Computed microscopy: solving the inverse problem of optical microscopy to image deeper into biological tissue

该项目旨在使3D光学显微镜能够在组织内进行更深层次的成像，最终帮助神经生物学等研究领域。这将通过一种称为计算显微镜的基础方法来实现，该方法结合了新颖的数值方法，高性能计算和光学显微镜。该项目旨在开发一种3D定量成像方法，该方法将提供对具有亚细胞细节的组织结构的前所未有的洞察。然后，这些信息可以用于计算样本内的反向光散射，从而在组织内前所未有的深度进行荧光显微镜检查。

This project aims to enable 3D optical microscopy to image deeper within tissue, ultimately aiding research fields such as neurobiology. This will be achieved by a foundational approach called computed cicroscopy that combines novel numerical methods, high performance computing and optical microscopy. This project aims to develop a 3D quantitative imaging method that will provide unprecedented insight into the structure of tissue with sub-cellular detail. This information can then be used to computationally reverse light scattering within the sample, allowing fluorescence microscopy at unprecedented depths within tissue.