Volume processing of fluorescent laser confocal microscopic cellular images
The advent of light microscope techniques, together with advances in fluorescent labeling technologies, has revolutionized the study of cellular processes. It has become a pivotal tool that has greatly impacted biological research at cellular and sub-cellular levels with advantages over conventional...
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| Format: | Thesis |
| Language: | English |
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2011
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| Online Access: | https://hdl.handle.net/10356/44598 |
| _version_ | 1826116090218938368 |
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| author | Chandrasekaran Indhumathi |
| author2 | Cai Yiyu |
| author_facet | Cai Yiyu Chandrasekaran Indhumathi |
| author_sort | Chandrasekaran Indhumathi |
| collection | NTU |
| description | The advent of light microscope techniques, together with advances in fluorescent labeling technologies, has revolutionized the study of cellular processes. It has become a pivotal tool that has greatly impacted biological research at cellular and sub-cellular levels with advantages over conventional optical microscopy. However, several unique characteristics of confocal datasets pose serious challenges such as the noise and artifacts developed with confocal data and the intensity attenuation problem due to low axial resolution and light decay with depth. Currently, image processing, modeling, visualization and analysis on confocal microscopic datasets are, however, still done in 2D. In the case of traditional 2D slice-by-slice image processing strategy for the volumetric dataset, the image slices are analyzed only in the 2D plane where as the cross slice details (z axis) got ignored. On the other hand volumetric image processing usually takes into consideration the inter-slice information and also preserves image structures across slices. Hence, instead of using 2D slice-by-slice strategy, treating confocal scanned volumes as a whole has its advantages. In this report we provide a detailed literature study on various image-processing algorithms for confocal cellular image dataset. Our main goal of this research is to develop novel algorithms for 3D image processing methods for confocal cellular image enhancement, object feature extraction and subsequent volume visualization in an interactive and immersive VR environment. |
| first_indexed | 2024-10-01T04:05:42Z |
| format | Thesis |
| id | ntu-10356/44598 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:05:42Z |
| publishDate | 2011 |
| record_format | dspace |
| spelling | ntu-10356/445982023-03-11T17:49:24Z Volume processing of fluorescent laser confocal microscopic cellular images Chandrasekaran Indhumathi Cai Yiyu School of Mechanical and Aerospace Engineering DRNTU::Engineering::Bioengineering The advent of light microscope techniques, together with advances in fluorescent labeling technologies, has revolutionized the study of cellular processes. It has become a pivotal tool that has greatly impacted biological research at cellular and sub-cellular levels with advantages over conventional optical microscopy. However, several unique characteristics of confocal datasets pose serious challenges such as the noise and artifacts developed with confocal data and the intensity attenuation problem due to low axial resolution and light decay with depth. Currently, image processing, modeling, visualization and analysis on confocal microscopic datasets are, however, still done in 2D. In the case of traditional 2D slice-by-slice image processing strategy for the volumetric dataset, the image slices are analyzed only in the 2D plane where as the cross slice details (z axis) got ignored. On the other hand volumetric image processing usually takes into consideration the inter-slice information and also preserves image structures across slices. Hence, instead of using 2D slice-by-slice strategy, treating confocal scanned volumes as a whole has its advantages. In this report we provide a detailed literature study on various image-processing algorithms for confocal cellular image dataset. Our main goal of this research is to develop novel algorithms for 3D image processing methods for confocal cellular image enhancement, object feature extraction and subsequent volume visualization in an interactive and immersive VR environment. DOCTOR OF PHILOSOPHY (MAE) 2011-06-02T07:36:53Z 2011-06-02T07:36:53Z 2011 2011 Thesis Chandrasekaran, I. (2011). Volume processing of fluorescent laser confocal microscopic cellular images. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/44598 10.32657/10356/44598 en 229 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Bioengineering Chandrasekaran Indhumathi Volume processing of fluorescent laser confocal microscopic cellular images |
| title | Volume processing of fluorescent laser confocal microscopic cellular images |
| title_full | Volume processing of fluorescent laser confocal microscopic cellular images |
| title_fullStr | Volume processing of fluorescent laser confocal microscopic cellular images |
| title_full_unstemmed | Volume processing of fluorescent laser confocal microscopic cellular images |
| title_short | Volume processing of fluorescent laser confocal microscopic cellular images |
| title_sort | volume processing of fluorescent laser confocal microscopic cellular images |
| topic | DRNTU::Engineering::Bioengineering |
| url | https://hdl.handle.net/10356/44598 |
| work_keys_str_mv | AT chandrasekaranindhumathi volumeprocessingoffluorescentlaserconfocalmicroscopiccellularimages |