Real-time large-area imaging of the corneal subbasal nerve plexus

Area of Science:

• Ophthalmology
• Neuroscience
• Medical Imaging

Background:

• Corneal subbasal nerve plexus (SNP) morphometrics are crucial biomarkers for ocular and systemic diseases.
• Automated wide-field montages overcome imaging field-of-view limitations.
• Current methods lack real-time mosaic quality assessment during examinations.

Purpose of the Study:

• To develop a real-time mosaic image creation and visualization system for corneal SNP analysis.
• To enable immediate evaluation of acquired image data quality during confocal microscopy examinations.
• To facilitate immediate repeat examinations if data quality is insufficient.

Main Methods:

• Development of a novel real-time online mosaicking algorithm for SNP imaging.
• Integration of real-time visualization of mosaic image quality during the examination.
• Implementation of immediate feedback for quality control and potential re-acquisition.

Main Results:

• The developed system provides real-time mosaic image generation and quality assessment.
• Clinicians can evaluate image quality immediately, enabling timely corrective actions.
• The system facilitates identification of overlapping regions for longitudinal follow-up studies.

Conclusions:

• Real-time online mosaicking enhances the reliability and efficiency of corneal SNP morphometric analysis.
• This approach improves diagnostic potential by ensuring high-quality data acquisition.
• The technology is particularly beneficial for follow-up examinations and longitudinal studies.