY, Notkestr. 85, 22607 Hamburg, Germany.
Sub-ångström spatial resolution of electron density coupled with sub-femtosecond to few-femtosecond temporal resolution is required to directly observe the dynamics of the electronic structure of a molecule after photoinitiation or some other ultrafast perturbation, such as by soft X-rays. Meeting this challenge, pushing the field of quantum crystallography to attosecond timescales, would bring insights into how the electronic and nuclear degrees of freedom couple, enable the study of quantum coherences involved in molecular dynamics, and ultimately enable these dynamics to be controlled. Here, we propose to reach this realm by employing convergent-beam x-ray crystallography with high-power attosecond pulses from a hard-x-ray free-electron laser.
View Article and Find Full Text PDFPrevalence of Idiopathic Macular Hole in a Specialized Ophthalmological Referral Center: A Retrospective Cross-Sectional Study (2018-2022).
Cureus
December 2024
Ophthalmology Department, University of Kansas School of Medicine, Kansas City, USA.
Background: An idiopathic macular hole (IMH) is a foveal opening in the neurosensory retina caused by perifoveal vitreomacular traction and detachment. IMH prevalence varies considerably across populations, highlighting a need for further investigation, especially in underrepresented groups such as Hispanics.
Methods: This retrospective, descriptive, cross-sectional study analyzed IMH prevalence in a Hispanic population over four years.
High dynamic range widefield fundus photography with transcranial illumination: a contrast agent-free method for non-mydriatic choroidal imaging.
Biomed Opt Express
January 2025
Department of Biomedical Engineering, University of Illinois Chicago, Chicago, IL 60607, USA.
The choroid, a critical vascular layer beneath the retina, is essential for maintaining retinal function and monitoring chorioretinal disorders. Existing imaging methods, such as indocyanine green angiography (ICGA) and optical coherence tomography (OCT), face significant limitations, including contrast agent requirements, restricted field of view (FOV), and high costs, limiting accessibility. To address these challenges, we developed a nonmydriatic, contrast agent-free fundus camera utilizing transcranial near-infrared (NIR) illumination.
View Article and Find Full Text PDFDynamics-aware deep predictive adaptive scanning optical coherence tomography.
Biomed Opt Express
January 2025
Department of Robotics, University of Michigan, USA.
Conventional scanned optical coherence tomography (OCT) suffers from the frame rate/resolution tradeoff, whereby increasing image resolution leads to decreases in the maximum achievable frame rate. To overcome this limitation, we propose two variants of machine learning (ML)-based adaptive scanning approaches: one using a ConvLSTM-based sequential prediction model and another leveraging a temporal attention unit (TAU)-based parallel prediction model for scene dynamics prediction. These models are integrated with a kinodynamic path planner based on the clustered traveling salesperson problem to create two versions of ML-based adaptive scanning pipelines.
View Article and Find Full Text PDFWant 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!