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Current Directions in Biomedical Engineering

Joint Journal of the German Society for Biomedical Engineering in VDE and the Austrian and Swiss Societies for Biomedical Engineering

Editor-in-Chief: Dössel, Olaf

Editorial Board: Augat, Peter / Buzug, Thorsten M. / Haueisen, Jens / Jockenhoevel, Stefan / Knaup-Gregori, Petra / Kraft, Marc / Lenarz, Thomas / Leonhardt, Steffen / Malberg, Hagen / Penzel, Thomas / Plank, Gernot / Radermacher, Klaus M. / Schkommodau, Erik / Stieglitz, Thomas / Urban, Gerald A.


CiteScore 2018: 0.47

Source Normalized Impact per Paper (SNIP) 2018: 0.377

Open Access
Online
ISSN
2364-5504
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Histological Image Processing for the Assessment of Tissue Engineered Cartilage

Michael Munz
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  • Institute of Medical Engineering and Mechatronics, Ulm University of Applied Sciences, Albert-Einstein-Allee 55, Ulm, Germany
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/ Fabian Och
  • Institute of Medical Engineering and Mechatronics, Ulm University of Applied Sciences, Ulm, Germany
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/ Ulla Wenzel
  • Institute of Medical Engineering and Mechatronics, Ulm University of Applied Sciences, Ulm, Germany
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/ Martin Hessling
  • Institute of Medical Engineering and Mechatronics, Ulm University of Applied Sciences, Ulm, Germany
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/ Katja Hasch
  • Department of Otorhinolaryngology, Head and Neck Surgery, Ulm University Medical Center, Ulm, Germany
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/ Eva Goldberg-Bockhorn
  • Department of Otorhinolaryngology, Head and Neck Surgery, Ulm University Medical Center, Ulm, Germany
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/ Nicole Rotter
Published Online: 2018-09-22 | DOI: https://doi.org/10.1515/cdbme-2018-0110

Abstract

In a recently developed perfusion bioreactor, human nasal septum chondrocytes were seeded on decellularized porcine collagen scaffolds and cultivated for 6 weeks. Afterwards, the samples were stained with alcian blue and multiple histological microscope images were taken to assess the migration of the human cells and their redifferentiation. In this paper, we propose an image processing algorithm to objectively quantify the cultivation results. This algorithm performs a white balance, detects cell nuclei and their migration depth, and detects lacunae and their orientation. To evaluate performance, sensitivity and precision are calculated using manually labeled data over 50 images. The detection of cell nuclei has a reasonable precision (73%), but the level of sensitivity (42%) should be further improved. The proposed method demonstrates acceptable level of precision (83%) and sensitivity (86%) for the detection of lacunae.

Keywords: image analysis; histological images; cartilage; scaffold; bioreactor; evaluation

About the article

Published Online: 2018-09-22

Published in Print: 2018-09-01


Citation Information: Current Directions in Biomedical Engineering, Volume 4, Issue 1, Pages 461–464, ISSN (Online) 2364-5504, DOI: https://doi.org/10.1515/cdbme-2018-0110.

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