Automated cell sorting platforms using Al-assisted Raman spectroscopy

使用铝辅助拉曼光谱的自动化细胞分选平台

• 批准号: 2889028
• 金额: --
• 依托单位: University of Glasgow
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2889028
• 关键词: Automated; cell; sorting; platforms; using

We are seeking a highly motivated student to undertake a multidisciplinary project to establish a plug-and-play microfluidic platform for sorting cells based on single cell Raman spectra (SCRS). SCRS contains rich information on the biomolecular composition of a cell, which reflects its type and metabolic function. Coupling SCRS with artificial intelligence and advanced optical imaging provides a powerful tool for discovering cellular traits associated with diseases (e.g. cancer). This project will work with oncology scientists and a global Raman spectrometer company (HORIBA) to discover and sort resistant cells against cancer therapies for downstream studies. This will facilitate the discovery of potential metabolic biomarkers for early cancer diagnosis and screening for potential therapies. The project is highly interdisciplinary, involving collaborations between engineers, cell biologists, data scientists and industry. The student will gain a broad range of skills ranging from microfluidics to imaging methods and analytical techniques.

我们正在寻找一个积极性很高的学生来承担一个多学科的项目，建立一个即插即用的微流体平台，用于基于单细胞拉曼光谱（SCRS）分选细胞。SCRS包含关于细胞的生物分子组成的丰富信息，这些信息反映了细胞的类型和代谢功能。将SCRS与人工智能和先进的光学成像相结合，为发现与疾病（例如癌症）相关的细胞特征提供了强大的工具。该项目将与肿瘤学科学家和一家全球性的拉曼光谱仪公司（HORIBA）合作，发现并分选对癌症疗法有抗性的细胞，用于下游研究。这将有助于发现潜在的代谢生物标志物，用于早期癌症诊断和筛选潜在的治疗方法。该项目是高度跨学科的，涉及工程师，细胞生物学家，数据科学家和行业之间的合作。学生将获得广泛的技能，从微流体到成像方法和分析技术。