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Published on: June 16, 2018
Atomic force microscopy deep trench and sidewall imaging with an optical fiber probe
Hui Xie1, Danish Hussain1, Feng Yang1
1The State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, 2 Yikuang, 150080 Harbin, China.
This study introduces a novel atomic force microscope (AFM) method using an optical fiber probe (OFP) for precise micro- and nanostructure critical dimension measurement. The technique enables detailed imaging of deep trenches and steep sidewalls, enhancing metrology capabilities.
Area of Science:
- Metrology
- Nanotechnology
- Surface Science
Background:
- Accurate measurement of micro- and nanostructures is crucial for advanced manufacturing.
- Traditional atomic force microscopy (AFM) methods face challenges in imaging deep trenches and steep sidewalls.
Purpose of the Study:
- To develop and demonstrate a novel AFM method for measuring critical dimensions of micro- and nanostructures.
- To enable high-resolution imaging of challenging geometries like deep trenches and steep sidewalls.
Main Methods:
- Utilized an atomic force microscope (AFM) equipped with a long and thin optical fiber probe (OFP).
- Implemented a switch control scheme for flexible feedback control transfer between Z- and Y-axes for sidewall angle measurement.
- Performed serial scans on horizontal surfaces (XY-plane) and sidewalls (YZ-plane).
Main Results:
- Successfully imaged a deep trench (243.5 μm) with tapered walls and a microhole (14.9 μm).
- Characterized a silicon sidewall using a tilted OFP, demonstrating unique profiling capabilities.
- Accurately measured the sidewall angle of an AFM calibration grating (TGZ3) using the switchable scan method.
Conclusions:
- The developed OFP-based AFM method provides a versatile solution for measuring critical dimensions of micro- and nanostructures.
- The technique overcomes limitations of conventional AFM for imaging deep, narrow features and steep sidewalls.
- This advancement offers improved metrology for nanoscale fabrication and characterization.
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