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Fuzzy tissue detection for real-time focal control in corneal confocal microscopy
- Source :
- Automatisierungstechnik; October 2019, Vol. 67 Issue: 10 p879-888, 10p
- Publication Year :
- 2019
-
Abstract
- Corneal confocal laser scanning microscopy is a promising method for in vivoinvestigation of cellular structures, e. g., of nerve fibers in the sub-basal nerve plexus. During recording, even slight displacements of the focal plane lead to images of adjacent tissue layers. In this work, we propose a closed-loop control of the focal plane. To detect and evaluate the visible tissues, we utilize the Bag of Visual Words approach to implement a customizable image processing pipeline for real-time applications. Furthermore, we show that the proposed model can be trained with small classification datasets and can be applied as a segmentation method. The proposed control loop, including tissue detection, is implemented in a proof-of-concept setup and shows promising results in a first evaluation with a human subject.
Details
- Language :
- English
- ISSN :
- 01782312 and 2196677X
- Volume :
- 67
- Issue :
- 10
- Database :
- Supplemental Index
- Journal :
- Automatisierungstechnik
- Publication Type :
- Periodical
- Accession number :
- ejs51060997
- Full Text :
- https://doi.org/10.1515/auto-2019-0034