Honors College Thesis
 

Quantitative 3D Image Analysis of a Zebrafish Xenograft Model of Glioblastoma Cell Proliferation

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  • Glioblastoma multiforme is the most common primary brain tumor in adults ages 45-70, with over 12,120 new cases in the U.S. predicted for 2016 alone. Glioblastoma is also one of the most difficult cancers to treat because the tumor cells tend to invade into the surrounding healthy tissue, making it difficult to completely remove all of the tumor without resulting in more damage. As a result, the 5 year survival rate remains low – less than 5% – and without treatment, median survival time is <1 year post-diagnosis. To investigate key factors in tumor cell invasion and decision-making, – including specific attachment sites, links between tumor invasiveness and distance from blood vessels, and the velocity and directionality of the tumor cells – we developed a new embryonic zebrafish xenograft model. Current work in the lab utilizes two different imaging methods – high throughput epifluorescence (via High Content Imager, HCI) and Confocal – and two different analysis packages: MetaXpress (v. 5.0.3.1) and FIJI (FIJI Is Just ImageJ, v. 2.0.0) to quantify tumor cells in the model. This paper will explain imaging and analysis protocols, compare the benefits of each analysis package based on the image source, and suggest optimal pairings and areas for improvement.
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