Modeling with Images in the Life Sciences

Description and aim

Modern imaging and image processing is revolutionizing the scientific investigation in the life sciences. However, much current practice is tailored toward specific workflows and use cases that are neither sharable nor generalized appropriately to manifold and diverse scientific questions. One reason for this shortcoming is lack of a standardized image modeling workflow and vocabulary. The purpose of this workshop is to develop a framework for bio-imaging theory by elaborating on the methods and terminology currently applied. Starting from the image as produced by imaging devices at micro-scale resolution our focus will be on the exploration of the range of methodologies developed for modeling based on series of images and establishment of common ground for formulation of theory. An initial deliverable result will be to identify how to achieve a common vocabulary in the imaging modeling workflow.

The aim of this workshop is bringing together different communities that deal with images in the life sciences, and increase understanding in modeling workflows in BioImaging. As a result, standardization in workflow can be proposed and a common vocabulary for modeling in BioImaging can be initiated. The focus will be on BioImaging at the micro-scale. Effective BioImaging requires collaboration between several distinct research communities, each having their own perspective and vocabulary. A common framework for workflow and vocabulary is a necessity for the communication between scientists, exchange of data (images) and interpretations of these data. Such a framework will help to distill theory from established practices. A range of topics will be discussed, ranging from image acquisition and processing to interpretation, visualization and analysis.