On Determination Method for Resolution of Secondary Electron Images in Scanning Electron Microscopy
Source abstract
Abstract
ABSTRACT A rational scheme for the determination of the resolving power of a scanning electron microscope (SEM) has been a long‐standing unresolved scientific issue. The objective measurement of the image resolution according to the ISO terminology definition is always difficult, and different measurement methods used in practice now are all inconsistent with the ISO terminology definition and do not follow the Rayleigh criterion. Here, we establish a sharpness‐resolution conversion curve method based on physical modeling of SEM imaging with the help of Monte Carlo simulation. The simulated secondary electron images of the resolution sample enable the build‐up of the conversion curve via the simultaneous evaluation of image sharpness and image resolution under both the Rayleigh criterion and the Rose criterion. The obtained conversion curves for realistic 3D structures of resolution samples show nonlinearity and provide a convenient means by programmed measurement routine, establishing a scientifically sound way and robust framework for automatic evaluation of SEM instruments based on their resolving performance.
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Research context
OpenAlex topics: Electron and X-Ray Spectroscopy Techniques · Advanced Electron Microscopy Techniques and Applications · Image Processing Techniques and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Hefei National Research Center for Physical Sciences at the Microscale and Department of Physics University of Science and Technology of China Hefei Anhui P. R. China
School of Physics & Electronic Engineering Xinjiang Normal University Urumqi Xinjiang P. R. China
Funding
National Natural Science Foundation of China
References (68)
Show source-provided references
1. 10.1007/978-3-030-00069-110.1007/978-3-030-00069-1 ↗
2. Vladár A. E. · 2017 · 43710.1201/9781420045550-9 ↗
3. Sato M. · 2017 · 39110.1201/9781420045550-8 ↗
4. 10.1007/978‐0‐387‐49762‐410.1007/978‐0‐387‐49762‐4 ↗
5. 10.1017/S155192950005442010.1017/S1551929500054420 ↗
6. ISO/TS 21383:2021 · 2021
7. Reimer L. · 1986
8. ISO 22493:2014 · 2014
9. 10.1111/j.1365-2818.1989.tb00582.x10.1111/j.1365-2818.1989.tb00582.x ↗
10. ISO/TS 24597:2011 · 2011
11. 10.1080/1478644790863968410.1080/14786447908639684 ↗
12. Orloff J. · 2017
13. 10.1134/S102745101303010510.1134/S1027451013030105 ↗
14. 10.1017/S143192761501338010.1017/S1431927615013380 ↗
15. 10.1116/1.58411510.1116/1.584115 ↗
16. 10.1002/advs.20251634110.1002/advs.202516341 ↗
17. Postek M. T. · 1996
18. 10.1002/sca.1998.495020010110.1002/sca.1998.4950200101 ↗
19. 10.1002/sca.1998.495020010410.1002/sca.1998.4950200104 ↗
20. 10.1002/sca.495021040410.1002/sca.4950210404 ↗
21. 10.1046/j.1365‐2818.2002.01062.x10.1046/j.1365‐2818.2002.01062.x ↗
22. Rosenberg I. J. · 2002
23. 10.1017/S143192762200022810.1017/S1431927622000228 ↗
24. J.Dijk M.vanGrinkel R. J.vanAsselt L. J.vanVliet andP. W.Verbeek “A New Sharpness Measure Based on Gaussian Lines and Edges ” inComputer Analysis of Images and Patterns: 10th International Conference CAIP 2003 (Springer 2003).10.1007/978-3-540-45179-2_19 ↗
25. B.RiegerandG. N. A.vanVeen “Method to Determine Image Sharpness and Resolution in Scanning Electron Microscopy Images ” inEMC 2008 14th European Microscopy Congress (Springer 2008).10.1007/978-3-540-85156-1_307 ↗
26. Contrast‐to‐gradient Method for the Evaluation of Image Resolution in Scanning Electron Microscopy
27. 10.1093/jmicro/dfm00710.1093/jmicro/dfm007 ↗
28. A Practical Resolution Criterion in Optics and Electron Microscopy
29. D. C.Joy Y.‐U.Ko andJ. J.Hwu “Metrics of Resolution and Performance for CD‐SEMs. Metrology Inspection and Process Control for Microlithography XIV ”3998(SPIE 2000).10.1117/12.386444 ↗
30. ISO/TS 6196‐5:1987 · 1987
31. 10.1088/0034‐4885/55/4/00210.1088/0034‐4885/55/4/002 ↗
32. 10.1093/oso/9780195088748.001.000110.1093/oso/9780195088748.001.0001 ↗
33. 10.1002/sca.495019010110.1002/sca.4950190101 ↗
34. 10.1002/sca.495019010310.1002/sca.4950190103 ↗
35. 10.1088/0022‐3727/41/21/21531010.1088/0022‐3727/41/21/215310 ↗
36. Dapor M. · 2016
37. 10.1016/j.nme.2020.10086210.1016/j.nme.2020.100862 ↗
38. 10.1002/sca.495027050610.1002/sca.4950270506 ↗
39. Li Y. G. · 2011
40. 10.1002/sca.2028810.1002/sca.20288 ↗
41. 10.1016/j.measurement.2018.02.06910.1016/j.measurement.2018.02.069 ↗
42. ISO 21466:2019 · 2019
43. 10.1002/sia.334010.1002/sia.3340 ↗
44. Z.Ruan S. F.Mao P.Zhang H. M.Li andZ. J.Ding “Monte Carlo Simulation of Realistic Beam‐sample Interaction in SEM: Application to Evaluation of Sharpness Measurement Methods ” inScanning Microscopies 2013: Advanced Microscopy Technologies for Defense Homeland Security Forensic Life Environmental and Industrial Sciences(SPIE 2013).10.1117/12.2015357 ↗
45. 10.1364/JOSA.38.00019610.1364/JOSA.38.000196 ↗
46. ISO/TR 19319:2013 · 2013
47. 10.1002/sca.495025040310.1002/sca.4950250403 ↗
48. 10.1126/science.107722910.1126/science.1077229 ↗
49. 10.1021/acs.nanolett.9b0464010.1021/acs.nanolett.9b04640 ↗
50. 10.1002/sca.1996.495018020410.1002/sca.1996.4950180204 ↗
51. Mesh Generation: Application to Finite Elements
52. The Scattering of Fast Electrons by Atomic Nuclei
53. 10.1103/PhysRevA.68.01270810.1103/PhysRevA.68.012708 ↗
54. 10.1016/j.cpc.2004.09.00610.1016/j.cpc.2004.09.006 ↗
55. 10.1016/0010‐4655(75)90054‐510.1016/0010‐4655(75)90054‐5 ↗
56. 10.1088/0022‐3700/6/11/02110.1088/0022‐3700/6/11/021 ↗
57. 10.1103/PhysRevB.35.48210.1103/PhysRevB.35.482 ↗
58. On the Properties of a Gas of Charged Particles
59. 10.1063/1.303356410.1063/1.3033564 ↗
60. 10.1016/0039‐6028(79)90059‐110.1016/0039‐6028(79)90059‐1 ↗
61. Cohen‐Tannoudji C. · 1977
62. 10.1063/1.497219610.1063/1.4972196 ↗
63. 10.1002/sca.2012010.1002/sca.20120 ↗
64. Pawley J. · 2007
65. 10.1007/978-0-387-72972-5_410.1007/978-0-387-72972-5_4 ↗
66. Coding Theorems for a Discrete Source with a Fidelity Criterion
67. 10.1002/sia.208710.1002/sia.2087 ↗
68. Michelson A. A. · 1995