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

在flIMAGIN3D中，该项目以应用于3D生物医学平台的荧光寿命成像显微镜为中心;将招募、培训和监督10名才华横溢的博士候选人（DC），以建立一个最强大、用户可访问和功能强大的基于FLIM的平台，这是前所未有的，并将其应用于生物科学的广泛应用。flIMAGIN3D将在FLIM的前沿产生十个DC）-基于生物成像谁将带头，并去催化整个欧洲的FLIM卓越集群;每个交织在一个合作网络，将超出该计划的时间框架。该博士网络将通过该网络中的个别项目和广泛的借调，在FLIM的基本理论方面培养有才华的博士候选人;提升他们的项目和技能，以及他们的借调宿主在FLIM flIMAGIN3D中的卓越研究，通过让生物医学科学家参与开发和设计的各个方面，解决了生物光子学领域的重大知识缺口，并认识到当前各种各样的平台需要适应这些模式。在flIMAGIN3D中：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型方式提取最大信息量的FLIM平台，以准确和用户友好的方式，以高分辨率了解疾病、分化、发育和干预措施中的生物学。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，以及用户友好的软件，这些软件可以为精确的机器学习分类和即插即用平台和传感器构建精确的库，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.