Trevor Johnson

Trevor Johnson

Denver, Colorado, United States
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Experience

Education

  • UCLA Graphic

    UCLA

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  • -

    Activities and Societies: Eta Kappa Nu

    Summa Cum Laude

Publications

  • Tissue Pattern Recognition Error Rates and Tumor Heterogeneity in Gastric Cancer

    Applied Immunohistochemistry and Molecular Morphology

    To provide a real-world example of tissue pattern recognition, 11 HER2-stained upper gastrointestinal malignancies with high heterogeneity were evaluated. HER2 scoring of gastric cancer was chosen due to its increasing importance in gastrointestinal disease. A method is introduced for quantifying the error rates of tissue pattern recognition. The trade-off between fully sampling tumor with a given tissue pattern recognition error rate versus randomly sampling a limited number of fields of view…

    To provide a real-world example of tissue pattern recognition, 11 HER2-stained upper gastrointestinal malignancies with high heterogeneity were evaluated. HER2 scoring of gastric cancer was chosen due to its increasing importance in gastrointestinal disease. A method is introduced for quantifying the error rates of tissue pattern recognition. The trade-off between fully sampling tumor with a given tissue pattern recognition error rate versus randomly sampling a limited number of fields of view with higher target accuracy was modeled with a Monte-Carlo simulation. Under most scenarios, stereological methods of sampling-limited fields of view outperformed whole-slide tissue pattern recognition approaches for accurate immunohistochemistry analysis. The importance of educating pathologists in the use of statistical sampling is discussed, along with the emerging role of hybrid whole-tissue imaging and stereological approaches.

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  • Multiplexed measurement of proteins in tissue in a clinical environment.

    Appl Immunohistochem Mol Morphol. 2011 Dec;19(6):494-8

    There is an emerging need for more effective approaches to accurately quantitate protein expression in tissue samples. In many clinical studies and particularly in pharmaceutical clinical trials, access to adequate tissue samples is a major bottleneck, and thus techniques to measure protein expression in these valuable tissue specimens is important. This study will review current approaches in multiplexing of protein expression in tissue, and discusses new approaches using a novel image…

    There is an emerging need for more effective approaches to accurately quantitate protein expression in tissue samples. In many clinical studies and particularly in pharmaceutical clinical trials, access to adequate tissue samples is a major bottleneck, and thus techniques to measure protein expression in these valuable tissue specimens is important. This study will review current approaches in multiplexing of protein expression in tissue, and discusses new approaches using a novel image registration technique across multiple tissue sections

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Patents

  • Methods for feature analysis on consecutive tissue sections

    Issued US US13247991

  • Cell-based tissue analysis

    US US9488639 B2

  • Computerized methods for cell-based pattern recognition

    US US9424459 B1

  • Methods for feature analysis on consecutive tissue sections

    US US 9607379 B1

  • Systems and methods for interactive image analysis of digital pathology images

    US US 9589172 B1

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