Efficient visualization and reconstruction of 3D geometric models from neuro-biological confocal microscope scans
نویسنده
چکیده
Acknowledgements The work described in this thesis has been carried out from 1997 to 2002 at the department of Scientific Visualization of the Zuse Institute Berlin (ZIB). First of all, I would like to thank my tutors Prof. Dr. Peter Deuflhard and Hans-Christian Hege for the opportunity to work in this exciting interdisciplinary field. Without their constant support this work would not have been possible. The creative and collaborative atmosphere at ZIB has been key for me to ongoing motivation and scientific as well as personal inspiration. I would like to thank all ZIB members and ex-members for numerous fruitful discussions, suggestions , and practical help offered every day. Special thanks deserves Detlev Stalling for helping me to develop and implement many ideas presented in this work and Steffen Prohaska who implemented most of the skeletonization algorithms.
منابع مشابه
Target detection Bridge Modelling using Point Cloud Segmentation Obtained from Photogrameric UAV
In recent years, great efforts have been made to generate 3D models of urban structures in photogrammetry and remote sensing. 3D reconstruction of the bridge, as one of the most important urban structures in transportation systems, has been neglected because of its geometric and structural complexity. Due to the UAV technology development in spatial data acquisition, in this study, the point cl...
متن کاملBlind Deconvolution in 3d Biological Microscopy
Confocal microscopy o ers several advantages over conventional optical microscopy with its small depth-ofeld, its reduction of out-of-focus blur, and its full three-dimensional (3D) image scanning ability. For biomedical applications, it can also acquire images of living cells, usually labeled with one or more uorescent probes. The confocal laser scanning microscope (CLSM) is an optical uoresce...
متن کاملReal-time True-color Volume Visualization of Multi-channel 3D CLSM Images Based on CUDA
Confocal laser scanning microscope (CLSM) can obtain multichannel 3D images from biological tissues for analysis of tissue structures, where each channel results from a particular fluorescent label. The visualization of the multi-channel 3D confocal microscope images is required for qualitative, interactive, and even quantitative analysis of the structures of the studied tissues. Despite the av...
متن کاملA Novel Toolbox for Generating Realistic Biological Cell Geometries for Electromagnetic Microdosimetry
Researchers in bioelectromagnetics often require realistic tissue, cellular and sub-cellular geometry models for their simulations. However, biological shapes are often extremely irregular, while conventional geometrical modeling tools on the market cannot meet the demand for fast and efficient construction of irregular geometries. We have designed a free, user-friendly tool in MATLAB that comb...
متن کاملSemi-automatic Quality Determination of 3d Confocal Microscope Scans of Neuronal Cells Denoised by 3d-wavelet Shrinkage
The main goal of this work is to denoise 3D confocal microscope scans of neuronal cells taken at high resolution such that neuronal structures of size smaller than 1m become visible. Although scanning confocal microscopes give much clearer images than ordinary light microscopes do, the images are still noisy and blurred. Our goal is to lter out the noise in these images without disturbing the s...
متن کامل