Scientific Reports · 2022 · 16 citations · 24 references
Veterinary MedicineBiomedical EngineeringOphthalmologyBiomedical ImagingDiagnostic ImagingOcular AnatomyConfocal MicroscopyCorneal AnatomyCorneal ImagingImage Quality AssessmentMedical ImagingOphthalmic ImagingConfocal Fluorescence MicroscopyConfocal Microscopy AssessmentConfocal Microscopy VisualizationMorphometric AnalysisMorphometric CharactersMorphometric ParameterizationMosaic GenerationReal-time Imaging
The morphometric assessment of the corneal subbasal nerve plexus (SNP) by confocal microscopy holds great potential as a sensitive biomarker for various ocular and systemic conditions and diseases. Automated wide-field montages (or large-area mosaic images) of the SNP provide an opportunity to overcome the limited field of view of the available imaging systems without the need for manual, subjective image selection for morphometric characterization. However, current wide-field montaging solutions usually calculate the mosaic image after the examination session, without a reliable means for the clinician to predict or estimate the resulting mosaic image quality during the examination. This contribution describes a novel approach for a real-time creation and visualization of a mosaic image of the SNP that facilitates an informed evaluation of the quality of the acquired image data immediately at the time of recording. In cases of insufficient data quality, the examination can be aborted and repeated immediately, while the patient is still at the microscope. Online mosaicking also offers the chance to identify an overlap of the imaged tissue region with previous SNP mosaic images, which can be particularly advantageous for follow-up examinations.
24
Jose ́ M. Beni ́tez-del-Castillo, M. Carmen Acosta, M.A. Wassfi et al. · Investigative Ophthalmology & Visual Science · 2006 · 348 citations · Full text
Medicine, Dermatology, Ophthalmology +17
Optimal Image Sample Size for Corneal Nerve Morphometry
Dimitrios Vagenas, Nicola Pritchard, Katie Edwards et al. · Optometry and Vision Science · 2012 · 143 citations