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

建议标题：原子力显微镜的实时自适应成像算法首席研究员：Bertozzi，Andrea Institution：加州大学洛杉矶分校提案编号：0940417本研究项目在加州大学洛杉矶分校应用数学项目和劳伦斯·伯克利实验室分子铸造之间建立了跨学科的智力伙伴关系，目标是为原子力显微镜的实时数据采集和分析设计基于计算的变革性方法。这项工作结合了(A)用于成像和力谱实验的高精度AFM仪器，(B)开创性地使用AFM研究无机和高分子体系的氧化、结晶和组装动力学的专业知识，以及(C)用于实时移动数据采集的先进算法和最先进的图像处理算法。这项研究集中在两个案例研究：溴化钾氧化，这是理解对流层化学的重要过程，以及S层蛋白质阵列在脂双层上的形成，这是一个微生物膜发育的体外模型。这两个问题在时间尺度上的动态行为对于当前的AFM成像技术来说太快了。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，以及使用最近控制理论和移动传感器工作中的思想进行实时尖端转向。此外，除了新的算法开发，该项目还针对示例问题解决了新的科学结果，以及用于控制AFM传感器的模块化软件包，该软件包可适用于不同的AFM成像应用。该研究计划包括培训两名研究生，一名是数学专业的，一名是显微镜专业的，从事尖端跨学科科学。此外，本科生还将学习算法的软件和硬件实现。对科学的影响是深远的，即能够在AFM的细节水平上以更快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。分子铸造是一个用户设施，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，通过参观铸造厂的许多研究人员，立即拥有了用户受众。根据这一研究计划开发的技术也被传播给商业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.