New biospeckle-based analysis method for surface roughness measurement: ex-vivo experimental study on bovine articular cartilage

Doaa Youssef; Salah Hassab-Elnaby

doi:10.1117/12.2583503

4 October 2020 New biospeckle-based analysis method for surface roughness measurement: ex-vivo experimental study on bovine articular cartilage

Doaa Youssef, Salah Hassab-Elnaby

Author Affiliations +

Proceedings Volume 11575, Biophotonics and Biomedical Microscopy; 115750H (2020) https://doi.org/10.1117/12.2583503
Event: SPIE Photonex and Vacuum Expo, 2020, Online Only

Conference Poster

Abstract

The measurement of surface roughness of biological tissue at microscale and nanoscale is significant to investigate the surface topography, which has been done through contact or non-contact profilometer. Although the contact profilometers provide quantitative analysis, they can easily scratch the biological tissue. While the noncontact profilometer like optical techniques can provide qualitative nondestructive measurements of the surface topography. Biospeckle imaging is a fast and powerful optical method that can only quantitatively evaluate the structure of the illuminated surface if valuable features are extracted from the biospeckle pattern. This study introduces a new fast biospeckle-based quantitative analysis method to measure the nanoscale average surface roughness of bovine articular cartilage tissue. The proposed method comprises feature extraction through local texture analysis by applying morphological operations by dilation and erosion, at different neighborhoods. The efficiency of the proposed method is evaluated on twelve articular cartilage tissue samples having different average surface roughness values.

Conference Presentation

Citation Download Citation

Doaa Youssef and Salah Hassab-Elnaby "New biospeckle-based analysis method for surface roughness measurement: ex-vivo experimental study on bovine articular cartilage", Proc. SPIE 11575, Biophotonics and Biomedical Microscopy, 115750H (4 October 2020); https://doi.org/10.1117/12.2583503

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