Quantitative BioImaging Workshop on Multiplex Image Analysis

Workshop aim: The knowledge of cellular composition and spatial contexture in different tissue beds is essential to understanding normal and disease states. Tissue multiplexing techniques represent a powerful tool to probe the cellular organization with significant implications for basic research and drug discovery and development. The recent past has witnessed an explosive growth of multiplexing techniques, which enable the simultaneous imaging of up to 100 biomarkers from a single tissue section. Common to all multiplexing techniques is the image analysis workflow which converts the high dimensional raw data into useful information (i.e., density, location and phenotypes of different cells). The goal of this workshop is to create a forum to discuss technical challenges, best practices, tips, tricks and pitfalls related to multiplex image analysis. We are soliciting abstracts on topics related to multiplex image analysis including but not limited to:

• Cell/nuclear segmentation
• Cell phenotyping
• Clustering and dimensionality reduction
• Multiplex assay validation
• Reproducibility & batch to batch variability
• Data normalization strategies
• Statistical and spatial tools for multiplex data