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).

我们对周围世界的理解，特别是生物系统的理解，受到显微镜及其在从纳米到毫米的长度尺度上揭示相互作用的能力的基础。但是，图像形成的物理学从根本上限制了我们可以看到的最小的东西，大约在薄平面内大约一半微米，而小于几微米的深度和小于毫米宽。在成像概念组中，我们开发了新的计算显微镜技术，这些技术使能够大大超过这些基本限制的成像。这使我们能够记录几个第一：例如，在整个生物体的整个深度（Zebra鱼）的整个深度（Zebra Fish）的第一个视频结果纳米尺度映射，并展示了200-mpixel的Sub-Micron-Micron-Micron-Micron-Soloscopy使用3D打印显微镜，该显微镜提供了跨越较低的Sensing Serns Syns Syns Syns Synss intims pressight persing ands int-inss niff sensing sensiss。跨越五个数量级的长度尺度：从纳米到毫米；从细胞膜到细胞集体。在计算成像，光谱成像和荧光寿命成像中的技术基础上，学生将开发用于测量纳米级变化的技术，这些技术可用于定量地绘制三维和视频速率的生物学结构和化学浓度。这项研究将涉及成像和传感科学，光学系统设计和计算机算法的融合，以定量生成图像。该项目将涉及开发创造性解决方案，严格的建模和实验光学。建模和算法开发将采用高级编程语言（例如，用于通用编程的Matlab，Python或Mathematica，用于建模图像系统）。