Ultra-Fast Processing of Gigapixel Tissue MicroArray Images Using High Performance Computing
Background: Tissue MicroArrays (TMAs) are a valuable platform for tissue based translational research and the discovery of tissue biomarkers. The digitised TMA slides or TMA Virtual Slides, are ultra-large digital images, and can contain several hundred samples. The processing of such slides is time...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2010-01-01
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| Series: | Analytical Cellular Pathology |
| Online Access: | http://dx.doi.org/10.3233/ACP-CLO-2010-0551 |
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| _version_ | 1832550511220359168 |
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| author | Yinhai Wang David McCleary Ching-Wei Wang Paul Kelly Jackie James Dean A. Fennell Peter Hamilton |
| author_facet | Yinhai Wang David McCleary Ching-Wei Wang Paul Kelly Jackie James Dean A. Fennell Peter Hamilton |
| author_sort | Yinhai Wang |
| collection | DOAJ |
| description | Background: Tissue MicroArrays (TMAs) are a valuable platform for tissue based translational research and the discovery of tissue biomarkers. The digitised TMA slides or TMA Virtual Slides, are ultra-large digital images, and can contain several hundred samples. The processing of such slides is time-consuming, bottlenecking a potentially high throughput platform. |
| format | Article |
| id | doaj-art-adb5be4803154da594818a644fa03987 |
| institution | Kabale University |
| issn | 2210-7177 2210-7185 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Analytical Cellular Pathology |
| spelling | doaj-art-adb5be4803154da594818a644fa039872025-02-03T06:06:40ZengWileyAnalytical Cellular Pathology2210-71772210-71852010-01-01335-627128510.3233/ACP-CLO-2010-0551Ultra-Fast Processing of Gigapixel Tissue MicroArray Images Using High Performance ComputingYinhai Wang0David McCleary1Ching-Wei Wang2Paul Kelly3Jackie James4Dean A. Fennell5Peter Hamilton6Centre for Biomedical Informatics, Queen’s University Belfast, Belfast, UKi-Path Diagnostics Ltd., Belfast, UKGraduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, TaiwanDepartment of Pathology, Royal Group of Hospitals, Belfast, UKCentre for Cancer Research and Cell Biology, Queen’s University Belfast, Belfast, UKCentre for Biomedical Informatics, Queen’s University Belfast, Belfast, UKCentre for Biomedical Informatics, Queen’s University Belfast, Belfast, UKBackground: Tissue MicroArrays (TMAs) are a valuable platform for tissue based translational research and the discovery of tissue biomarkers. The digitised TMA slides or TMA Virtual Slides, are ultra-large digital images, and can contain several hundred samples. The processing of such slides is time-consuming, bottlenecking a potentially high throughput platform.http://dx.doi.org/10.3233/ACP-CLO-2010-0551 |
| spellingShingle | Yinhai Wang David McCleary Ching-Wei Wang Paul Kelly Jackie James Dean A. Fennell Peter Hamilton Ultra-Fast Processing of Gigapixel Tissue MicroArray Images Using High Performance Computing Analytical Cellular Pathology |
| title | Ultra-Fast Processing of Gigapixel Tissue MicroArray Images Using High Performance Computing |
| title_full | Ultra-Fast Processing of Gigapixel Tissue MicroArray Images Using High Performance Computing |
| title_fullStr | Ultra-Fast Processing of Gigapixel Tissue MicroArray Images Using High Performance Computing |
| title_full_unstemmed | Ultra-Fast Processing of Gigapixel Tissue MicroArray Images Using High Performance Computing |
| title_short | Ultra-Fast Processing of Gigapixel Tissue MicroArray Images Using High Performance Computing |
| title_sort | ultra fast processing of gigapixel tissue microarray images using high performance computing |
| url | http://dx.doi.org/10.3233/ACP-CLO-2010-0551 |
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