Computational localisation microscopy in three dimensions

三维计算定位显微镜

• 批准号: 2589906
• 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: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2589906
• 关键词: Computational; localisation; microscopy; three; dimensions

Our understanding of the world around us, and in particular biological systems, is underpinned by microscopy and its ability to reveal interactions on length scales ranging from nanometres to millimetres. But the physics of image formation fundamentally limits the smallest things we can see to about half a micron within a thin plane less than a few microns in depth and less than a millimetre wide. Within the imaging concepts group, we have developed new computational microscopy techniques that enable imaging that greatly exceeds these fundamental limitations. This has enabled us to record several firsts: such as the first video-rate nano-scale mapping of blood flow throughout the full depth of a living organism (a zebra fish) and to demonstrate 200-Mpixel sub-micron-resolution microscopy using 3D-printed microscopes, which offers a new low-cost screening tool for low-income countries.This PhD project aims to develop an exciting new microscopy technique for imaging and sensing across length scales that span five orders of magnitude: from nanometres to millimetres; from cell membranes to cell collectives. Building on our techniques in computational imaging, spectral imaging and fluorescence lifetime imaging, the student will develop techniques for measuring nanoscale-variations that could be used to quantitively map biological structure and chemical concentrations in three dimensions and at video rates. The research will involve the fusion of the science of imaging and sensing, optical-system design and computer algorithms for quantitative generation of images. The project will involve developing creative solutions, rigorous modelling and experimental optics. Modelling and algorithm development will be in a high-level programming language (eg MatLab, Python or Mathematica for general purpose programming or Zemax for modelling of image systems).

我们对周围世界，特别是生物系统的理解，是由显微镜及其揭示从纳米到毫米的长度尺度上的相互作用的能力所支撑的。但是，图像形成的物理原理从根本上限制了我们能看到的最小物体，在一个厚度小于几微米、宽度小于一毫米的薄平面上，大约只有半微米。在成像概念组内，我们开发了新的计算显微镜技术，使成像大大超出了这些基本限制。这使我们能够记录几个第一：例如，第一个视频速率纳米尺度的血液流动映射整个生物体（斑马鱼）的全部深度，并展示了使用3d打印显微镜的200万像素亚微米分辨率显微镜，这为低收入国家提供了一种新的低成本筛查工具。该博士项目旨在开发一种令人兴奋的新显微镜技术，用于跨越五个数量级的长度尺度的成像和传感：从纳米到毫米；从细胞膜到细胞群。基于我们在计算成像、光谱成像和荧光寿命成像方面的技术，学生将开发用于测量纳米尺度变化的技术，这些变化可用于在三维和视频速率下定量绘制生物结构和化学浓度。这项研究将涉及成像和传感科学、光学系统设计和定量生成图像的计算机算法的融合。该项目将涉及开发创造性的解决方案、严格的建模和实验光学。建模和算法开发将使用高级编程语言（例如MatLab， Python或Mathematica用于通用编程或Zemax用于图像系统建模）。