Applied computational geometry in fundamentals of bio-imaging and analysis

生物成像和分析基础中的应用计算几何

• 批准号: 341716-2007
• 负责人: Morrison, Jason
• 金额: $ 1.02万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2008
• 资助国家: 加拿大
• 起止时间: 2008-01-01 至 2009-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=399566
• 关键词: Applied; computational; geometry; fundamentals; bio

As a computer scientist working in the discipline of biosystems engineering, my long term research program focuses on the application of computational geometry to the fundamental physical sciences of imaging and analyzing food and biological materials. In the analysis of materials, traditional spectroscopic techniques provide the spectral signature of a chemical sample, modern spectroscopic imaging provides entire spectra at each pixel of a sample. While each technology and manufacturer has equipment with differing spatial resolutions many devices offer hundreds of thousand of pixels per sample. Similarly spectral resolution varies from the multispectral (tens of spectra per pixel) to hyperspectral (hundreds to tens of thousands per pixel).

作为一名在生物系统工程学科工作的计算机科学家，我的长期研究计划侧重于计算几何在成像和分析食品和生物材料的基础物理科学中的应用。 在材料分析中，传统的光谱技术提供化学样品的光谱特征，现代光谱成像提供样品每个像素的完整光谱。 虽然每种技术和制造商都有不同空间分辨率的设备，但许多设备提供每个样本数十万像素。 类似地，光谱分辨率从多光谱（每像素数十个光谱）到高光谱（每像素数百到数万个光谱）变化。