A snapshot 3-Dimensional Optical Coherence Tomography system was developed using Image Mapping Spectrometry. This system can give depth information (Z) at different spatial positions (XY) within one camera integration time to potentially reduce motion artifact and enhance throughput. The current (x,y,λ) datacube of (85×356×117) provides a 3D visualization of sample with 400 μm depth and 13.4 μm in transverse resolution. Axial resolution of 16.0 μm can also be achieved in this proof-of-concept system. We present an analysis of the theoretical constraints which will guide development of future systems with increased imaging depth and improved axial and lateral resolutions.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3686468 | PMC |
| http://dx.doi.org/10.1364/OE.21.013758 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
FFR-Negative Nonculprit High-Risk Plaques and Clinical Outcomes in High-Risk Populations: An Individual Patient-Data Pooled Analysis From COMBINE (OCT-FFR) and PECTUS-obs.
Circ Cardiovasc Interv
January 2025
Department of Cardiology, Radboud University Medical Center, Nijmegen, the Netherlands (R.H.J.A.V., J.-Q.M., N.v.R.).
Background: Despite fractional flow reserve (FFR)-guided deferral of revascularization, recurrent events in patients with diabetes or after myocardial infarction remain common. This study aimed to assess the association between FFR-negative but high-risk nonculprit lesions and clinical outcomes.
Methods: This is a patient-level pooled analysis of the prospective natural-history COMBINE (OCT-FFR) study (Optical Coherence Tomography Morphologic and Fractional Flow Reserve Assessment in Diabetes Mellitus Patients) and PECTUS-obs study (Identification of Risk Factors for Acute Coronary Events by OCT After STEMI and NSTEMI Patients With Residual Non- Flow Limiting Lesions).
Optical coherence tomography-enabled classification of the human venoatrial junction.
J Biomed Opt
January 2025
Columbia University, Department of Electrical Engineering, New York, United States.
Significance: Radiofrequency ablation to treat atrial fibrillation (AF) involves isolating the pulmonary vein from the left atria to prevent AF from occurring. However, creating ablation lesions within the pulmonary veins can cause adverse complications.
Aim: We propose automated classification algorithms to classify optical coherence tomography (OCT) volumes of human venoatrial junctions.
Femtosecond laser-assisted large-diameter lamellar corneal-limbal keratoplasty in ocular chemical burns.
Am J Ophthalmol Case Rep
March 2025
State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Guangzhou, China.
Purpose: This study highlights the feasibility of femtosecond laser-assisted large-diameter lamellar corneal-limbal keratoplasty and its efficacy in the treatment of ocular surface failure caused by bilateral ocular chemical injury.
Observations: The series included 3 patients with ocular surface failure caused by bilateral ocular chemical burns. After dissection of the host cornea, a femtosecond laser-assisted large-diameter lamellar corneoscleral button, with varying thickness of 250-400 μm, was sutured to the recipient bed.
Advanced UltraTech approach for distinguishing granulomatous from non-granulomatous corneal endothelial exudates in autoimmune rheumatic anterior uveitis.
J Biol Methods
November 2024
Department of Medicine and Surgery, University of Enna Kore, Enna 94100, Italy.
Background: Anterior uveitis is a common manifestation in individuals with rheumatic conditions such as spondylarthritis, Behçet's syndrome, juvenile idiopathic arthritis, and sarcoidosis. Clinical differentiation between granulomatous and non-granulomatous corneal endothelial exudates is crucial to subsequent diagnosis and treatment. Anterior segment optical coherence tomography (AS-OCT) can ensure an accurate differential diagnosis and appropriate follow-up after local and systemic therapy.
View Article and Find Full Text PDFBibliometric analysis of research on the application of deep learning to ophthalmology.
Quant Imaging Med Surg
January 2025
Department of Ophthalmology, the Fourth Affiliated Hospital of China Medical University, Shenyang, China.
Background: Recently, deep learning has become a popular area of research, and has revolutionized the diagnosis and prediction of ocular diseases, especially fundus diseases. This study aimed to conduct a bibliometric analysis of deep learning in the field of ophthalmology to describe international research trends and examine the current research directions.
Methods: This cross-sectional bibliometric analysis examined the development of research on deep learning in the field of ophthalmology and its sub-topics from 2015 to 2024.
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!