flIMAGIN3D_Doctoral Network for a Shared Excellence of Fluorescent Lifetime Imaging Microscopy in Biomedical Applications

在fllimagin3d，其中心是荧光寿命成像显微镜应用于三维生物医学平台；将招募、培训和监督10名有才华的博士候选人，共同建立最强大、用户可访问和最强大的基于flm的平台，并将其应用于生物科学的广泛应用。flIMAGIN3D将在基于FLIM的生物成像的前沿产生10个DCs，他们将带头并催化整个欧洲的FLIM卓越集群；每一个都交织在一个合作网络中，将超越项目的时间框架。该博士网络将通过该网络中的个人项目和广泛借调，培养有才华的博士候选人，了解支撑FLIM的基本理论；提升他们的项目和技能，以及他们的借调主机在FLIM研究卓越flIMAGIN3D解决了生物光子学领域的重大知识差距，涉及生物医学科学家在开发和设计的每一个方面，并认识到各种各样的当前平台需要适应这种模式。在flIMAGIN3D：汇集不同应用和背景的代表，我们将通过开发下一代科学家来识别和克服FLIM成像的障碍，他们将开发一个能够以流线，准确和用户友好的方式提取最大数量信息的FLIM平台，以便以高分辨率了解疾病，分化，发育和干预中的生物学。为了实现这一目标，训练有素的科学家将开发更便宜的先进硬件组件，使用用户友好的软件，可以构建精确的库，用于准确的机器学习分类，以及即插即用平台和传感器，以促进广泛的应用。

In flIMAGIN3D, which centres on fluorescent lifetime imaging microscopy applied to biomedical platforms in 3D; ten talented Doctoral Candidates (DCs) will be recruited, trained and supervised to cohesively establish the most robust, user accessible and powerful FLIM-based platform-never achieved before, and apply it to a wide range of applications in the biological sciences.flIMAGIN3D will generate ten DCs)at the cutting edge of FLIM-based biological imaging who will spearhead, and go onto catalyse clusters of FLIM excellence across Europe; each intertwined within a collaborative network that will extend beyond the time-frame of the program. This doctoral network will train talented doctoral candidates in the essential theories underpinning FLIM , and through the individual projects and extensive secondments in this network; elevate their projects and skills, and that of their secondment hosts to research excellence in FLIM flIMAGIN3D addresses a significant knowledge gap in the field of photonics in biology by involving biomedical scientists in each and every aspect of development and design, and cognisant of the wide variety of current platforms that require adaptability to such modalities.In flIMAGIN3D: bringing together representatives with different applications and backgrounds, we will identify and overcome barriers to FLIM imaging by developing the next generation of scientists who will develop a FLIM platform capable of extracting the greatest amount of information possible in a stream-lined, accurate and user-friendly manner in order to understand biology in disease, differentiation, development and interventions at a high resolution. To achieve this goal, the trained scientists will develop cheaper advanced hardware components, with user friendly software that can build precise libraries for accurate machine learning classifications and plug-and-play platforms and sensors to facilitate a wide range of applications.