Automated cell sorting platforms using Al-assisted Raman spectroscopy

我们正在寻找一名积极进取的学生，从事一个多学科项目，以建立一个基于单细胞拉曼光谱(SCR)的即插即用微流控平台，用于细胞分选。SCRs包含丰富的关于细胞生物分子组成的信息，反映了细胞的类型和代谢功能。将SCR与人工智能和先进的光学成像相结合，为发现与疾病(如癌症)相关的细胞特征提供了一个强大的工具。该项目将与肿瘤学科学家和一家全球拉曼光谱仪公司(HORIBA)合作，为下游研究发现和分类抗癌疗法的耐药细胞。这将有助于发现潜在的代谢生物标记物，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。

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.