Workshop IMARIS 8: 3D/4D Microscopy Image Analysis Workshop

Take this opportunity to discover the powerful software for 3-D and 4-D image analysis of cells, tissues, organisms or of serial images of any kind of samples. Suitable image files are image series from confocal microscopes or most other microscopes, in 3D or over time. Training will cover all aspects of the software:

Lectures on software modules by Bitplane Applications specialists Steve Chai. 
Hands on exercises (attendee must bring their own laptops or share; information on how to download demo software will be provided) Support, discussions and opportunity to work on your own image files, obtain advice for the best analysis of your data and develop solutions to your research needs.

The workshop will cover the following: 
Basics of Visualization - 3D Volume and surface rendering for surface area analysis
Visualisation Outputs - How to make annotations, snapshots, movies and animations
Colocalisation analyses
Object Tracking & Advanced Statistics - Identifying, classifying, sorting and tracking objects over time (e.g. organisms, cells, vesicules, organelles as chloroplasts or nuclei, protein clusters, viral particles, etc.). How to do 2D / 3D image segmentation and time-lapse analysis in Imaris. Automatic calculation of parameters and statistics.
Filament Tracing - How to trace dendrites, neurons, blood vessels, glandular tubes, actin and tubulin filaments, etc.

We have recently upgraded to Imaris 8 and the upgrade differences will be discussed. A new module, Imaris Cell, was purchased and will be discussed ImarisCell We have recently purchased an additional module, ImarisCell. This module specifically designed for the analysis of 2D, 3D, and 4D images of cells and their components. ImarisCell allows us to extract various parameters of these cell-surface objects, such as cell-surface areas and cell volumes. Allows researchers to map organelles and other cellular components within individual cells, then examine the relationships between those components.

For further information please go to http://www.bitplane.com/imaris. Bring your own data for analysis.

Free to all staff and students.