Fully automated fluorescence zoom microscope

慕尼黑工业大学正在申请一台立式荧光变焦研究显微镜，以研究生物和人工流量网络中流量和网络结构之间的相互作用。在新任命的物理学教授Karen Alim教授的指导下，该显微镜将补充Garching校区研究大楼“功能蛋白质组装中心”的现有基础设施，配备专为大样本场设计的显微镜。现代荧光变焦显微镜能够在高荧光亮度下分辨率大样本场。独立的透射光照明和自动快门允许并行组合荧光图像和亮场图像，从而解决了样品随时间变化的正交特性。最新的技术发展甚至允许光学切片通过结构照明的宏观荧光样品，从而实现样品的三维分辨率。荧光变焦显微镜是为多细胞样本的研究量身定做的，并为多细胞生物的形态提供独特的见解。在模式生物多头绒泡菌中，这项技术将被用来研究活体流动网络中的流动如何反馈到他们的网络结构上。目的是确定网络体系结构如何确定流及其传输属性，以及与流相关的剪切力和压力以及可溶性信使的传输如何反馈到网络体系结构。这种相互作用的物理原理将在人工流动网络上进行测试，用于可控多孔介质和智能材料的技术应用。

The Technical University of Munich is here applying for an upright fluorescence zoom research microscope to study the interaction between flow and network architecture in living and artificial flow networks. Under the direction of the newly appointed physics professor Prof. Dr. Karen Alim, the microscope will complement the existing infrastructure at the Research Building “Center for Functional Protein Assemblies” on the Garching campus with a microscope designed for large sample fields.Modern fluorescence zoom microscopy enables the resolution of large sample fields at high fluorescence brightness. Independent transmitted light illumination and automated shutters allow the combination of fluorescence and brightfield images in parallel, thus resolving orthogonal properties of a sample over time. The latest technical developments even allow optical sections through macroscopic fluorescence samples by structured illumination and thus a three-dimensional resolution of samples. Fluorescence zoom microscopes are tailored to the investigation of multicellular samples and provide unique insights into the morphology of multicellular organisms. In the model organism Physarum polycephalum, this technique will be used to investigate how flows in living flow networks feed back on their network architecture. The aim is to identify how the network architecture determines the flows and its transport properties and how flow-related shear forces and pressures as well as the transport of soluble messengers feed back on the network architecture. The physical principles of this interaction will be tested on artificial flow networks for technical applications in controllable porous media and for smart materials.