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Ex vivo fluorescent confocal microscopy images of oral mucosa: Tissue atlas and evaluation of the learning curve
- Source :
- Journal of Biophotonics. 15
- Publication Year :
- 2021
- Publisher :
- Wiley, 2021.
-
Abstract
- Ex vivo fluorescence confocal microscopy (FCM) is a developing tool providing rapid digital imaging of fresh tissue utilizing high-resolution optical sectioning that highly corresponds with conventional hmatoxylin and eosin (HE)-stained slides. A very little data on oral mucosa lesions exist currently. The present work aimed to create an image atlas of benign and malignant oral tissues and compare them to the corresponding histopathology. Furthermore, we aimed to evaluate the learning curve for confocal image interpretation. From 50 samples obtained from the oral mucosa, including oral squamous cell carcinoma (OSCC), dysplasia, and healthy oral tissue, ex vivo FCM images and corresponding HE slides were created and collected into a tissue atlas. Additionally, two experts were asked to analyze the images to assess the learning curve. Ex vivo FCM images revealed high comparability with histopathological images. Tissues including OSCC, dysplasia, and normal oral mucosa were implemented in the image atlas to provide the diagnostic fundament for pathologists and surgeons; the learning curve was short. Future studies on this topic will be advantageous for the development of artificial intelligence-based diagnostic approaches. The current work provides a novel set of data that are structured as an atlas of common pathologies of the mucosa to enhance the existing knowledge and material on confocal images.
- Subjects :
- Optical sectioning
Computer science
Confocal
General Physics and Astronomy
General Biochemistry, Genetics and Molecular Biology
law.invention
chemistry.chemical_compound
Artificial Intelligence
Confocal microscopy
law
Fresh Tissue
Humans
General Materials Science
Microscopy, Confocal
Eosin
Mouth Mucosa
General Engineering
Digital imaging
Digital pathology
General Chemistry
chemistry
Carcinoma, Squamous Cell
Mouth Neoplasms
Learning Curve
Ex vivo
Biomedical engineering
Subjects
Details
- ISSN :
- 18640648 and 1864063X
- Volume :
- 15
- Database :
- OpenAIRE
- Journal :
- Journal of Biophotonics
- Accession number :
- edsair.doi.dedup.....4d356e61fab02828be1e5cedea41e1ce