SlideShare uma empresa Scribd logo
1 de 25
Utilization of HPC
in Cancer Research
Dave Billiter, PMP
Director-Research Informatics Core
The Research Institute at Nationwide
Children’s Hospital, Columbus, OH
Presentation Overview
 Introduction
 Research Informatics and Imaging Core
 Infrastructure
 Image Analysis
 Hypothesis
 Microsoft HPC
 Conclusion
The Research Institute at Nationwide
Children’s Hospital
Research Informatics Core Mission
The Research Informatics Core of The
Research Institute at Nationwide Children’s
Hospital, under the vision of Dr. Stephen J.
Qualman and direction of Dr. Nilsa Ramirez,
is an informatics application development
team dedicated to increasing cure rates and
decreasing side effects in therapy through
innovation of information technology.
http://informatics.nchresearch.org/
Informatics Core Team
 Dave Billiter, PMP- Informatics Director
 Tom Barr- Imaging Manager
 Bob Neville- Senior Software Developer
 Scott Hargrose- Software Developer/DBA
 Bill Beyer- Software Developer/Business Analyst
 Heather Bao- Software Developer
 Heather Day- Project Manager
 Subha Krishnamachary- Software Developer
 Andy Fox- Software Developer
 Mark Plaskow- Software Architect
 Eric Kramer- Data Architect
 Jason Weis- QA/QC
Informatics Core Capabilities
 Custom Application Development
 Informatics Consulting
 Solution Analysis
 Data and Environment Integration
 Project Management
 Systems Architecture
 Web Site Development
Informatics Core Technology
 Microsoft .NET Framework (.NET Suite)
 MS SQL Server 2000/2005/2008 (6.5/7)
 MS Access 97/2000/2003/2007
 MS Team Foundation Server
 MySQL
 Oracle
 ColdFusion
 Java
 Ruby/Ruby On Rails
 Aperio ScanScope and Image Software
 Linux/Apache/PHP/JSP
 Freezerworks
Informatics Core “Clients”
 Center for Childhood
Cancer Investigators
 Children’s Oncology
Group (COG)
 Gynecologic Oncology
Group (GOG)
 Cooperative Human
Tissue Network (CHTN)
 Childhood Cancer
Survival Studies (CCSS)
 Cancer Therapy
Evaluation Program
(CTEP)
 Center for Innovation in
Pediatric Practice
 Biobehavioral Health
 Nationwide Children’s
Hospital
 NCI Group Banking
Committee (GBC)
 NCI Cancer Genome
Atlas Project
 Biopathology Center
(BPC)
 The Lance Armstrong
Foundation
Imaging Core
 Multidisciplinary team
 Imaging services to enhance biomedical research for
multiple national cooperative groups and other
researchers
 Currently work with over 30 pathologists
 Focus Areas
 Pathology Imaging
 Automated Pathology Review Applications
 Digital Slide Conferencing
 Image Architecture Analysis & Development
 Digitized Pathology Reports
 Online capture of pathology review data
Infrastructure-Hardware
Ohio Supercomputer Center (OSC)
 IBM x3455 1U server featuring 1 dual-core
AMD 2.4GHz Opteron processor, with 2GB of
main memory, and a pair of 70 GB mirrored
SATA drives for system software and swap
space.
 Motherboard has a total of 4 processor
sockets, and is capable of being populated
with quad-core processors in each socket, for
a total of 16 cores.
 Linked to a DDN 8500 SAN (25 TBs), provides
storage for application executables and data.
Infrastructure - Software
 The operating system is Microsoft HPC Server
2008, based on Windows Server 2008 64-bit
Edition
 Built to scale to thousands of cores
 Features cluster management tools, support
for third-party clustered file systems, advanced
failover capabilities, service-oriented
architecture (SOA) job scheduler.
Infrastructure - Software
 Also includes remote direct memory access
interface, and cluster interoperability through
standards such as High Performance
Computing Basic Profile specification
produced by the Open Grid Forum.
 Combines the operating system with a
message passing interface and a job
scheduler into a single package.
HPC Cancer Research-Imaging
Image Analysis
 Anaplasia
 Mitotic Index
 Necrosis
 Impact of Chemotherapy in Radiology
Modalities
Whole-Slide Image
 Tissue Microarray
 Several patient’s materials on one glass
slide
 Easily compare staining characteristics
of several tumors
Image Analysis
 Whole-Slide (Image) Search
Image Analysis
 Whole-Slide Image Processing
Image Analysis
 Pattern of pixels for Nuclei and ability to locate
abnormal clustering.
Image Analysis
 Algorithms applied to both solid and liquid
diseases.
HPC Cancer Research Hypothesis
 The association and utilization of a high
performance computing environment
within cancer research will enhance
detection and optimize the pathology
review process thus allowing for rapid
and specific patient therapy.
Why Microsoft HPC?
INTEGRATION
 Current Windows based vendor
applications.
 Familiarity with Informatics development
environment.
 Windows access to image files stored in
Linux-based storage share.
 Performance.
Microsoft HPC Challenges
Local Microsoft HPC subject matter expertise.
 DEP (Data Execution Prevention)
 MS OS’s like Vista and Server 2008 are very
(overly?) security conscious and install with all
security features enforced – including DEP!
 Error messages from application services that
refused to start/stay running did not relate to
DEP; implication of DEP had to be deduced.
Accomplished
 Successful installation and execution of
Aperio apps (DSC, Spectrum,
ImageScope, ImageServer).
 Successful installation and execution of
Apache web server, configuration of
Apache to co-exist with IIS.
 Configuring path to image storage
shares.
In Process and Future Activities
 Installation of Aperio DataServer, configuration
of DataServer and ImageServer.
 Will need to modify algorithms to write analysis
results to Aperio database & relate to other
image metadata.
 Modify Aperio database to accept additional
algorithm output.
 Modify Spectrum to display analysis metadata,
easily reference annotated images.
Acknowledgements
 Brian Hammond- Microsoft HPC
 Kevin Wohlever- OSC
 Lin Li- OSC
 Bill Beyer- RIC
 Mark Plaskow- RIC
 Tom Barr- Biopathology Imaging Core
 Dr. Kathy Nicol- Natiowide Children’s
Hospital
Conclusion
 Questions & Answers
THANK YOU!!!!

Mais conteúdo relacionado

Semelhante a Utilization of hpc in cancer research 2008 ric

Tony Reid Resume
Tony Reid ResumeTony Reid Resume
Tony Reid Resume
storyhome
 
Biostatistics & Bioinformatics
Biostatistics & BioinformaticsBiostatistics & Bioinformatics
Biostatistics & Bioinformatics
gumccomm
 
Cloud and Bid data Dr.VK.pdf
Cloud and Bid data Dr.VK.pdfCloud and Bid data Dr.VK.pdf
Cloud and Bid data Dr.VK.pdf
kalai75
 
Vre ci presentation -ric workshop - july 26th
Vre ci presentation -ric workshop - july 26thVre ci presentation -ric workshop - july 26th
Vre ci presentation -ric workshop - july 26th
djmichael156
 
Advanced Research Computing at York
Advanced Research Computing at YorkAdvanced Research Computing at York
Advanced Research Computing at York
Ming Li
 
Semantic enrichment and similarity approximation for biomedical sequence images
Semantic enrichment and similarity approximation for biomedical sequence imagesSemantic enrichment and similarity approximation for biomedical sequence images
Semantic enrichment and similarity approximation for biomedical sequence images
Syed Ahmad Chan Bukhari, PhD
 

Semelhante a Utilization of hpc in cancer research 2008 ric (20)

Tony Reid Resume
Tony Reid ResumeTony Reid Resume
Tony Reid Resume
 
FC Brochure & Insert
FC Brochure & InsertFC Brochure & Insert
FC Brochure & Insert
 
Streaming analytics
Streaming analyticsStreaming analytics
Streaming analytics
 
Maoye resume 2017_1_v10_short
Maoye resume 2017_1_v10_shortMaoye resume 2017_1_v10_short
Maoye resume 2017_1_v10_short
 
Biostatistics & Bioinformatics
Biostatistics & BioinformaticsBiostatistics & Bioinformatics
Biostatistics & Bioinformatics
 
Cloud and Bid data Dr.VK.pdf
Cloud and Bid data Dr.VK.pdfCloud and Bid data Dr.VK.pdf
Cloud and Bid data Dr.VK.pdf
 
Vre ci presentation -ric workshop - july 26th
Vre ci presentation -ric workshop - july 26thVre ci presentation -ric workshop - july 26th
Vre ci presentation -ric workshop - july 26th
 
iMicrobe and iVirus: Extending the iPlant cyberinfrastructure from plants to ...
iMicrobe and iVirus: Extending the iPlant cyberinfrastructure from plants to ...iMicrobe and iVirus: Extending the iPlant cyberinfrastructure from plants to ...
iMicrobe and iVirus: Extending the iPlant cyberinfrastructure from plants to ...
 
AI Scalability for the Next Decade
AI Scalability for the Next DecadeAI Scalability for the Next Decade
AI Scalability for the Next Decade
 
Advanced Research Computing at York
Advanced Research Computing at YorkAdvanced Research Computing at York
Advanced Research Computing at York
 
Ibm watson - who what why
Ibm   watson - who what whyIbm   watson - who what why
Ibm watson - who what why
 
217954603 srs-hos-informantion-system
217954603 srs-hos-informantion-system217954603 srs-hos-informantion-system
217954603 srs-hos-informantion-system
 
A Workflow-Driven Discovery and Training Ecosystem for Distributed Analysis o...
A Workflow-Driven Discovery and Training Ecosystem for Distributed Analysis o...A Workflow-Driven Discovery and Training Ecosystem for Distributed Analysis o...
A Workflow-Driven Discovery and Training Ecosystem for Distributed Analysis o...
 
Semantic enrichment and similarity approximation for biomedical sequence images
Semantic enrichment and similarity approximation for biomedical sequence imagesSemantic enrichment and similarity approximation for biomedical sequence images
Semantic enrichment and similarity approximation for biomedical sequence images
 
Efficiency and Effectiveness: Shared services to support STEM subjects
Efficiency and Effectiveness: Shared services to support STEM subjectsEfficiency and Effectiveness: Shared services to support STEM subjects
Efficiency and Effectiveness: Shared services to support STEM subjects
 
Virtual Research Environment for Cancer Imaging
Virtual Research Environment for Cancer ImagingVirtual Research Environment for Cancer Imaging
Virtual Research Environment for Cancer Imaging
 
Graphical Data Analytic Workflows and Cross-Platform Optimization
Graphical Data Analytic Workflows and Cross-Platform OptimizationGraphical Data Analytic Workflows and Cross-Platform Optimization
Graphical Data Analytic Workflows and Cross-Platform Optimization
 
Ανδρέας Τσαγκάρης, 5th Digital Banking Forum
Ανδρέας Τσαγκάρης, 5th Digital Banking ForumΑνδρέας Τσαγκάρης, 5th Digital Banking Forum
Ανδρέας Τσαγκάρης, 5th Digital Banking Forum
 
Power AI introduction
Power AI introductionPower AI introduction
Power AI introduction
 
Uses of Data Lakes
Uses of Data Lakes Uses of Data Lakes
Uses of Data Lakes
 

Mais de BIT002

Utilization of virtual microscopy in a cooperative group setting
Utilization of virtual microscopy in a cooperative group settingUtilization of virtual microscopy in a cooperative group setting
Utilization of virtual microscopy in a cooperative group setting
BIT002
 
Infrastructure for digital pathology in a tissue bank
Infrastructure for digital pathology in a tissue bankInfrastructure for digital pathology in a tissue bank
Infrastructure for digital pathology in a tissue bank
BIT002
 
Finding cancerous anaplastic cells with image analysis
Finding cancerous anaplastic cells with image analysisFinding cancerous anaplastic cells with image analysis
Finding cancerous anaplastic cells with image analysis
BIT002
 
Biological sciences cancer microscopy and microarray database
Biological sciences cancer microscopy and microarray databaseBiological sciences cancer microscopy and microarray database
Biological sciences cancer microscopy and microarray database
BIT002
 
Automated quality assurance in whole slide pathology images blurred region de...
Automated quality assurance in whole slide pathology images blurred region de...Automated quality assurance in whole slide pathology images blurred region de...
Automated quality assurance in whole slide pathology images blurred region de...
BIT002
 
A pilot to quantitate plancental b catenin using morphometric analysis of tis...
A pilot to quantitate plancental b catenin using morphometric analysis of tis...A pilot to quantitate plancental b catenin using morphometric analysis of tis...
A pilot to quantitate plancental b catenin using morphometric analysis of tis...
BIT002
 
Integrated workflow for digital pathology ina biospecimen repository enviornment
Integrated workflow for digital pathology ina biospecimen repository enviornmentIntegrated workflow for digital pathology ina biospecimen repository enviornment
Integrated workflow for digital pathology ina biospecimen repository enviornment
BIT002
 

Mais de BIT002 (7)

Utilization of virtual microscopy in a cooperative group setting
Utilization of virtual microscopy in a cooperative group settingUtilization of virtual microscopy in a cooperative group setting
Utilization of virtual microscopy in a cooperative group setting
 
Infrastructure for digital pathology in a tissue bank
Infrastructure for digital pathology in a tissue bankInfrastructure for digital pathology in a tissue bank
Infrastructure for digital pathology in a tissue bank
 
Finding cancerous anaplastic cells with image analysis
Finding cancerous anaplastic cells with image analysisFinding cancerous anaplastic cells with image analysis
Finding cancerous anaplastic cells with image analysis
 
Biological sciences cancer microscopy and microarray database
Biological sciences cancer microscopy and microarray databaseBiological sciences cancer microscopy and microarray database
Biological sciences cancer microscopy and microarray database
 
Automated quality assurance in whole slide pathology images blurred region de...
Automated quality assurance in whole slide pathology images blurred region de...Automated quality assurance in whole slide pathology images blurred region de...
Automated quality assurance in whole slide pathology images blurred region de...
 
A pilot to quantitate plancental b catenin using morphometric analysis of tis...
A pilot to quantitate plancental b catenin using morphometric analysis of tis...A pilot to quantitate plancental b catenin using morphometric analysis of tis...
A pilot to quantitate plancental b catenin using morphometric analysis of tis...
 
Integrated workflow for digital pathology ina biospecimen repository enviornment
Integrated workflow for digital pathology ina biospecimen repository enviornmentIntegrated workflow for digital pathology ina biospecimen repository enviornment
Integrated workflow for digital pathology ina biospecimen repository enviornment
 

Último

Último (20)

08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
How to convert PDF to text with Nanonets
How to convert PDF to text with NanonetsHow to convert PDF to text with Nanonets
How to convert PDF to text with Nanonets
 
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemkeProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke
 
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organizationScaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
 
Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024Finology Group – Insurtech Innovation Award 2024
Finology Group – Insurtech Innovation Award 2024
 
Automating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps ScriptAutomating Google Workspace (GWS) & more with Apps Script
Automating Google Workspace (GWS) & more with Apps Script
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
GenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdfGenAI Risks & Security Meetup 01052024.pdf
GenAI Risks & Security Meetup 01052024.pdf
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
Evaluating the top large language models.pdf
Evaluating the top large language models.pdfEvaluating the top large language models.pdf
Evaluating the top large language models.pdf
 
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdfTech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdf
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected WorkerHow to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
 
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
Raspberry Pi 5: Challenges and Solutions in Bringing up an OpenGL/Vulkan Driv...
 

Utilization of hpc in cancer research 2008 ric

  • 1. Utilization of HPC in Cancer Research Dave Billiter, PMP Director-Research Informatics Core The Research Institute at Nationwide Children’s Hospital, Columbus, OH
  • 2. Presentation Overview  Introduction  Research Informatics and Imaging Core  Infrastructure  Image Analysis  Hypothesis  Microsoft HPC  Conclusion
  • 3. The Research Institute at Nationwide Children’s Hospital
  • 4. Research Informatics Core Mission The Research Informatics Core of The Research Institute at Nationwide Children’s Hospital, under the vision of Dr. Stephen J. Qualman and direction of Dr. Nilsa Ramirez, is an informatics application development team dedicated to increasing cure rates and decreasing side effects in therapy through innovation of information technology. http://informatics.nchresearch.org/
  • 5. Informatics Core Team  Dave Billiter, PMP- Informatics Director  Tom Barr- Imaging Manager  Bob Neville- Senior Software Developer  Scott Hargrose- Software Developer/DBA  Bill Beyer- Software Developer/Business Analyst  Heather Bao- Software Developer  Heather Day- Project Manager  Subha Krishnamachary- Software Developer  Andy Fox- Software Developer  Mark Plaskow- Software Architect  Eric Kramer- Data Architect  Jason Weis- QA/QC
  • 6. Informatics Core Capabilities  Custom Application Development  Informatics Consulting  Solution Analysis  Data and Environment Integration  Project Management  Systems Architecture  Web Site Development
  • 7. Informatics Core Technology  Microsoft .NET Framework (.NET Suite)  MS SQL Server 2000/2005/2008 (6.5/7)  MS Access 97/2000/2003/2007  MS Team Foundation Server  MySQL  Oracle  ColdFusion  Java  Ruby/Ruby On Rails  Aperio ScanScope and Image Software  Linux/Apache/PHP/JSP  Freezerworks
  • 8. Informatics Core “Clients”  Center for Childhood Cancer Investigators  Children’s Oncology Group (COG)  Gynecologic Oncology Group (GOG)  Cooperative Human Tissue Network (CHTN)  Childhood Cancer Survival Studies (CCSS)  Cancer Therapy Evaluation Program (CTEP)  Center for Innovation in Pediatric Practice  Biobehavioral Health  Nationwide Children’s Hospital  NCI Group Banking Committee (GBC)  NCI Cancer Genome Atlas Project  Biopathology Center (BPC)  The Lance Armstrong Foundation
  • 9. Imaging Core  Multidisciplinary team  Imaging services to enhance biomedical research for multiple national cooperative groups and other researchers  Currently work with over 30 pathologists  Focus Areas  Pathology Imaging  Automated Pathology Review Applications  Digital Slide Conferencing  Image Architecture Analysis & Development  Digitized Pathology Reports  Online capture of pathology review data
  • 10. Infrastructure-Hardware Ohio Supercomputer Center (OSC)  IBM x3455 1U server featuring 1 dual-core AMD 2.4GHz Opteron processor, with 2GB of main memory, and a pair of 70 GB mirrored SATA drives for system software and swap space.  Motherboard has a total of 4 processor sockets, and is capable of being populated with quad-core processors in each socket, for a total of 16 cores.  Linked to a DDN 8500 SAN (25 TBs), provides storage for application executables and data.
  • 11. Infrastructure - Software  The operating system is Microsoft HPC Server 2008, based on Windows Server 2008 64-bit Edition  Built to scale to thousands of cores  Features cluster management tools, support for third-party clustered file systems, advanced failover capabilities, service-oriented architecture (SOA) job scheduler.
  • 12. Infrastructure - Software  Also includes remote direct memory access interface, and cluster interoperability through standards such as High Performance Computing Basic Profile specification produced by the Open Grid Forum.  Combines the operating system with a message passing interface and a job scheduler into a single package.
  • 13. HPC Cancer Research-Imaging Image Analysis  Anaplasia  Mitotic Index  Necrosis  Impact of Chemotherapy in Radiology Modalities
  • 14. Whole-Slide Image  Tissue Microarray  Several patient’s materials on one glass slide  Easily compare staining characteristics of several tumors
  • 16. Image Analysis  Whole-Slide Image Processing
  • 17. Image Analysis  Pattern of pixels for Nuclei and ability to locate abnormal clustering.
  • 18. Image Analysis  Algorithms applied to both solid and liquid diseases.
  • 19. HPC Cancer Research Hypothesis  The association and utilization of a high performance computing environment within cancer research will enhance detection and optimize the pathology review process thus allowing for rapid and specific patient therapy.
  • 20. Why Microsoft HPC? INTEGRATION  Current Windows based vendor applications.  Familiarity with Informatics development environment.  Windows access to image files stored in Linux-based storage share.  Performance.
  • 21. Microsoft HPC Challenges Local Microsoft HPC subject matter expertise.  DEP (Data Execution Prevention)  MS OS’s like Vista and Server 2008 are very (overly?) security conscious and install with all security features enforced – including DEP!  Error messages from application services that refused to start/stay running did not relate to DEP; implication of DEP had to be deduced.
  • 22. Accomplished  Successful installation and execution of Aperio apps (DSC, Spectrum, ImageScope, ImageServer).  Successful installation and execution of Apache web server, configuration of Apache to co-exist with IIS.  Configuring path to image storage shares.
  • 23. In Process and Future Activities  Installation of Aperio DataServer, configuration of DataServer and ImageServer.  Will need to modify algorithms to write analysis results to Aperio database & relate to other image metadata.  Modify Aperio database to accept additional algorithm output.  Modify Spectrum to display analysis metadata, easily reference annotated images.
  • 24. Acknowledgements  Brian Hammond- Microsoft HPC  Kevin Wohlever- OSC  Lin Li- OSC  Bill Beyer- RIC  Mark Plaskow- RIC  Tom Barr- Biopathology Imaging Core  Dr. Kathy Nicol- Natiowide Children’s Hospital
  • 25. Conclusion  Questions & Answers THANK YOU!!!!