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    Deep Learning Segmentation of Kidney Tissue Microarrays Using Infrared Spectral Imaging 

    McKeown, Connor; Langlois, Jordan; Caterer, Zachary (2022-04)
    Renal function is an essential marker in the classification of renal disease and clinical symptoms of renal failure develop when there is 15% renal function. In this study, we used infrared spectroscopic (IR) imaging to ...
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    Comparing the Accuracy of FTIR Imaging and QCL Technology for the Differentiation Between Chromophobe Renal Cell Carcinoma and Oncocytoma  

    Mathisen, Blake; Rook, Leah; Hady, Mikayla; Caterer, Zachary (2022-04)
    Renal Cell Carcinoma (RCC) is the deadliest urological cancer. Chromophobe RCC makes up approximately 5% of all renal tumors. This leads to improper filtration of the blood which causes symptoms such as blood in the urine, ...
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    Predicting Fibrotic Progression in Renal Transplant Tissue Using FT-IR Imaging 

    Caterer, Zachary; Mathisen, Blake; Boyle, Jennifer; Feuker, Katie; Hady, Mikayla; Severson, Nathanial; Walsh, Michael J. (2022-04)
    Kidney is the most transplanted organ in the United States. Transplantation is the primary treatment for end-stage renal disease, yet 50% of transplants progress to chronic allograft injury. It is difficult to discern ...
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    A Machine Learning Approach Towards Prediction of Pancreatic Cancer Using Gene Expression and DNA Methylation 

    Keller, Paige; Morehead, Samuel; Caterer, Zachary (2024-04)
    DNA methylation is a process that can affect gene accessibility and therefore gene expression. Methylation can affect genes that are associated with suppressing or contributing to tumor growth and progression. In this ...
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    wrmxpress GUI: A User-Friendly Interface For High-Throughput Analysis of Parasitic Worms 

    Caterer, Zachary; Mathisen, Blake (2024-04)
    As antiparasitic research moves towards high-content and high-throughput phenotypic screening, computation of large imaging datasets will play a significant role. The data generated by automated microscopy is invaluable ...
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    A Machine Learning Approach Towards Prediction of Pancreatic Cancer Using Gene Expression and DNA Methylation 

    Keller, Paige; Morehead, Samuel; Caterer, Zachary (2025-04)
    Pancreatic ductal adenocarcinoma (PDAC) is the most common form of pancreatic cancer, accounting for over 90% of cases, and is characterized by aggressive growth, early metastasis, and resistance to therapy. A comprehensive ...

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    Author
    Caterer, Zachary (6)
    Mathisen, Blake (3)Hady, Mikayla (2)Keller, Paige (2)Morehead, Samuel (2)Boyle, Jennifer (1)Feuker, Katie (1)Langlois, Jordan (1)McKeown, Connor (1)Rook, Leah (1)... View MoreSubjectPosters (6)Department of Materials Science and Biomedical Engineering (4)Department of Computer Science (3)Infrared spectroscopy (3)Machine learning (3)DNA Methylation (2)Kidney fibrosis (2)Pancreatic cancer (2)Department of Biology (1)Department of Mathematics (1)... View MoreDate Issued2022 (3)2024 (2)2025 (1)Has File(s)
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