Machine learning for organelle selection & feature detection in live cells

用于细胞器选择的机器学习

• 批准号: DP180101910
• 负责人: Dr Nicholas Hamilton
• 金额: $ 45.91万
• 依托单位: The University of Queensland
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2018
• 资助国家: 澳大利亚
• 起止时间: 2018-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP180101910
• 关键词: Machine; learning; organelle; selection; feature

This project aims to addresses a roadblock in cell imaging and analysis by creating new mathematical and machine learning techniques for large datasets. Using advanced imaging and these analytic tools this project aims to define newly-discovered macropinosomes - cell structures with seminal roles in immunobiology. Outcomes will include a suite of computational tools that can be applied across bioscience to fully reveal and quantify information contained within microscopic imaging and high impact knowledge for immunity. Innovative approaches will benefit the nation by capacity building in interdisciplinary technology.

该项目旨在通过为大型数据集创建新的数学和机器学习技术来解决细胞成像和分析中的障碍。利用先进的成像和这些分析工具，本项目旨在定义新发现的巨小体-在免疫生物学中具有重要作用的细胞结构。成果将包括一套可应用于整个生物科学的计算工具，以充分揭示和量化微观成像和免疫高影响知识中包含的信息。创新方法将通过跨学科技术的能力建设使国家受益。