Computer processing and visualization of confocal microscopy images

TANG Min; WANG Hui-nan

LASER TECHNOLOGY > 2007 > 31(5): 558-560.

TANG Min, WANG Hui-nan. Computer processing and visualization of confocal microscopy images[J]. LASER TECHNOLOGY, 2007, 31(5): 558-560.

Citation:

TANG Min, WANG Hui-nan. Computer processing and visualization of confocal microscopy images[J]. LASER TECHNOLOGY, 2007, 31(5): 558-560.

Citation:

TANG Min, WANG Hui-nan. Computer processing and visualization of confocal microscopy images[J]. LASER TECHNOLOGY, 2007, 31(5): 558-560.

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Computer processing and visualization of confocal microscopy images

TANG Min^1,2,
WANG Hui-nan^1, ,

1.
College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China;
2.
College of Electrical Engineering, Nantong University, Nantong 226007, China

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Received Date: August 15, 2006
Revised Date: November 05, 2006
Published Date: October 24, 2007

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The methodology was proposed for image processing and interactive visualization of confocal microscopy images.Firstly,an intensity compensation algorithm was applied to reduce noises resulted from light absorption and scattering by objects and particles in the volume through which light passes.Secondly,a deconvolution algorithm based on maximum a posteriori was applied to improve the image stacks quality.At last,the ray-casting algorithm was used to reconstruct the fine details in the volume.Furthermore,virtual reality technique was integrated with volume rendering in order to provide users an intuitive interface to view the cells and its structures through translation,rotation and zoom operations.The speed and versatility of the program allows for convenient,fast,interactive examination of unknown cell structures even on common PC.The program can be applied for different types of confocal microscopy data sets with good results.
- image processing,
- visualization in scientific computing,
- virtual reality,
- laser scanning confocal microscopy

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References

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Computer processing and visualization of confocal microscopy images

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