ELMI was created in 2001 to establish a unique communication network between European scientists working in the field of light microscopy and the manufacturers of their equipment.
Guest Editors
Virginie Uhlmann (European Bioinformatics Institute (EMBL-EBI), Cambridge, UK, uhlmann@ebi.ac.uk)
Daniel Sage (Swiss Federal Institute of Technology Lausanne (EPFL), Lausanne, Switzerland, daniel.sage@epfl.ch)
Jong Chul Ye (Korea Advanced Institute of Science & Technology (KAIST), Daejeon, Republic of Korea, jong.ye@kaist.ac.kr)
Erik Meijering (University of New South Wales (UNSW), Sydney, Australia, erik.meijering@unsw.edu.au)
Scope
Artificial intelligence has revolutionized computer vision and its many fields of application, including bioimage informatics. Machine and deep learning in particular are being transformative in their ability to provide solutions that automate complex image analysis tasks across a wide range of different datasets, leading to a proliferation of the use of computational approaches by experimental life scientists. Beyond automation, artificial intelligence is also increasingly being used to mine visual information and reveal patterns that are too complex for the human eye to grasp, providing novel insights into the organization and dynamics of living systems.
This special issue assembles original research articles and software reports introducing artificial intelligence approaches to bioimage informatics ranging from microscopy image processing and analysis (e.g., image restoration, object detection, segmentation, tracking) to quantification tasks (e.g., representation and metric learning). Acknowledging the strong potential of artificial intelligence approaches in bioimage informatics, we also welcome reviews, opinion pieces, and perspective articles providing overviews or outlooks on this quickly-evolving field of research.
For additional information please check the call for submissions.
Submission deadline: 15 November 2023