Histomorphometric analysis of biological systems

dc.contributor.advisorKhandaker, Morshed
dc.contributor.authorRao, Priyanka Gadam
dc.contributor.committeeMemberVaughan, Melville
dc.contributor.committeeMemberMattison, Scott
dc.date.accessioned2024-06-27T16:42:29Z
dc.date.available2024-06-27T16:42:29Z
dc.date.issued2020
dc.description.abstractHistomorphometric analysis is the histologic sectioning of normal and diseased samples, such as healing wounds and fractures, which is known to be widely used in research. However, over previous decades, certain techniques and analysis have not been recognized in a long time causing them to lack in solutions that they are looking for. In this study, we have developed a histomorphometric analysis technique for three different biological systems. These systems include skin, cartilage and bone tissue. Skin constitutes its tissue in the epidermis, cartilage represents tissue engineered intervertebral discs and titanium interfaces with bone cement. The first part of the study quantified the biological functions of the epidermis, dermis anchored with an invivo study of the graft model with electrospun nanofibers using Bartlett's test, Image J and one-way ANOVA test. The second part of the study involved a developed graft model that mimic the structure and function of the dermis by using Electrospun Nano fiber coating to depict collagen, polyethylene Glycol Diacrylate (PEGDA) and poly e-caprolactone (PCL) scaffolds which were cultured using rat dermal fibroblast cells. Also, we have conducted the output consisting of NP (nucleus pulposis), AF (annulus fibrosis) and its region of interest in order to measure the qualitative and quantitative results of the tail of a rat. The third part of the study concentrated on electro spun nanofiber coating techniques used to design Polyethylene Glycol Di-acrylate (PEGDA) tissue engineering scaffold for bone substitute. Mechanical and biological functions of titanium implant were successfully improved and were compared accordingly using Bone J and Matlab. The outcome of the study has been successful and for future research, quantification may help further evaluate tissue grafts, implants and find more parameters within a tissue.en_US
dc.identifier.oclc(OCoLC)1442793537
dc.identifier.other(AlmaMMSId)9983040312002196
dc.identifier.urihttps://hdl.handle.net/11244/340452
dc.rightsAll rights reserved by the author, who has granted UCO Chambers Library the non-exclusive right to share this material in its online repositories. Contact UCO Chambers Library's Digital Initiatives Working Group at diwg@uco.edu for the permission policy on the use, reproduction or distribution of this material.
dc.subject.keywordsBone tissue
dc.subject.keywordsHistomorphometric analysis
dc.subject.keywordsIntervertebral disc
dc.subject.keywordsSkin
dc.subject.keywordsBiomedical engineering
dc.subject.keywordsBiology
dc.subject.keywordsEngineering
dc.subject.lcshTissue engineering
dc.subject.lcshNanofibers
dc.subject.lcshTissues--Analysis
dc.subject.lcshHistology--Technique
dc.thesis.degreeM.S., Biomedical Engineering
dc.titleHistomorphometric analysis of biological systemsen_US
dc.typeAcademic theses
thesis.degree.grantorJackson College of Graduate Studies

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