Microscopy Image Analysis Algorithms for Biological Microstructure Characterization
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The Ohio State University / OhioLINK
2008
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| Online Access: | http://rave.ohiolink.edu/etdc/view?acc_num=osu1211390127 |
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ndltd-OhioLink-oai-etd.ohiolink.edu-osu12113901272021-08-03T05:53:34Z Microscopy Image Analysis Algorithms for Biological Microstructure Characterization Mosaliganti, Kishore Rao Computer Science Electrical Engineering Molecular Biology image analysis phenotyping 3D anatomic reconstruction segmentation <p>Researchers in the medical domain employ microscopy-based image analysis as a tool to make objective, large-scale and verifiable quantitative measurements. The synergistic combination of knowledge on disease pathology with morphological context provided by image analysis leads to a quicker process of discovery. Advancements in medical imaging technologies in combination with the discovery of specific cellular markers have generated datasets that capture very detailed spatial and temporal features. Hence, the onus is on computer science researchers to develop algorithms to process biological imagery and extract relevant information efficiently. Algorithms need to be cognizant of the natural pattern and arrangement unique to biological organization. In this context, this dissertation proposes algorithms for biological microstructure characterization, namely, cell/tissue segmentation and 3D reconstructions of cellular structures.</p><p>At a microscopic resolution, biological structures are composed of cells, red blood corpuscles (RBCs), cytoplasm and other microstructural components. These components are re-arranged in a salient tissue to form unique distributions. Microstructure characterization involves the discovery of feature spaces that estimate and spatially delineate component distributions, wherein the tissue layers naturally appear as salient clusters. The clusters are then be suitably classified to provide tissue region segmentations. However, a comprehensive characterization still requires cellular-level descriptions of the microenvironment in 3D.</p><p>Early efforts in 3D reconstruction of microscopic biological structures have been impeded by the lack of a rigorous cellular segmentation approach. The primary difficulty in this task is that most of nuclei cluster in regions and seemingly overlap. An automated cell segmentation algorithm is presented that incorporates shape models, geodesic image metrics and image tessellations based on gradient cues in splitting overlapping nuclei. The results of the cellular segmentation step are used in conjunction with a cell shape model to interpolate the 3D cellular locations and shapes onto adjacent slices thereby reconstructing cellular structures.</p><p>In this dissertation, data from optical modalities including light, confocal and phase-contrast microscopy are employed to test individual algorithms. Validated results from phenotyping and drug-discovery applications are used to demonstrate the robust performance of these methods.</p> 2008-06-24 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1211390127 http://rave.ohiolink.edu/etdc/view?acc_num=osu1211390127 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
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NDLTD |
| language |
English |
| sources |
NDLTD |
| topic |
Computer Science Electrical Engineering Molecular Biology image analysis phenotyping 3D anatomic reconstruction segmentation |
| spellingShingle |
Computer Science Electrical Engineering Molecular Biology image analysis phenotyping 3D anatomic reconstruction segmentation Mosaliganti, Kishore Rao Microscopy Image Analysis Algorithms for Biological Microstructure Characterization |
| author |
Mosaliganti, Kishore Rao |
| author_facet |
Mosaliganti, Kishore Rao |
| author_sort |
Mosaliganti, Kishore Rao |
| title |
Microscopy Image Analysis Algorithms for Biological Microstructure Characterization |
| title_short |
Microscopy Image Analysis Algorithms for Biological Microstructure Characterization |
| title_full |
Microscopy Image Analysis Algorithms for Biological Microstructure Characterization |
| title_fullStr |
Microscopy Image Analysis Algorithms for Biological Microstructure Characterization |
| title_full_unstemmed |
Microscopy Image Analysis Algorithms for Biological Microstructure Characterization |
| title_sort |
microscopy image analysis algorithms for biological microstructure characterization |
| publisher |
The Ohio State University / OhioLINK |
| publishDate |
2008 |
| url |
http://rave.ohiolink.edu/etdc/view?acc_num=osu1211390127 |
| work_keys_str_mv |
AT mosaligantikishorerao microscopyimageanalysisalgorithmsforbiologicalmicrostructurecharacterization |
| _version_ |
1719427314269290496 |