Use this URL to cite or link to this record in EThOS: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.500943 |
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Title: | Research and development of automated image segmentation methodologies for high throughput biological assays | ||||
Author: | Fitch, Shaun George |
ISNI:
0000 0004 2669 5832
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Awarding Body: | University of Newcastle Upon Tyne | ||||
Current Institution: | University of Newcastle upon Tyne | ||||
Date of Award: | 2008 | ||||
Availability of Full Text: |
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Abstract: | |||||
Microscopy based phenotypic analysis is a powerful technique for investigating biological mechanisms and molecular signalling networks. For effective analysis high throughput approaches are required to estimate the inherent variability of biological systems. Automated image analysis is essential for processing the large volumes of data involved in the assays. Image segmentation is a critical part of the image analysis but obtaining accurate and reliable automated segmentation remains a challenge. hi my research 1 have worked to address the problem of estimating the foreground of a fluorescent nucleus marker image by identifying relationships between clusters of pixels. This technique is proven to be more effective at identifying the image foregrounc than the standard approach of classifying pixels based upon intensity thresholds.
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Supervisor: | Not available | Sponsor: | Not available | ||
Qualification Name: | Thesis (Ph.D.) | Qualification Level: | Doctoral | ||
EThOS ID: | uk.bl.ethos.500943 | DOI: | Not available | ||
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