Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/29392
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- Title
- Optical microscopy imaging and image-analysis issues in laser cleaning
- Related
- Applied physics A : materials science and processing, Vol. 77, Issue 6, p.847-853
- DOI
- 10.1007/s00339-002-2023-2
- Publisher
- Springer
- Date
- 2003
- Author/Creator
- Kane, D. M
- Author/Creator
- Fernandes, A. J
- Author/Creator
- Mildren, R. P
- Description
- In earlier work we characterised single-pulse laser cleaning of medium-density (areal coverage 10–20%) alumina particles from glass surfaces with three different lasers. The method of measuring particle-removal efficiency involves optical microscopy imaging (digital) and subsequent image analysis of the area covered by, and/or the number of, particles before and after the single-pulse laser cleaning treatment. The sample-preparation technique used leads to both single particles and agglomerates on the surface. The issues of depth of focus in the imaging and grey-scale thresholding in the image analysis of such samples, with a range of particle and agglomerate sizes, has been systematically investigated. A protocol for optimum imaging and illumination of such samples is described herein. It has been developed based on the results of a systematic investigation of the effect of the image focal plane position relative to the surface also described herein. The image analysis to quantify the particles on the surface involves a judgement of the best threshold grey-scale level in the image to define the boundary between particles and background substrate. A quantitative appraisal of the impact on the laser cleaning efficiency results of a threshold grey-scale level that is set too high or too low, and how these results compare with those obtained for the "best-judgement" threshold grey-scale level, has been completed.
- Description
- 7 page(s)
- Resource Type
- journal article
- Organisation
- Macquarie University. Dept. of Physics
- Identifier
- http://hdl.handle.net/1959.14/29392
- Identifier
- ISSN:1432-0630
- Identifier
- mq-rm-2003018127
- Language
- eng
- Reviewed
