Year of participation in STAR: 2015
Abstract title: Osteonal Morphology, Distribution, & Drift in Porcine Femoral Midshaft
Abstract: Analysis of bone microstructure (i.e. primary and secondary osteons) in porcine femoral samples can be used to make statistical comparisons regarding bone quality. The objective of this novel study is to quantify the osteonal morphology, distribution, and drift in the midshaft of the porcine femur. Specifically, the 50% femoral site of two-month-old (n=5) and six-month-old (n=5) pigs was sectioned and mounted to prepare samples that hold cross-sections of bone. These samples were then ground & polished with a Buehler PowerPro4000 (Buehler, Lake Bluff, IL) until they were adequately refined to be viewed under a microscope. Each of the ten samples was then imaged with a Zeiss microscope at 10X magnification using reflective microscopy. Next, the image portions for each sample were layered and flattened using the Adobe Photoshop program. Once masked so that only bone was visible, these images were input into MATLAB software (Mathworks Inc., Natwick, MA) to identify endosteal and periosteal borders, as well as six wedges of interest. After a distinction of endosteal versus periosteal bone was made in each image, two regions of interest were selected from each sample. These regions will be reimaged at 5X magnification and the encompassed primary and secondary osteons will be traced using a custom MATLAB code. The morphology and distribution of primary and secondary osteons will be computed to reveal differences between the microstructure of endosteal versus periosteal porcine femoral bone.
Abstract title: Osteonal Morphology, Distribution, & Drift in Porcine Femoral Midshaft
Abstract: Analysis of bone microstructure (i.e. primary and secondary osteons) in porcine femoral samples can be used to make statistical comparisons regarding bone quality. The objective of this novel study is to quantify the osteonal morphology, distribution, and drift in the midshaft of the porcine femur. Specifically, the 50% femoral site of two-month-old (n=5) and six-month-old (n=5) pigs was sectioned and mounted to prepare samples that hold cross-sections of bone. These samples were then ground & polished with a Buehler PowerPro4000 (Buehler, Lake Bluff, IL) until they were adequately refined to be viewed under a microscope. Each of the ten samples was then imaged with a Zeiss microscope at 10X magnification using reflective microscopy. Next, the image portions for each sample were layered and flattened using the Adobe Photoshop program. Once masked so that only bone was visible, these images were input into MATLAB software (Mathworks Inc., Natwick, MA) to identify endosteal and periosteal borders, as well as six wedges of interest. After a distinction of endosteal versus periosteal bone was made in each image, two regions of interest were selected from each sample. These regions will be reimaged at 5X magnification and the encompassed primary and secondary osteons will be traced using a custom MATLAB code. The morphology and distribution of primary and secondary osteons will be computed to reveal differences between the microstructure of endosteal versus periosteal porcine femoral bone.