Multispectral histology - Characterisation of tissues at a cellular and molecular level

多光谱组织学 - 在细胞和分子水平上表征组织

• 批准号: 2225724
• 金额: --
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2225724
• 关键词: Multispectral; histology; Characterisation; tissues; cellular

Key Research Objective: To develop computational and experimental methods which will be used to develop a 'cell by cell' approach to visualising and interpreting results from mass spectrometry and mass spectrometry imaging experiments.Project Plan:Year 1: MS and MSI of cells - optimisation of cell numbers and preparation of pellets form pure cultures. Training in matrix-assisted laser desorption/ionization (MALDI) and Desorption electrospray ionization (DESI) MSI and in Rapid Evaporative Ionization Mass Spectrometry (REIMS). Training in data analysis and visualisation methods. Generate spectra from pure and mixed samples.Year 2: Development of FACS MS source for an online FACS MS. Review of multispectral 'spectra unmixing' approaches for interpretation of data from mixed populations.Year 3: Continued development of instrumentation and protocols.Year 4: Data analysis, optimisation of classification approaches. Dissemination.

主要研究目标：开发计算和实验方法，用于开发“细胞接细胞”的方法，以可视化和解释质谱和质谱成像实验的结果。项目计划：第一年：细胞的MS和MSI -优化细胞数量和制备纯培养的微球。基质辅助激光解吸/电离（MALDI）和解吸电喷雾电离（DESI） MSI以及快速蒸发电离质谱（REIMS）的培训。数据分析和可视化方法方面的培训。从纯和混合样品生成光谱。第2年：开发用于在线FACS MS的FACS MS源。回顾用于解释混合种群数据的多光谱“光谱解混”方法。第三年：仪器和协议的持续发展。第四年：数据分析，分类方法的优化。传播。