Advances in imaging technology have enabled automated approaches for quantitative image analysis.... more Advances in imaging technology have enabled automated approaches for quantitative image analysis. In this study, a high content object based image analysis method was developed for quantification of amyloid (A) plaques in postmortem brains of Alzheimer's disease (AD) subjects and in transgenic mice over overexpressing A. Digital images acquired from immunohistochemically stained sections of the superior frontal gyrus were analyzed for A plaque burden using a Definiens object-based segmentation approach. Blinded evaluation of A stained sections from AD and aged matched human subjects accurately identified AD cases with one exception. Brains from transgenic mice overexpressing A (PS1APP mice) were also evaluated by our Definiens object based image analysis approach. We observed an agedependent increase in the amount of A plaque load that we quantified in both the hippocampus and cortex. From the contralateral hemisphere, we measured the amount of A in brain homogenates biochemically and observed a significant correlation between our biochemical measurements and those that we measured by our object based Definiens system in the hippocampus. Assessment of A plaque load in PS1APP mice using a manual segmentation technique (Image-Pro Plus) confirmed the results of our object-based image analysis approach. Image acquisition and analysis of 32 stained human slides and 100 mouse slides were executed in 8 h and 22 h, respectively supporting the relatively high throughput features of the Definiens platform. The data show that digital imaging combined with object based image analysis is a reliable and efficient approach to quantifying A plaques in human and mouse brain.
Advances in imaging technology have enabled automated approaches for quantitative image analysis.... more Advances in imaging technology have enabled automated approaches for quantitative image analysis. In this study, a high content object based image analysis method was developed for quantification of amyloid (A) plaques in postmortem brains of Alzheimer's disease (AD) subjects and in transgenic mice over overexpressing A. Digital images acquired from immunohistochemically stained sections of the superior frontal gyrus were analyzed for A plaque burden using a Definiens object-based segmentation approach. Blinded evaluation of A stained sections from AD and aged matched human subjects accurately identified AD cases with one exception. Brains from transgenic mice overexpressing A (PS1APP mice) were also evaluated by our Definiens object based image analysis approach. We observed an agedependent increase in the amount of A plaque load that we quantified in both the hippocampus and cortex. From the contralateral hemisphere, we measured the amount of A in brain homogenates biochemically and observed a significant correlation between our biochemical measurements and those that we measured by our object based Definiens system in the hippocampus. Assessment of A plaque load in PS1APP mice using a manual segmentation technique (Image-Pro Plus) confirmed the results of our object-based image analysis approach. Image acquisition and analysis of 32 stained human slides and 100 mouse slides were executed in 8 h and 22 h, respectively supporting the relatively high throughput features of the Definiens platform. The data show that digital imaging combined with object based image analysis is a reliable and efficient approach to quantifying A plaques in human and mouse brain.
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