Yu K M, Locatelli A, Altman M S
Department of Physics, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong.
Elettra - Sincrotrone Trieste S.C.p.a., S.S. 14 - km 163,5 in AREA Science Park, 34149 Basovizza, Trieste, Italy.
Ultramicroscopy. 2017 Dec;183:109-116. doi: 10.1016/j.ultramic.2017.03.023. Epub 2017 Mar 24.
A theoretical understanding of image formation in cathode lens microscopy can facilitate image interpretation. We compare Fourier Optics (FO) and Contrast Transfer Function (CTF) approaches that were recently adapted from other realms of microscopy to model image formation in low energy electron microscopy (LEEM). Although these two approaches incorporate imaging errors from several sources similarly, they differ in the way that the image intensity is calculated. The simplification that is used in the CTF calculation advantageously leads to its computational efficiency. However, we find that lens aberrations, and spatial and temporal coherence may affect the validity of the CTF approach to model LEEM image formation under certain conditions. In particular, these effects depend strongly on the nature of the object being imaged and also become more pronounced with increasing defocus. While the use of the CTF approach appears to be justified for objects that are routinely imaged with LEEM, comparison of theory to experimental observations of a focal image series for rippled, suspended graphene reveals one example where FO works, but CTF does not. This work alerts us to potential pitfalls and guides the effective use of FO and CTF approaches. It also lays the foundation for quantitative image evaluation using these methods.
对阴极透镜显微镜成像形成的理论理解有助于图像解释。我们比较了傅里叶光学(FO)和对比度传递函数(CTF)方法,这两种方法最近从显微镜的其他领域改编而来,用于模拟低能电子显微镜(LEEM)中的成像形成。虽然这两种方法类似地纳入了来自多个来源的成像误差,但它们在计算图像强度的方式上有所不同。CTF计算中使用的简化有利地导致了其计算效率。然而,我们发现透镜像差以及空间和时间相干性在某些条件下可能会影响CTF方法对LEEM成像形成建模的有效性。特别是,这些影响在很大程度上取决于被成像物体的性质,并且随着散焦的增加也会变得更加明显。虽然对于常规用LEEM成像的物体,使用CTF方法似乎是合理的,但对波纹状悬浮石墨烯的聚焦图像系列的理论与实验观察结果的比较揭示了一个FO方法适用而CTF方法不适用的例子。这项工作提醒我们注意潜在的陷阱,并指导FO和CTF方法的有效使用。它还为使用这些方法进行定量图像评估奠定了基础。