Impressions of the Second International Definiens Symposium in Tampa, 2011.

The Second International Definiens Symposium was held at the Moffitt Cancer Center in Tampa, Florida, October 17-18, 2011.
24 presentations and 9 posters posters provided a comprehensive overview of image analysis solutions in biopharma and academia. A focus on tissue-based biomarker development emphasized the leading role of Definiens image analysis solutions in this interesting field and outlined exciting opportunities for the discovery of new predictive and diagnostic tests. The wide range of possible applications of Definiens image analysis solutions was illustrated by fascinating examples from radiology, PET-CT and stem-cell research for example. Insights into present and future of quantitative digital pathology were presented alongside use cases in pharma, example assays and solution development strategies. Definiens launched a new generation of products at the symposium and profited from immediate feedback in hands-on sessions and discussions with experienced users.
Participants came from North America and Europe and used lunch and coffee breaks for lively discussions and networking. The interactive spirit of the meeting was also apparent in intense question and answer sessions. The dense scientific program was complemented by an enjoyable evening event in Tampa’s Latin quarter, Ybor City with excellent food and drinks.

Introduction: From Images to Clinical Decisions
Thomas Heydler, CEO
Definiens, Munich, Germany
Virtual Microscopy on the Stony Way to Revolutionize Anatomic Pathology
Prof Dr Manfred Dietel, Director, Institute of Pathology
Charité, Berlin, Germany
Multiscalar Image Analysis: A Window onto Tumor Heterogeneity
Dr Robert Gillies, Vice Chair Radiology
H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
Somatic Evolution of Cancer Probed by Multiparametric Feature Analysis of Histology
Mark Lloyd, M.S., Core Staff Scientist, Analytic Microscopy Core Facility
H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
Image Analysis to Discover New Prognostic Features in Breast Cancer
Dr Andrew Beck, Head, Beck Lab for Integrative Molecular Pathology
Beth Israel Deaconess Medical Center, Boston, MA
Digital Pathology and Image Analysis: The Window to Personalized Medicine
Dr Jared Schwartz, CMO
Aperio, Vista, CA
Multiplex Fluorescence in situ Cancer Prognosis Testing in a Clinical Laboratory using Definiens Developer
Dr Tom Nifong, Vice President of Clinical Operations
Metamark Genetics, Cambridge, MA
In situ Detection and Quantification of Single RNA Transcripts by RNAscope
Dr Yuling Luo, CEO
Advanced Cell Diagnostics, Hayward, CA
A Look at the Tumor’s Edge
Prof Dr Melvyn S. Tockman, Senior Member, Cancer Prevention and Control
H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
Integration of Image Analysis in the Development of Biomarker Assays and Companion Diagnostics
Dr Scott Webster, Scientific Manager, pharmDx R&D
Dako, Carpinteria, CA
Translation of Histopathological Information to in vivo Molecular Imaging using PET/CT and Therapeutic Management
Dr Vikas Prasad, Senior Physician, Department of Nuclear Medicine
Charité, Berlin, Germany
A Computer-aided WSI Solution for Tissue-based Biomarker Assessment in Preclinical and Clinical Programs in Oncology
Dr Kristine Burke, Scientist I
Millennium Pharmaceuticals, Cambridge, MA
Digital Histopathology, Stratified Medicine and Robust Companion Diagnostics
Glyn Colebrooke, Senior Director Business Development
Philips, Eindhoven, NL
Digital Pathology and IVDMIAs: The Shortest Distance Between Two Points
Dr Joseph Krueger, Director of Biology
Flagship Biosciences, Flagstaff, AZ
Applications of High Content Screening in Oncology Drug Discovery Using Object-based Image Analysis
Dr Jörn Hopke, Senior Research Investigator
Sanofi Oncology, Cambridge, MA
High Content Image Analysis in Heart Regeneration, Stem Cells and Telomere Biology
Dr Ignacio Flores, Group Leader Stem Cells in Organ Generation, Regeneration and Aging
CNIC, Madrid, Spain
Analysis of Individual Cell Data in Image Based High Content Screens
Dr Hind Azegrouz, Support Scientist, High Content Screening Applications, Cellomics Unit
CNIC, Madrid, Spain
Effective use of Definiens Technology for Image Analysis in Drug Development at Merck
Dr Ansuman Bagchi, Applied Computer Science and Mathematics
Global Services, Merck & Co, Inc., Rahway, NJ
Automated Feature Extraction from microPET/CT Images of Live Chick Embryos in ovo: Incubating a Versatile Model for Preclinical Imaging
Alexander Heidrich, Cell and Molecular Biology
Leibniz Institute for Natural Product Research and Infection Biology HKI, Jena, Germany
The Power of Numbers – Cell by Cell: Definiens Tissue Studio 3
Dr Günter Schmidt, Director Product and IP Management
Definiens, Munich, Germany
Extending the Limits: Definiens Developer XD 2
Dr Johannes Zimmermann, Director Technology Marketing
Definiens, Munich, Germany
Extracting the Essence: Definiens Image Miner
Arno Schäpe, Director Product Development and Chief Architect
Definiens, Munich, Germany
Identifying and Quantifying Apoptotic Subpopulation Cells in Liver Sections Following Compound Dosing
Dr Joe Trask, Head, Cellular Imaging Core
The Hamner Institutes for Health Sciences, Research Triangle Park, NC
An Entirely Automatic Method to Score Crypt Loss and Infiltration from Pathology Slides in a Mouse DSS Model of Colitis
Dr Cleopatra Kozlowski, Associate Scientist
Genentech, San Francisco, CA
Image Analysis for the Calculation of the Toxicity Degree of Cells in Phase Contrast Microscopy Images
M. Athelogou et al.
Definiens, Munich, Germany
Fluorescence Compared to Brightfield CD35 Detection in Lymphoid Follicles of the Monkey to Assess Immunomodulatory Treatment
J. Brodbeck et al.
Genentech, San Francisco, CA
Using Definiens Software to Analyze Intracellular and Tumor Extracellular pH
T. Chen et al.
H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
Multi-Modal Imaging and Definiens Analysis of in vivo Tumor Invasion
V.C. Estrella et al.
H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
Multiscale Image Analysis and Modeling to Investigate Heterogeneity
R. Gillies et al.
H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
Automated Delineation of Lung Tumors from CT Images: Method and Evaluation
Y. Gu et al.
H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
Using Definiens for Automated High-Throughput Identification of Centrosome ROIs from Stage I Lung Cancer Tissue Sections
M.C. Lloyd et al.
H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
Quantitative Evaluation of the Morphological Heterogeneity in Breast Cancer Progression
M.C. Lloyd et al.
H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
Automated Image Analysis of the Interaction between Phagocytes and Aspergillus fumigatus during Infection
F. Mech et al.
Leibniz Institute for Natural Product Research and Infection Biology, HKI, Jena, Germany