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dc.contributor.authorMedeiros Savi, Flavia
dc.contributor.authorLawrence, Felicity
dc.contributor.authorHutmacher, Dietmar Werner
dc.contributor.authorWoodruff, Mia
dc.contributor.authorBray, Laura Jane
dc.contributor.authorWille, Marie-Luise
dc.date.accessioned2019-11-11T06:14:33Z
dc.date.available2019-11-11T06:14:33Z
dc.date.issued2019
dc.identifier.issn1937-3384
dc.identifier.doi10.1089/ten.TEC.2019.0179
dc.identifier.urihttp://hdl.handle.net/10072/389042
dc.description.abstractMost histological evaluations of critical-sized bone defects are limited to the analysis of a few regions of interest at a time. Manual and semi-automated histomorphometric approaches often have intra- and inter-observer subjectivity, as well as variability in image analysis methods. Moreover, the production of large image data sets makes histological assessment and histomorphometric analysis labour intensive and time-consuming. Herein, we tested and compared two image segmentation methods: thresholding (automated) and region-based (manual) modes, for quantifying complete image sets across entire critical-sized bone defects, using the widely used Osteomeasure system and the freely downloadable Aperio Image Scope software. A comparison of bone histomorphometric data showed strong agreement between the automated segmentation mode of the Osteomeasure software with the manual segmentation mode of Aperio Image Scope analysis (bone formation R2 = 0.9615 and fibrous tissue formation R2 = 0.8734). These results indicate that Aperio is capable of handling large histological images, with excellent speed performance in producing highly consistent histomorphometric evaluations compared to the Osteomeasure image analysis system. The statistical evaluation of these two major bone parameters demonstrated that Aperio Image Scope is as capable as Osteomeasure. This study developed a protocol to improve the quality of results and reduce analysis time, while also promoting the standardization of image analysis protocols for the histomorphometric analysis of critical-sized bone defect samples.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherMary Ann Liebert
dc.publisher.placeUnited States
dc.relation.ispartofjournalTissue Engineering Part C: Methods
dc.subject.fieldofresearchBiomedical Engineering
dc.subject.fieldofresearchBiochemistry and Cell Biology
dc.subject.fieldofresearchcode0903
dc.subject.fieldofresearchcode0601
dc.titleHistomorphometric analysis of critical-sized bone defects using Osteomeasure and Aperio systems
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationMedeiros Savi, F; Lawrence, F; Hutmacher, DW; Woodruff, M; Bray, LJ; Wille, M-L, Histomorphometric analysis of critical-sized bone defects using Osteomeasure and Aperio systems, Tissue Engineering Part C: Methods, 2019
dc.date.updated2019-11-11T01:02:16Z
dc.description.versionAccepted Manuscript (AM)
gro.rights.copyrightThis is a copy of an article published in the Tissue Engineering, Part C: Methods. © 2019 Mary Ann Liebert, Inc. Tissue Engineering, Part C: Methods is available online at: http://www.liebertonline.com.
gro.hasfulltextFull Text
gro.griffith.authorHutmacher, Dietmar W.


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