Development of advanced microscopy tools for pathology

开发先进的病理学显微镜工具

• 批准号: 2759206
• 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: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2759206
• 关键词: Development; advanced; microscopy; tools; pathology

This PhD project aims to leverage recent advances in optical microscopy to develop new capabilities for pathology, particularly clinical histopathology, implemented using open-source hardware and software such that these new capabilities could be implemented and maintained in Low and Middle Income Countries. To this end the student will develop an open source brightfield and fluorescence microscope based on the openFrame platform developed in our laboratory at Imperial and will develop and evaluate modules for super-resolved microscopy and hyperspectral imaging. The former will be based on our easySTORM approach, which will be implemented in a slide-scanning microscope and for which we will explore cluster analysis to provide quantitative readouts. The latter will be applied to unmix multiple immunofluorescence labels for cost-effective spatial proteomics, e.g., for use with minimal diagnostic panels of clinical antibodies, and to explore autofluorescence for label-free diagnostic capability. We will also explore quantitative phase imaging and polarisation-resolved imaging as complementary readouts to immunofluorescence and autofluorescence -based readouts.

该博士项目旨在利用光学显微镜的最新进展开发新的病理学能力，特别是临床组织病理学，使用开源硬件和软件实施，以便这些新能力可以在低收入和中等收入国家实施和维护。为此，学生将开发一个开源的明场和荧光显微镜的基础上，在我们的实验室在帝国开发的openFrame平台，并将开发和评估模块的超分辨显微镜和高光谱成像。前者将基于我们的easySTORM方法，该方法将在载玻片扫描显微镜中实施，我们将探索聚类分析以提供定量读数。后者将被应用于解混多个免疫荧光标记，用于具有成本效益的空间蛋白质组学，例如，用于最少的临床抗体诊断组，并探索自发荧光的无标记诊断能力。我们还将探索定量相位成像和偏振分辨成像作为免疫荧光和自体荧光读数的补充读数。