Microscopic Image Analysis with Applications in Biology
Heidelberg, Germany, September 2, 2011

Electronic Proceedings:

The sixth workshop of the series Microscopic Image Analysis with Applications in Biology was held in September 2011 at BioQuant at the University of Heidelberg. The aim of this workshop series aims to bring together researchers working on the emerging interface of computational image analysis, biology, and systems biology. The workshop had a strong on cutting edge image analysis methods for studying biological systems at different levels (e.g., sub-cellular, cellular, tissue, and whole organ level) and using different microscopy techniques (optical and electron microscopy). In particular we would like to thank Dr. Karl Rohr (University of Heidelberg and DKFZ Heidelberg, Germany) for his leading role in organizing the workshop and for making the local arrangements. In addition we would like to thank Christophe Zimmer, Stephen Lockett, and Hanchuan Peng for coordinating the paper reviews.

The workshop program was organized in conjunction with the International Conference on Systems Biology. The program included included a panel discussion, 12 oral presentations, as well as 18 posters. The invited talk was given by Robert Murphy (CMU) with the title CellOrganizer: Image-derived Models of Subcellular Organization over Time and Space. As in previous years we encouraged both full paper as well as abstract submissions.

The convergence of technical developments that enable automated microscopy imaging at higher resolution and throughput and life sciences applications that require the analysis of a very large number of samples radically changes the traditional role of microscopy. As opposed to analyzing a very limited number of samples manually, it is now possible to automatically analyze a large number of biological samples at the cellular and sub-cellular scale and monitor their dynamics over time. The contributions of the workshop represented the interdisciplinary nature of this area of research. In particular the talk given by Giselle Flaccavento on the application of learning method to lens-free imaging methods illustrated that the convergence of medical imaging, optical engineering, and biomedical engineering leads to novel applications.

Algorithms that allow the automatic analysis of such data sets are becoming a crucial component of microscopy workflow. These datasets pose a number of challenges that are very distinct from conventional clinical imagery in their size and abundance, the detail of relevant features, and their statistics. Sophisticated algorithms are necessary to process such imagery and extract biologically relevant features and information.

Based on the positive feedback from participants we will plan to continue this workshop series and hope to strengthen the interdisciplinary nature of the program. We hope you find the contributions stimulating and valuablue resource for your own research.



For the organizers

Jens Rittscher