ZEISS arivis Course for 3D &4D Image Analysis

Course completed

As imaging technologies develop, generation of large volumes of imaging data is rapidly becoming the norm. However, acquisition of these datasets is only the first step towards gaining the best possible information from them. Once acquired, these datasets need to be visualised processed and analysed in order to extract quantitative information out of them.

How can these images be analysed efficiently? Can AI help?
During this course you will have the opportunity to explore some of the latest developments in Image analysis and how AI can help your research.

By David Wiles

Dates: 18 / 19 June 2024
Local: Coimbra University – CNC
Organizers: Carl Zeiss Iberia & Coimbra University – MICC- (Microscopy Imaging Center of Coimbra) - CNC (Center for Neuroscience and Cell Biology)

AGENDA 18th June

09:00 - 10:00	Introduction to arivis
10:00 - 10:15	Break
10:15 - 12:00	Part 1 – Introduction to the user interface, importing images and basic image visualisation and enhancements , 3 D visualization.
12:00 - 13:00	Lunch
13:00 - 15:00	Principles of analysis, creating pipelines for analysis, creating DL & ML models
15:00 - 15:30	Break
15:30 - 17:30	Part 3 – Using pipelines in a batch, exporting results, images and videos

AGENDA 19th June

Case Studies - Participants Data Analysis *

09:00 - 10:30	Analysis
10:30 - 11:00	Break
11:00 - 12:30	Analysis
12:30 - 14:00	Lunch
14:00 - 15:30	Analysis
15:30 - 16:00	Break
16:00 - 17:30	Analysis

* Data sets / images (including description of analysis requirements) needs to be sent in advance by 05/06 to: Luisa Cortes, PhD

Participants needs to bring they own Laptop
Minimum requirements:
• Windows 10 Pro 64-bit
• 4-Core x86-compatible CPU
• 8 GB RAM (16 GB recommended)
• GPU with support for OpenGL 4.3 or above and 2 GB of VRAM (e.g. NVidia GeForce 1050 / ATI Radeon RX560)
• 100 GB spare local storage