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Optical coherence tomography for process control of laser micromachining.
Markus Wiesner1, Jürgen Ihlemann, Heike H Müller
1Laser-Laboratorium Göttingen e.V., Hans-Adolf-Krebs-Weg 1, D-37077 Göttingen, Germany.
The Review of Scientific Instruments
|April 8, 2010
Summary
Optical coherence tomography (OCT) provides in situ surface imaging for nondestructive evaluation during laser processing. This method is beneficial for challenging samples like optical fibers, offering high resolution for detailed analysis.
Area of Science:
- Materials Science
- Optical Engineering
- Non-destructive Testing
Background:
- Ablative laser processing requires precise monitoring for quality control.
- Traditional surface analysis methods can be time-consuming and destructive.
- In situ characterization is crucial for complex or delicate materials.
Purpose of the Study:
- To present in situ surface imaging using optical coherence tomography (OCT) for nondestructive evaluation (NDE) during ablative laser processing.
- To demonstrate the utility of OCT for analyzing challenging samples like optical fibers.
- To compare OCT imaging with established microscopy techniques.
Main Methods:
- Utilized optical coherence tomography (OCT) for real-time surface imaging.
- Performed ablative laser processing on various samples, including optical fibers.
- Compared OCT images with those obtained from scanning electron microscopy (SEM), reflected-light microscopy, and confocal microscopy.
Main Results:
- Achieved an axial resolution of approximately 126 nm for surface detection.
- Obtained a lateral resolution better than 2.5 micrometers.
- Demonstrated OCT's capability to image high-aspect-ratio structures effectively.
- Showcased the advantage of in situ OCT for difficult-to-handle samples.
Conclusions:
- In situ OCT is a powerful NDE tool for ablative laser processing.
- OCT provides high-resolution surface imaging comparable to SEM and other microscopy techniques.
- The technique is particularly advantageous for analyzing delicate or complex microstructures in real-time.

