Phase II I/UCRC Trustees of Boston University: Center on Biophotonic Sensors and Systems

CBSS在生命科学和光子学工程的交叉点上运作，专注于竞争前的研究，为先进的方法提供使能技术，以检测、感知和识别分子、细胞和亚细胞水平的生物特性、条件或变化。这些创新将通过与行业成员的长期合作伙伴关系，解决疾病诊断、药效测试和监测、药物发现和食品与水安全领域的解决方案。在第二阶段，波士顿大学(牵头机构)和加州大学戴维斯分校(大学网站)的研究工作将继续进行，以发展与我们校园内教师的合作，这些教师的研究与S中心的任务相关。S创建了社会工程师，这是一种社会意识和对产品如何在创造就业和经济机会的同时提高我们的生活质量的欣赏的概念，与该中心的主要使命-培养多样化的训练有素的科学家和工程师-产生了很好的共鸣。学生有机会直接参与技术转让过程，并与行业一起学习识别应用程序和定义最大需求的领域，评估新技术和研究工具，并从事可应用于解决现实世界挑战和改善医疗保健结果的研究。随着CBSS的发展，该中心打算利用生命科学领域的公司通过合作研究和大学主导的创新加速创新的趋势，特别是在生物光子学传感领域。该中心对会员的价值基于提供竞争前研究的能力，这些研究可以根据会员的S产品组合计划进行调整。这种高度优先的研究和以产品为导向的研究通常仍然是每一家公司的重点，但总的来说，成员资格重视该中心的价值：-增加成员研究组合的广度和多样性。-致力于竞争前的技术，这些技术可能会在未来增加一些好处。-致力于有价值但成员公司没有、没有时间或资源的替代方法。这也有助于成员更好地定位他们现有的产品/技术方法。-提供对可能在公司-S领域之外的新兴研究领域的敞口，从而增加成员？S的创新能力。在行业战略监督的指导下，研究项目将导致在理解细胞/宿主相互作用、新的生物标记物发现、护理点和互操作诊断、个性化癌症治疗以及许多其他将提高医疗质量的技术方面的突破。S中心的研究与三个相互重叠的关键领域保持一致：生物成像、光学诊断和分析，每个关键领域都有系统、传感器和器件以及材料与生物领域的组成部分。Analytics研究的目标是在成像和诊断工具中嵌入数据检索和计算处理能力，以加深对收集的生物、基因、行为和环境数据的理解，以便能够在个人层面上做出医疗决策。在北卡罗来纳大学，高分辨率倾斜位置可变形反射镜(TPP-DM)的最新发展与计算和机器学习算法相结合，展示了生物成像和分析的组合应用，如血液和组织样本的成像或细胞分类。

CBSS operates at the intersection of life sciences and photonics engineering and focuses on precompetitive research that provides the enabling technologies for advanced methods to detect, sense and identify biological properties, conditions or changes at the molecular, cellular and subcellular level. These innovations will address solutions in the areas of Disease Diagnosis, Drug Efficacy Testing & Monitoring, Drug Discovery, and Food & Water Safety through long-term partnerships with industry members. During Phase II, research efforts will continue at Boston University (lead institution) and UC Davis (university site) to develop collaborations with faculty across our campuses whose research is relevant to the Center?s mission. BU?s Creating the Societal Engineer, a concept of a social consciousness and appreciation for how products advance our quality of life while creating jobs and economic opportunity, resonates well with a primary mission of the Center to educate a diverse pipeline of trained scientist and engineers. Students have an opportunity to directly participate in the technology transfer process and with industry learn to identify applications and define areas of greatest needs, evaluate new technologies and research tools, and pursue research that can be applied to solving real-world challenges and improving healthcare outcomes. As CBSS grows, the Center intends to capitalize on a trend by companies in the life sciences sector to accelerate innovation through collaborative research and university-led innovations, specifically in the area of biophotonic sensing. The Center's value to the membership is based on the ability to deliver pre-competitive research that can be adapted to align with a member?s product portfolio plans. This high priority research and product directed research typically remains the focus of each individual company, but collectively, the membership values the Center for:- Adding to the breadth and diversity of a member's research portfolio.- Working on pre-competitive technologies that could add some benefits in the future.- Working on alternative approaches that have merit but which a member company has neither, the time or resources to pursue. This also helps a member better position their existing product/technology approaches.- Providing exposure to emerging areas of research that may be outside the company?s domain, thus adding to a member?s innovation capability.The research projects, guided by industry strategic oversight, will lead to breakthroughs in understanding cell/host interactions, new biomarker discovery, point-of-care and interoperation diagnostics, personalized cancer treatment, and many other technologies that will improve the quality of healthcare. The Center?s research is aligned with three overlapping thrust areas: Bio-Imaging, Optical Diagnostics and Analytics, and each of these thrust areas has a component in Systems, Sensors & Devices, and Materials & Biology. The goal of the Analytics research is to embed data retrieval and computing processing power in imaging and diagnostic tools to develop an understanding of biological, genetic, behavioral and environmental data gathered so that healthcare decisions can be made down to the individual level. At BU recent developments in high-resolution tip-tilt-position deformable mirrors (TPP-DM) combined with computation and machine learning algorithms demonstrate the combinations of bio-imaging and analytics for applications such as imaging of blood and tissue samples or cell sorting.