Image Stitching of Large Specimens Using Automated Stages
Presenter: Nicholas Beavers, Applications Specialist with Media Cybernetics
September 12, 2008
Friday, 10:30 am, Pacific (California)
Open Streaming File | Download File (177 Mb)
Because the size of histology and pathology specimens generally exceed the field of view of the microscope, clinicians and researchers are often confronted with making a tradeoff between field-of-view (low magnification) and ability to resolve small image details (high magnification). In either case, the relationship between microscopic features and overall structure is lost. A powerful new method, however, allows rapid and easy scanning of entire specimens under high magnification. Automatic assembly ('stitching') of the scanned images into an individual continuous image provides the ability to survey the overall structure, while preserving the very high-resolution information. At this interactive webinar, attendees will see how such a system operates and will be shown some of the many ways images can be explored, measured, presented, and archived.
Subjects include:
- Configuring a microscope to perform rapid scanning and tiling
- User options and their implications on acquired image data
- Image processing for enhancing image quality
- Exploration, analysis, and annotation of images
- Archival and databasing of images
Bring your questions to this live, interactive web-based seminar.
Provided free of charge, this webinar is sponsored by MAG, the Microimaging Applications Group. MAG is a group of imaging companies who work together to provide an unparalleled range of microimaging solutions to science and industry.
About the Presenter
Nicholas Beavers is an Applications Specialist with Media Cybernetics, providers of the InVivo, Image Pro and AutoQuant families of image acquisition, processing, and analysis software. Nick has extensive hands-on experience in the configuration and programming of complex image acquisition systems for performing quantitative live-cell studies.
