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Microsphere-assisted, nanospot, non-destructive metrology for semiconductor devices
Soonyang Kwon1, Jangryul Park1, Kwangrak Kim1
1Equipment R&D Team 4, Mechatronics Research, Samsung Electronics Co., Ltd., 1-1 Samsungjeonja-ro, Hwaseong-si, Gyeonggi-do, 18848, Republic of Korea.
Light, Science & Applications
|February 8, 2022
Summary
This study introduces a novel microsphere-assisted spectral metrology system. It achieves ultra-small spot sizes (~210nm) for precise in-cell critical dimension measurements in advanced semiconductor devices.
Area of Science:
- Semiconductor metrology
- Optical physics
- Nanotechnology
Background:
- Semiconductor industry trends towards smaller structures and 3D integration.
- Optical metrology, including spectroscopic ellipsometry (SE), is crucial for 3D structure measurements.
- Existing SE techniques require smaller spot sizes to measure in-cell critical dimension (CD) variations in dynamic random-access memory (DRAM).
Purpose of the Study:
- To develop an ultra-small spot spectral metrology system for advanced semiconductor devices.
- To overcome the limitations of current SE spot size for in-cell CD variation monitoring.
- To enable precise metrology for next-generation memory and logic devices.
Main Methods:
- Utilized a microsphere-assisted super-resolution effect for spectral metrology.
- Achieved an extremely small spot diameter of approximately 210 nm.
- Developed a geometric model to optimize imaging quality by calculating magnification and depth of focus.
Main Results:
- Demonstrated an ultra-small spot spectral metrology system with a ~210 nm spot diameter.
- Maintained a high signal-to-noise ratio with the reduced spot size.
- Verified the system's effectiveness through simulations and experiments on various samples.
Conclusions:
- The microsphere-assisted spectral metrology technique offers a solution for monitoring in-cell CD variations.
- This ultra-small spot metrology capability is vital for advanced logic and memory devices.
- The developed geometric model aids in optimizing the metrology system for superior imaging quality.

