Continuing Education

4 Day Course in Image Analysis for Industry

About the course

Designing Efficient Imaging Workflows

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Registration deadline : January 12, 2026. Number of participants is limited

From real-time inspection to quantification, imaging is omnipresent in R&D, engineering, manufacturing, and life sciences — spanning scales, processes, and applications. Driven by advances in high resolution, high-dimensional imaging technologies and by the implementation of machine learning, image data has become significantly more powerful.

Building on the core principles of image processing, how to combine imaging, engineering, and deep learning to design more effective image analysis workflows that support higher quality control and more efficient automation? How can we unlock new opportunities for AI powered imaging, while addressing related risks and challenges?

More info & registration

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Details

General information

Target audience

Engineers, technicians, CTOs, R&D consultants, and scientists who use imaging (in engineering, life sciences, manufacturing, and related fields) and are seeking to gain skills in image analysis algorithms and AI-based approaches.

Objectives

Gain insights into cutting-edge imaging techniques and into the latest trends shaping the imaging industry

Develop the visual expertise required to capture, process, enhance, and interpret image data

Acquire hands-on skills in open-source software and AI models for effective image analysis

Explore the opportunities and risks involved in designing AI-powered image analysis workflows

Learn the best practices

Program

DAY 1 - Working with Image Data

Integrative Imaging, Image Quality, and Visual Expertise Development

Image Processing: From Operators to Convolutional Neural Network (CNN)

Workshop: Handling and Visualization of Multidimensional Images (3D/Time) with Open-Source Software (e.g.: ImageJ/FIJI/Napari)

Industry Expert Presentation: Trends in Imaging, Project Management, and System Deployment

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DAY 2 - Mastering Image Analysis

Image Quantification, Extraction of Visual Features, and Object Detection

Strategies to Solve Image Analysis Problems
Workshop: Building an Image Analysis Pipeline
Discussion: Evaluation and Critical Thinking on System Design and Performance

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DAY 3 - Shifting to AI for Image Segmentation

Model-Based and Data-Driven Approaches
Image Segmentation and Deep Learning
Workshop: Applying Segmentation, Algorithmic, Pre-trained Models, Customized Deep Learning Models