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Article

Image-Based Histological Evaluation of Scaffold-Free 3D Osteoblast Cultures

1
Department of Orthopaedics and Sportsorthopaedics, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Strasse 22, 81675 Munich, Germany
2
Chair of Non-Destructive Testing, Centre for Building Materials, Technical University of Munich, Baumbachstrasse 7, 81245 Munich, Germany
3
Institute of Health and Biomedical Innovation, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove 4059, Australia
*
Author to whom correspondence should be addressed.
J. Funct. Morphol. Kinesiol. 2017, 2(4), 42; https://doi.org/10.3390/jfmk2040042
Received: 31 October 2017 / Revised: 20 November 2017 / Accepted: 20 November 2017 / Published: 24 November 2017
The analysis of tissue network characteristics and cell distribution using histological methods is widely used. However, image analysis still relies on manual evaluation methods, known as semi-quantitative analysis, which are time-consuming and to a certain degree user-specific. For this reason, automated imaging processing methods have an enormous potential to increase sample processing and reduce the variation that is caused by a user-specific evaluation. This work demonstrates the feasibility of using a semi-automated image analysis process based on the open source software framework ImageJ and the plug-in Angiogenesis Analyzer to evaluate the quantitative degree of tissue damage within 3D cell constructs after mechanical loading. Within a proof-of-concept study, the semi-automated approach was applied to calculate the Node-to-Free Ratio (N/F-Ratio) and perform a strut analysis for histological evaluation of mechanically compressed samples of human osteoblast-derived 3D constructs. The N/F-Ratio revealed a median value of 1.29 for the control, whereas the values for the mechanically compressed samples decreased to 0.97 for 20% compression, 0.85 for 40%, and 0.86 for 60%. The strut analysis indicated a decrease of the connected branches with increasing compression rate. The newly developed and time-saving processing workflow was successfully established and can be carried out using available, open source software solutions. View Full-Text
Keywords: bone tissue engineering; 3D cell culture; histomorphometry; open-source software; image-based analysis; ImageJ bone tissue engineering; 3D cell culture; histomorphometry; open-source software; image-based analysis; ImageJ
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MDPI and ACS Style

Eggert, S.; Tuebel, J.; Foehr, P.; Kuntz, L.; Obermeier, A.; Marthen, C.; Grosse, C.U.; Burgkart, R. Image-Based Histological Evaluation of Scaffold-Free 3D Osteoblast Cultures. J. Funct. Morphol. Kinesiol. 2017, 2, 42. https://doi.org/10.3390/jfmk2040042

AMA Style

Eggert S, Tuebel J, Foehr P, Kuntz L, Obermeier A, Marthen C, Grosse CU, Burgkart R. Image-Based Histological Evaluation of Scaffold-Free 3D Osteoblast Cultures. Journal of Functional Morphology and Kinesiology. 2017; 2(4):42. https://doi.org/10.3390/jfmk2040042

Chicago/Turabian Style

Eggert, Sebastian, Jutta Tuebel, Peter Foehr, Lara Kuntz, Andreas Obermeier, Carmen Marthen, Christian U. Grosse, and Rainer Burgkart. 2017. "Image-Based Histological Evaluation of Scaffold-Free 3D Osteoblast Cultures" Journal of Functional Morphology and Kinesiology 2, no. 4: 42. https://doi.org/10.3390/jfmk2040042

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