Program
Trust me I’m a scientist
Vibor Laketa
The content of the workshop will be introduced. The motivation behind the workshop as well as the current state of scientific affairs with research misconduct and reproducibility crisis will be discussed
From Pixels to Numbers: Understanding Digital Images and Their Quantification
Severina Klaus
The basic concepts necessary for understanding digital bioimage data will be introduced. The presentation will be centered around the notion of images as matrices of numbers. Gray levels, 8-bit vs 16-bit vs 32-bit, colours, pixels, histograms, metadata will be discussed.
Pitfalls in Bioimage Data Analysis
Severina Klaus
What can typically be quantified/measured from image-based data? Basic tools to extract the numerical information from bioimage data and common image processing pitfalls will be discussed.
Image Integrity, Paper Mills and the Impact of Generative AI
Jana Christopher
Inappropriate image-based data handling, paper mills, research misconduct and how generative AI plays into all this will be discussed.
Building Reliable Science: Responsible Bioimage Data Management with OMERO
Christian Schmidt
Scientific data management and why it matters, FAIR principles, good scientific practices for reproducibility, backups, and data sharing, OMERO, I3D:bio and NFDI4BIOIMAGE will be discussed.
Artificial Intelligence and Bioimage Data Handling
Vibor Laketa
The application of machine learning in image processing and analysis is widespread in life sciences. Good scientific practice when using AI to handle digital images will be discussed.
Open Forum
Open questions, discussions on presented topics, comments, concerns, suggestions, closing remarks
