Noise reduction and 3D visualization of confocal microscopy images

Yinlong Sun; Qiqi Wang; Haiying Xu; J. Paul Robinson; Bartek P. Rajwa

doi:10.1117/12.543424

21 May 2004 Noise reduction and 3D visualization of confocal microscopy images

Yinlong Sun, Qiqi Wang, Haiying Xu, J. Paul Robinson, Bartek P. Rajwa

Proceedings Volume 5299, Computational Imaging II; (2004) https://doi.org/10.1117/12.543424
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

In confocal microscopy images, a common observation 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 paper proposes a new technique to reduce such noise impacts in terms of an adaptive intensity compensation and image-sharpening algorithm. With these image-processing procedures, advanced 3D volume-rendering techniques can be applied to more faithfully visualize confocal microscopy images.

Citation Download Citation

Yinlong Sun, Qiqi Wang, Haiying Xu, J. Paul Robinson, and Bartek P. Rajwa "Noise reduction and 3D visualization of confocal microscopy images", Proc. SPIE 5299, Computational Imaging II, (21 May 2004); https://doi.org/10.1117/12.543424

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