ZEISS on Your Campus

Technology Workshop Increase Productivity with Reliable Results

Using Scalable, AI-driven Image Analysis with ZEISS ARIVIS Pro, Making Your Images Count

Obtaining meaningful data from your microscopy images can be a challenging task. The ZEISS ARIVIS Software Platform provides a highly scalable and flexible digital ecosystem for any image data size and imaging modality. We invite you to join us during this roadshow to learn about the fundamentals of image analysis, the application of powerful AI tools for image segmentation, and how to use the ZEISS ARIVIS software platform to get more results from your valuable data.

Event Details

  • Date: Tuesday, 11th of February, 2025
  • Time: 09:00 am - 4:30 pm
  • Location: Institute for Molecular Bioscience at the University of Queensland, Brisbane.
  • Room: Multi Media Room, Level 3

Highlights of ZEISS Arivis

  • A complete platform for scientic image analysis
  • Work efficiently with Big Data
  • Scalable from desktop/workstation to server and cloud-based AI
  • AI tools for machine learning and deep learning applications
  • Fully configurable analysis pipelines with support for open-source tools (Python, Cellpose, StarDist, etc.)

Agenda

Activity / Topic

09:00 – 9:15:

Coffee and Welcome

09:30 - 10:00:

AI for image analysis - Let’s get started training a deep learning model

10:00 - 11:00:

Arivis Pro Basics: image rendering / image exploration / movies / bookmarks

11:00 - 12:00:

Getting started with 3D Image analysis

12:00 - 12:45:

Lunch Break

13:00 - 14:15:

Advanced tools for image analysis

14:15 - 14:30:

Short Coffee Break

14.30 - 16.30:

Why use AI for image segmentation and AI tools available in Arivis Pro for image segmentation

Register for the Arivis Workshop here

After registering your interest, you will receive:

  • A free copy of ArivisPro to install on your laptop (PC only) with a limited time trial license
  • Instructions for installation
  • Presentation materials and case study data to practice example analysis workflows

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