SLAS2018 Short Courses

High Content Screening: An Introduction to Instrumentation, Assay Development, Screening, Image and Data Analysis

High-content screening is a powerful technology platform for implementing functional cell-based assays that allow truly multi-parametric analysis in the physiological context of intact cells. This course provides an introductory level overview of the state-of-the-art components of HCS together with some showcases of high-content screens in industry and academia.

Who Should Attend:

Individuals who plan to develop or apply High-Content Analysis / Screening technologies
Individuals who look to implement HCA/HCS infrastructure and capability at their organization or labs
Individuals with first experience in HCA/HCS but want to get a systematic overview, learn more about good practice in assay development and particularly how to manage and analyze large scale data

Those interested in the following tracks:

How You Will Benefit From This Course:

The course will provide:

An introduction to all aspects of HCS including data analysis
An overview on major categories and thereof examples of HCS instrumentation
Guidance to assay selection and systematic optimization
A demonstration of good practice in assay validation and screening
An introduction to principles of image analysis and review of various commercial and open source software such as CellProfiler
An introduction and examples of multi-parametric data analysis using supervised and unsupervised approaches
Review of data analysis and visualization tools
Presentation of case studies of assay development and screens
On demand, discussion on hit verification and target deconvolution strategies

Course Topics:

Introduction to High-Content Analysis and Screening (HCA / HCS)
HCS instrumentation overview
Reagents and assay development for HCS
Image analysis
Data management and analysis
Case studies of high-content RNAi and small molecule screens

Instructors:

Eberhard Krausz
VIB - Discovery Sciences

Eberhard Krausz is working for VIB, a more than 1500 scientists counting life science research organisation in Flanders, Belgium, translating basic research outcomes into early drug discovery programmes. Since 2008, he has been supporting scientists during various positions in industry and academia in technology selection, target identification & validation, assay development & screening, and drug discovery. In 2003-2008, he was heading the central high-content screening labs at the Max Planck Institute in Dresden, Germany. Before, he held responsible positions in biotech industry at Cenix BioScience (Germany) and Cyclacel (Scotland, UK) dealing with RNA interference (RNAi) and drug discovery, respectively.

Steffen Jaensch
Janssen R&D, Pharmaceutical Companies of Johnson & Johnson

Steffen Jaensch works at Janssen R&D, Pharmaceutical Companies of Johnson & Johnson in Beerse, Belgium. Since 2011 he is responsible for the analysis of high-content assay development and screening projects for drug discovery, target identification and phenotypic compound characterization. His current focus is on the development of compound profiling methods for target predictions based on multi-parametric analysis of high-content imaging data. He earned his Ph.D. at the Max-Planck-Institute CBG in Dresden, Germany, and HHMI Janelia Farm research campus in Ashburn, USA, developing image analysis algorithms for studying centrosome dynamics in C. elegans embryos. By training he is a computer scientist.