Adaptive image-processing technique and effective visualization of confocal microscopy images
| Autor: | Yinlong Sun, Bartek Rajwa, J. Paul Robinson |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Histology
Light Computer science Image processing Sharpening computer.software_genre Light scattering 3D rendering law.invention Optics Confocal microscopy law Voxel Image Processing Computer-Assisted Scattering Radiation Instrumentation Microscopy Confocal business.industry Volume rendering Visualization Medical Laboratory Technology Eichhornia Anatomy business computer Algorithms |
| Zdroj: | Microscopy Research and Technique. 64:156-163 |
| ISSN: | 1097-0029 1059-910X |
| DOI: | 10.1002/jemt.20064 |
| Popis: | A common observation about confocal microscopy images is that lower image stacks have lower voxel intensities and are usually blurred in comparison with the upper ones. The key reasons are light absorption and scattering by the objects and particles in the volume through which light passes. This report proposes a new technique to reduce such noise impacts in terms of an adaptive intensity compensation and structural sharpening algorithm. With these image-processing procedures, effective 3D rendering techniques can be applied to faithfully visualize confocal microscopy data. |
| Databáze: | OpenAIRE |
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