ANTERIOR SEGMENT

HRT3 RCM

In vivo cellular imaging

Confocal scanning laser microscopy serves as unique technology to produce high-resolution in vivo images of the cornea and external ocular structures. Corneal microscopes – such as the HRT3 RCM* – make use of this technology, scanning the cornea with a field of view up to 400 x 400 μm. This allows for the documentation of corneal morphology at the cellular level and to identify keratocytes subpopulations. The in vivo assessment of corneal structures can aid in the diagnosis and monitoring of abnormalities, pre- and post-surgery evaluation and in the assessment of dry eye disease.

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*Not available in all countries

 

High-resolution imaging of nerves and dendritic cells

Confocal scanning laser microscopy also serves as a valuable tool to visualize and document the corneal subbasal nerve plexus. High-resolution imaging allows for the investigation and analysis of the fine details of the nerves, which opens a new focus to study nerve structures in diabetic patients as well as patients that are subject to nerve fiber loss resulting from other diseases such as cognitive impairment and dementia.

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ANTERION

Deep anterior segment OCT imaging

High-quality anterior segment OCT imaging allows for the visualization and assessment of the entire anterior chamber and lens. Combining longer wavelength swept-source OCT with eye tracking and image averaging (as on ANTERION*) provides rapid and repeatable high-resolution imaging of deep structures such as the ciliary muscle and the lens. This imaging approach may yield insights into muscle contraction and the dynamics of accommodation.

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*Not available in all countries

 

Epithelial thickness evaluation with high-resolution AS-OCT

Evaluating epithelial thickness with a high-resolution anterior segment OCT provides the advantages of a non-contact method and simultaneous calculation of multiple corneal parameters. Thickness maps of the corneal epithelium and residual stroma may provide further insights for refractive surgery planning and treatment control, ectasia screening, and ocular surface disease.

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Innovations in ectasia screening and monitoring

The early detection of ectatic change in the cornea can have significant impact on treatment planning and outcomes. The Screening Corneal Objective Risk of Ectasia (SCORE) Analyzer, developed by Dr. Gatinel and Dr. Saad (Paris, France), is an algorithm designed to support clinical decision-making. SCORE uses 12 discriminant indices to classify corneas according to the degree of similarity with those that are likely to progress to ectasia. The measurements are combined in a linear discriminant function, and all relevant metrics are multiplied by a coefficient to discriminate forme fruste keratoconus from normal corneas with a high level of sensitivity and specificity. SCORE is optimized for cornea data acquired with high-resolution swept-source OCT (ANTERION*) and aims to provide a modern method for screening and monitoring of keratoconus and other ectatic diseases.

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*Not available in all countries

 

Cells in the anterior chamberAssessment of Anterior Chamber Inflammation with high-resolution Swept-Source AS-OCT

Anterior segment optical coherence tomography (AS-OCT) offers valuable insights into the quantification of anterior chamber inflammation in conditions such as uveitis and iritis. By providing high-resolution cross-sectional images of the anterior segment structures, AS-OCT enables precise measurement of parameters such as anterior chamber cell grading, corneal thickness, and flare intensity. This non-invasive imaging modality allows for objective evaluation of inflammation severity, guiding treatment decisions and monitoring disease progression. AS-OCT’s ability to visualize subtle changes in anterior segment morphology enhances diagnostic accuracy and facilitates timely intervention, ultimately improving patient outcomes in the management of anterior chamber inflammation.

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single eye biometry viewKeratometry Measurements and Dry Eye Disease

The current state of research concerning dry eye disease (DED) and its impact on the variability of keratometry measurements, and consequently, intraocular lens (IOL) power, presents conflicting findings. This highlights the need to further explore the influence of DED on ocular biometric measurements crucial for calculating IOL power.

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Metrics ss amd araArtificial Intelligence in Angle Closure Disease

Growing evidence supports the clinical usefulness of anterior segment optical coherence tomography (AS-OCT) for assessing anterior segment biometrics, particularly scleral spur-based measurements. Quantitative AS-OCT methods could complement gonioscopy, the current standard for assessing the anterior chamber angle (ACA), which is subjective and variably reproducible. The expertise-dependent and time-consuming process of manual marking of scleral spurs however hinders widespread AS-OCT implementation in routine clinical practice. Leveraging deep learning algorithms (as on ANTERION*) enables accurate scleral spur detection and biometric analysis, offering a solution to these challenges and facilitating broader implementation of AS-OCT.

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Please note: If not indicated differently, the technologies mentioned are not for sale and are not a reflection of our commercial product releases or planned product developments.