Genedata Imagence® lets you train a deep neural network to classify cellular phenotypes in HCS images for unbiased, high-quality results. It automates analysis, putting the power of deep learning algorithms in the hands of assay biologists.
A versatile image analysis solution, Genedata Imagence handles stem cell differentiation experiments, multiplexed Cell Painting assays, co-culture assays, and more.
With Genedata Imagence, training a neural network to perform sophisticated analysis requires no more than a few clicks.
Deep learning is a fast-moving field. Genedata Imagence incorporates the latest AI advances, driven by our team of scientific experts.
Industry leaders are talking about Genedata Imagence, and it’s not just buzz: our innovative product is winning awards for its immediate, real-world usability.
Our ImageXpress Micro high-content imaging system customers can now easily implement walk-away, automated image analysis workflows, while gaining deep insights with Genedata’s Imagence and Screener software in much less time.
Now, with access to the first commercial version of Genedata Imagence software, our scientists can explore the broad benefits of deep learning in their day-to-day operations.
Vice president of Screening Sciences and Sample Management
Genedata Imagence empowers biologists to directly and immediately analyze HCS imaging data using sophisticated deep learning techniques without any specialized algorithmic expertise, enabling you to:
Entirely automate image analysis setup, eliminating time-consuming and repetitive parameter tuning steps and specialist-controlled scripting workflows.
Automate identification and classification of complex phenotypes.
Instantly access your results via seamless integration with Genedata Screener®; immediately obtain a list of top hits with detailed statistics and plots.
Clarify Complex Results.
Ensure Data Quality.
Don’t shroud your analysis under abstract lines of code. The Genedata Imagence intuitive interface allows you to easily QC and explore data every step of the way, enabling a better and deeper understanding by allowing you to:
Access original images at all stages of the workflow, for rapid QC and data exploration.
Compare images and adjust training datasets in a matter of clicks.
Eliminate human bias with a deep learning approach. Consistent application of the same networks to new screening batches ensures reproducible and reliable analysis.