Biomolecular Imaging and Informatics 2024 - SBI2 11th Annual Conference
Boston, MA, USA
September 18–20, 2024
Join Genedata experts at the Biomolecular Imaging and Informatics 2024 in Boston, MA, USA.
Genedata Screener® automates assay analysis, validates raw data and assay result quality, and consolidates assay information across the enterprise and external collaborators. By integrating and condensing complex experimental data, it powers project decisions and lays the foundation for more predictive, AI-driven, drug discovery and development.
Don't miss the opportunity to see how Genedata Screener® for HCS. The world’s top pharma and contract research organizations rely on Screener for HCS for a streamlined high content analysis. Screener manages massive, multi-featured HCS data, and uncovers relevant features with powerful analysis methods.
If you would like to schedule a meeting in advance or receive more information on Genedata Screener, please contact screener(at)genedata.com.
Recommended Oral Presentations
Efficiency in Image-Based Screening: Hands-Off Data Analysis From Raw Images To Selection of Hits
Cameron Scott, Product Manager, Genedata
Friday, September 20 | 10:45 am – 11:00 am
Image-based assays offer profound insights about candidate molecules, but their analyses can create a bottleneck at the high throughput required for the Drug Discovery process. In this spotlight presentation, we will show how to tackle such multiparametric analyses end-to-end using Genedata Screener, an enterprise platform for assay data analysis and management. Using a deep learning-based analysis platform fully integrated with plate and sample-centric analytics, Genedata Screener automates the entire high-content screening workflow, from instrument-agnostic image loading to automated reporting of hits with the desired pharmacological profile. This dramatically shortens the analysis time of high-content screens.
Recommended Poster Presentations
A Generalizable AI-based Segmentation for Morphological Single Cell- and Sub-cellular Profiling
Hanimann J., Siegismund D., Wieser M., Steigele S.
Genedata AG, Basel, Switzerland
Deep Neural Network Interpretability in High Content Imaging through Deep Feature Isolation Mixing
Siegismund D., Wieser M., Heyse S., Steigele S.
Genedata AG, Basel, Switzerland
