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Differential confocal over-range determination method based on an information theory.
Applied Optics
|May 3, 2023
Summary
A new differential confocal over-range determination method (IT-ORDM) accurately identifies if sample surface heights are within the effective measurement range. This ensures reliable 3D shape restoration for differential confocal axial measurements.
Area of Science:
- Optical Metrology
- 3D Surface Profilometry
- Confocal Microscopy
Background:
- Existing differential confocal axial 3D measurement lacks a method to verify if sample surface heights are within the effective measurement range.
- This limitation hinders accurate 3D shape determination and data reliability.
Purpose of the Study:
- To propose and validate an information theory-based differential confocal over-range determination method (IT-ORDM).
- To enable precise determination of whether sample surface height data falls within the effective measurement range of differential confocal axial measurements.
Main Methods:
- The IT-ORDM establishes the axial effective measurement range boundaries using the differential confocal axial light intensity response curve.
- It determines effective intensity measurement ranges for pre-focus and post-focus axial response curves (ARC).
- An intersection operation on effective measurement pre-focus and post-focus images extracts the differential confocal image's effective measurement area.
Main Results:
- The IT-ORDM successfully identifies the boundaries of the axial effective measurement range.
- It accurately determines the effective measurement ranges for pre-focus and post-focus ARCs.
- Experimental results demonstrate effective determination and restoration of the 3D sample surface shape at the reference plane.
Conclusions:
- The proposed IT-ORDM effectively addresses the limitation of existing differential confocal axial 3D measurement methods.
- This method ensures the reliability of 3D surface height measurements by confirming data is within the effective range.
- IT-ORDM facilitates accurate 3D shape restoration of sample surfaces.

