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BY-NC-ND 4.0 license Open Access Published by De Gruyter September 22, 2018

Histological Image Processing for the Assessment of Tissue Engineered Cartilage

  • Michael Munz EMAIL logo , Fabian Och , Ulla Wenzel , Martin Hessling , Katja Hasch , Eva Goldberg-Bockhorn and Nicole Rotter


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.

Published Online: 2018-09-22
Published in Print: 2018-09-01

© 2018 the author(s), published by Walter de Gruyter Berlin/Boston

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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