Nevins Mandy C, Quoi Kathryn, Hailstone Richard K, Lifshin Eric
Center for Imaging Science, Rochester Institute of Technology, Rochester, NY 14623, USA.
Nanoscience Constellation of the Colleges of Nanoscience and Engineering, SUNY Polytechnic Institute, Albany, NY 12203, USA.
Microsc Microanal. 2019 Oct;25(5):1167-1182. doi: 10.1017/S1431927619014806.
The point spread function (PSF) of the scanning electron microscope (SEM) can be determined using a recently developed nanoparticle calibration method. Many parameters are involved in PSF determination and introduce a previously unstudied amount of uncertainty into the PSF size and shape. Signal type, support material thickness, reference particle size, PSF smoothing (K), and background correction were investigated regarding their effect on the PSF. Experimental data were complemented by CASINO simulations. Differences in detector position between the observed particles and the method's simulated reference particles caused shifting between secondary electron PSFs and backscattered electron PSFs. Support material thickness did not have a practical effect on the PSF at the tested voltages. Uncertainty in reference particle size varied the PSF full width at half maximum (FWHM) within ±0.7 nm at 2σ, with virtually no uncertainty in some cases. K and background correction within a reasonable range of values resulted in PSF FWHM differences within ±0.9 nm, except at 2 kV for K with an upper bound of ±1.9 nm due to increased noise. Tailoring K and background correction case-by-case would result in smaller differences. The interconnection of these parameters may help in future efforts to calculate their best selection.
扫描电子显微镜(SEM)的点扩散函数(PSF)可以使用最近开发的纳米颗粒校准方法来确定。PSF测定涉及许多参数,并给PSF的大小和形状引入了前所未有的不确定性。研究了信号类型、支撑材料厚度、参考颗粒大小、PSF平滑度(K)和背景校正对PSF的影响。实验数据通过CASINO模拟得到补充。观察到的颗粒与该方法模拟的参考颗粒之间探测器位置的差异导致二次电子PSF和背散射电子PSF之间发生偏移。在所测试的电压下,支撑材料厚度对PSF没有实际影响。参考颗粒大小的不确定性使PSF半高宽(FWHM)在2σ时在±0.7 nm范围内变化,在某些情况下几乎没有不确定性。在合理的值范围内,K和背景校正导致PSF FWHM差异在±0.9 nm以内,但在2 kV时,由于噪声增加,K的上限为±1.9 nm。逐案调整K和背景校正会导致较小的差异。这些参数之间的相互联系可能有助于未来计算其最佳选择的工作。