Conference proceeding
Bright field segmentation tomography (BFST) for use as surface identification in stereomicroscopy
Proceedings of SPIE, Vol.5324(1), pp.216-223
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XI
07/13/2004
DOI: 10.1117/12.529101
Abstract
Stereomicroscopy is an important method for use in image acquisition because it provides a 3D image of an object when other microscopic techniques can only provide the image in 2D. One challenge that is being faced with this type of imaging is determining the top surface of a sample that has otherwise indistinguishable surface and planar characteristics. We have developed a system that creates oblique illumination and in conjunction with image processing, the top surface can be viewed. The BFST consists of the Leica MZ12 stereomicroscope with a unique attached lighting source. The lighting source consists of eight light emitting diodes (LED's) that are separated by 45-degree angles. Each LED in this system illuminates with a 20-degree viewing angle once per cycle with a shadow over the rest of the sample. Subsequently, eight segmented images are taken per cycle. After the images are captured they are stacked through image addition to achieve the full field of view, and the surface is then easily identified. Image processing techniques, such as skeletonization can be used for further enhancement and measurement. With the use of BFST, advances can be made in detecting surface features from metals to tissue samples, such as in the analytical assessment of pulmonary emphysema using the technique of mean linear intercept.
Details
- Title: Subtitle
- Bright field segmentation tomography (BFST) for use as surface identification in stereomicroscopy
- Creators
- Jacqueline R Thiesse - University of IowaEman Namati - Flinders UniversityJessica de Ryk - University of IowaEric A Hoffman - University of IowaGeoffrey McLennan - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.5324(1), pp.216-223
- Conference
- Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XI
- DOI
- 10.1117/12.529101
- ISSN
- 0277-786X
- Language
- English
- Date published
- 07/13/2004
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Internal Medicine
- Record Identifier
- 9984318812102771
Metrics
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