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Biomedical Engineering Seminar - 14 October 2014

Speaker: Professor Jens Rittscher, Institute of Biomedical Engineering & Target Discovery Institute, University of Oxford Title: The Role of Imaging in Phenotypic Screening
When Oct 14, 2014
from 12:45 PM to 01:45 PM
Where Ludwig/Jenner Seminar Room, Rm 678.00.59A, Old Road Campus Research Building, Headington, Oxford
Contact Name
Contact Phone +44(0)1865 617747/617737
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Abstract

To set the stage I will introduce the phenotypic screening and the relevance of this approach to drug discovery. The talk will highlight a number of image analysis techniques that play an increasingly important role in phenotypic screening. In particular it will review algorithms for cell tracking and cell cycle estimation as well as image analysis based approaches for tissue mapping. Apart from discussing the image analysis algorithms the presentation will also outline what work will be necessary to integrated the high-content information in the overall workflow. The ongoing work at the newly established Target Discovery Institute (TDI) at the University of Oxford will also be presented.  The overall goal and the roles of the different groups at TDI will be discussed.

 

During the talk I will present future research efforts that aim to advance in vitro
cell based studies. The relevance of in vitro studies hinges on the predictive
value of cell based model systems. Here it is critical that these systems
phenotypically represent their in vivo counterparts.  Recently there has been
a particular interest in in vitro models of the intestinal epithelium.  I
will discuss a dedicated research program for capturing the rich set of
biological information 3D cell culture system can provide and for utilizing
this technology for higher throughput biological studies.

 

Web:

http://www.ibme.ox.ac.uk/research/biomedia/jens-rittscher

http://www.tdi.ox.ac.uk/home

 

Biography

The research of Prof. Jens Rittscher is to enable quantitative biological imaging through the development of new algorithms and novel computational platforms. In particular, these tools address the characterisation of cell motility, proliferation, and the various modalities of cell death. Previously
he worked on applications ranging from monitoring cellular processes and
computational pathology to the development of an anatomical atlas for zebrafish imaging. He has more than 15 years experience in computer vision and pattern recognition research that
includes 12 years of post-doctoral experience in the academic, as well as in the industrial setting. In 2001 he was awarded a DPhil from the University of Oxford for his work on recognising human motion. This work made well cited contributions to the mathematical modelling of human motion and the recognition of certain human motion patterns using visual tracking. From 2001 until 2013 he
was a research scientist in the Imaging Technologies
organisation
of the GE Global Research Center in Niskayuna, NY, USA. During this time he acquired international recognition for his work in computer vision addressing problems in: automated video annotation, visual surveillance, and biomedical imaging. As a
project leader, he was responsible for establishing multi-year research programs and their transition
into commercial solutions. As a manager, he was responsible for a group of 15 researchers, formulation of the research strategy, and securing research funding for this group. During his tenure at GE he was awarded 21 U.S. patents, 20 published patented applications, published approximately 50 peer-reviewed publications, one edited book, and 5 book chapters.