Creating Flexible, Customized Solutions for Image Data Management - Abstracts

Introduction to Accelrys Imaging Solutions with Pipeline Pilot Enterprise Server
Tim Moran, Accelrys
September 4, 2008

Organizations spend time and money capturing, analyzing and reviewing images. If these images and associated data cannot be easily retrieved, time, money and knowledge will be wasted. Join us for an introductory overview on the use of data pipelining in imaging workflows. Learn how to create customized and flexible image processing and image data management solutions. Standardize image file formats, meta data and analysis outputs from numerous acquisition systems including high microscopy, high content screening, Atomic Force Microscopy, DICOM and movie files.

Advances in High Content Analysis Data Processing with Pipeline Pilot
Leo Bleicher, BrainCells Inc.; and the Michael Mancini Lab, Baylor College of Medicine
September 9, 2008

High Content analysis offers rich information about the effect of a compound in the context of cells. While most instrument vendors provide software packages, these programs are usually developed for specific assays and their outputs are not very customizable. As a result of these rigid imaging platforms, many organizations struggle to integrate all of their disparate data and produce comprehensive reports that allow for flexible analysis of a broad number of variables. Join us to learn how you can integrate all your image data, including electronic notebook data, images, image acquisition metadata, numerical results, project history data, and chemical and biological data. Develop custom data processing workflows and perform efficient end to end data analysis procedure for all aspects of your HCA assays, including image processing, quality control of data, curve fitting, clustering, modeling and report generation. Incorporate all of these data elements into interactive reports that allow you to ask virtually any question about the results. Superior drill-down capabilities let you examine each plate and individual wells for a multitude of endpoints and easily perform visual verification for quality control. A case study on high content analysis will be presented by the Baylor College of Medicine.

Imaging Solutions for Materials Science
Tim Moran, Accelrys
September 11, 2008

Fundamental materials research has seen rapid growth rates as is witnessed by the large number of recent publications. Developing fast flexible image processing workflows for new research methods has previously been a bottleneck to the process. Join us to learn how to enable the rapid creation and deployment of custom data processing workflows for imaging in material science workflows. Components include tools for learning and clustering, manipulating multidimensional image sets, and enhancing data processing of materials image data sets. Learn about several applications for images and associated data, including:

• Using visual programming for advanced image processing
• Extracting and manipulating objects in images
• Calculating advanced intensity and shape statistics of objects
• Associating objects in multiple images based on spatial proximity to calculate co-localization
• Calucating statistics
• Learning the statistical properties of image regions and use that information for segmentation
• Analyzing and processing images using advanced image morphology
• Analyzing and processing image stacks and sequences
  

Preclinical and Clinical Imaging Workflows
Kurt Scudder, Accelrys and Richard Heath, Accelrys
September 16, 2008

There is a growing need to be able to rapidly develop custom image processing algorithms for preclinical and clinical image data and to utilize these algorithms in integrated automated workflow protocols. Join us as we review a number of case studies in clinical and preclinical image processing and image data management workflows. The webinar will include tissue analysis, model organisms, small animal models and patient image data sets. We will explore fast flexible algorithm development as well sophisticated tools in controlled archiving, reporting and retrieving of image and associated data. A special case study on Managing Clinical Image Data will be presented.