CDI Type I: Real-time adaptive imaging algorithms for atomic force microscopy

奖项提案标题：原子力显微镜实时自适应成像算法首席研究员：Bertozzi，Andrea 机构：加州大学洛杉矶分校提案号：0940417该研究项目锻造UCLA应用数学计划和劳伦斯伯克利分校的分子铸造之间的跨学科的智力合作伙伴关系，与设计变革的计算为基础的实时数据采集和原子力显微镜（AFM）分析的方法的目标。这项工作结合了以下方面的专业知识：（a）用于成像和力谱实验的高精度AFM仪器，（B）AFM的开创性使用，以研究氧化，结晶和无机和大分子系统的组装动力学，（c）用于实时移动的数据采集的先进算法和最先进的图像处理算法。该研究侧重于两个案例研究：溴化钾氧化，在理解对流层化学的重要过程，和S-层蛋白质阵列形成的脂质双层，在体外模型的微生物膜的发展。这两个问题的动态行为的时间尺度太快，目前的AFM成像技术。这项工作涉及最先进的算法开发，包括压缩传感，图像修复，图像分割和去模糊，结合实时尖端转向，使用控制理论和移动的传感器的最新工作的想法。此外，除了新算法的开发，该项目还针对示例问题提出了新的科学成果，并开发了一个用于控制AFM传感器的模块化软件包，该软件包可适用于各种AFM成像应用。该研究计划包括对两名研究生进行尖端跨学科科学的培训，一名是数学研究生，一名是显微镜研究生。此外，本科生参与算法软件和硬件实现。对科学的影响是深远的，即能够在AFM的细节水平上以更高的速度观察生物和化学过程，并通过软件和控制方法进一步提高现有AFM硬件技术的分辨率和成像能力。Molecular Foundry是一个用户设施，为世界各地的学术，政府和工业实验室的纳米科学研究人员提供支持。因此，通过这项研究计划取得的进展，通过许多访问铸造厂的研究人员，有一个直接的用户观众。在这项研究计划下开发的技术也传播给商业AFM制造商。

AWARDProposal Title: Real-time adaptive imaging algorithms for atomic force microscopyPrincipal Investigator: Bertozzi, Andrea Institution: University of California-Los Angeles Proposal No: 0940417 This research project forges an interdisciplinary intellectual partnership between UCLAs Applied Mathematics program and Lawrence Berkeley Laboratorys Molecular Foundry, with the goal of designing transformative computation-based methods for real-time data acquisition and analysis in atomic force microscopy (AFM). The work combines expertise in (a) high-precision AFM instrumentation for imaging and force spectroscopy experiments, (b) the pioneering use of AFM to investigate the dynamics of oxidation, crystallization, and assembly of inorganic and macromolecular systems with (c) advanced algorithms for real-time mobile data acquisition and state-of-the-art image processing algorithms. The research focuses on two case studies: Potassium bromide oxidation, an important process in understanding tropospheric chemistry, and S-layer protein array formation on lipid bilayers, an in vitro model of microbial membrane development. Both problems have dynamic behavior on a time-scale too fast for current AFM imaging technologies. The work involves state-of-the-art algorithm development involving compressive sensing, image inpainting, image segmentation and deblurring, combined with real-time tip steering using ideas from recent work in control theory and mobile sensors. In addition, to the new algorithm development, the project addresses new scientific results for the example problems, and a modular software package for control of the AFM sensor that could be adapted for diverse AFM imaging applications.The research program involves the training of two graduate students, one in mathematics and one in microscopy, in cutting-edge interdisciplinary science. Additionally, undergraduate students are involved in algorithm software and hardware implementation. The impact on science is profound namely the ability to observe biological and chemical processes at higher speeds at the level of detail of AFM and to further increase the resolution and imaging power of existing AFM hardware technologies, through software and control methodologies. The Molecular Foundry is a user facility providing support to nanoscience researchers in academic, government and industrial laboratories around the world. Thus, advances made through this research program have an immediate user audience through the many researchers visiting the Foundry. Technology developed under this research program is also disseminated to commercial AFM manufacturers.