In:
at - Automatisierungstechnik, Walter de Gruyter GmbH, Vol. 67, No. 10 ( 2019-10-25), p. 879-888
Abstract:
Corneal confocal laser scanning microscopy is a promising method for in vivo investigation 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.
Type of Medium:
Online Resource
ISSN:
2196-677X
,
0178-2312
DOI:
10.1515/auto-2019-0034
Language:
English
Publisher:
Walter de Gruyter GmbH
Publication Date:
2019
detail.hit.zdb_id:
629186-7
detail.hit.zdb_id:
2027287-X
SSG:
15,3
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