Extraction of Hidden Science from Nanoscale Images.
Extraction of Hidden Science from Nanoscale Images.
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DOI：
10.1021/acs.jpcc.1c08712
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发表时间：
2022-01-13
影响因子：
3.7
通讯作者：
Weiss, Paul S.
中科院分区：
文献类型：
--
作者：
Barr, Kristopher K.;Chiang, Naihao;Bertozzi, Andrea L.;Gilles, Jerome;Osher, Stanley J.;Weiss, Paul S.
扫描探针显微镜和光谱使调查的表面，甚至埋界面的规模的化学键相互作用，这种能力已得到加强的支持下，计算算法的数据采集和图像处理，以探索物理，化学和生物现象。在这里，我们描述了如何扫描探针技术已得到加强，这些最近的算法改进。对数据采集算法的一个改进是通过以恒定角速度使用螺旋然后切换到恒定线速度来超越简单的光栅化框架，这限制了在传统采集方法中看到的压电蠕变和滞后问题。还可以使用图像处理技术来对从尖端运动效应出现的失真进行建模，并对这些图像进行校正。我们讨论的另一种图像处理算法使研究人员能够通过域和子域分割图像，从而突出显示域边界处的反应性和有趣的无序站点。最后，我们讨论了用于研究单个分子和表面域的偶极方向，氢键相互作用和分子倾斜的算法。用于扫描探针技术的计算算法仍在快速改进，并在下一级迭代中纳入机器学习。也就是说，这些算法还不能在数据记录期间进行实时调整，这可以显着增强显微镜和光谱成像方法。
Scanning probe microscopies and spectroscopies enable investigation of surfaces and even buried interfaces down to the scale of chemical-bonding interactions, and this capability has been enhanced with the support of computational algorithms for data acquisition and image processing to explore physical, chemical, and biological phenomena. Here, we describe how scanning probe techniques have been enhanced by some of these recent algorithmic improvements. One improvement to the data acquisition algorithm is to advance beyond a simple rastering framework by using spirals at constant angular velocity then switching to constant linear velocity, which limits the piezo creep and hysteresis issues seen in traditional acquisition methods. One can also use image-processing techniques to model the distortions that appear from tip motion effects and to make corrections to these images. Another image-processing algorithm we discuss enables researchers to segment images by domains and subdomains, thereby highlighting reactive and interesting disordered sites at domain boundaries. Lastly, we discuss algorithms used to examine the dipole direction of individual molecules and surface domains, hydrogen bonding interactions, and molecular tilt. The computational algorithms used for scanning probe techniques are still improving rapidly and are incorporating machine learning at the next level of iteration. That said, the algorithms are not yet able to perform live adjustments during data recording that could enhance the microscopy and spectroscopic imaging methods significantly.
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影响因子：
8.6
作者：
FEENSTRA, RM;STROSCIO, JA;FEIN, AP
通讯作者：
FEIN, AP
使用扫描探针显微镜区分铁电和非铁电机电效应
影响因子：
17.1
作者：
Balke, Nina;Maksymovych, Petro;Kalinin, Sergei V.
通讯作者：
Kalinin, Sergei V.
影响因子：
3.9
作者：
Bui, Kevin;Fauman, Jacob;Weiss, Paul S.
通讯作者：
Weiss, Paul S.
影响因子：
44.1
作者：
Bonnell, Dawn A.;Basov, D. N.;Weiss, Paul S.
通讯作者：
Weiss, Paul S.
DOI：
10.1073/pnas.0907866106
发表时间：
2009-12-29
影响因子：
11.1
作者：
Dertinger, T.;Colyer, R.;Enderlein, J.
通讯作者：
Enderlein, J.