In cooperation with the company KML Vision, scientists at the Medical University of Vienna apply fluorescence techniques and machine learning to raise blood smear microscopy to a new level. They intend to apply AI algorithms to classify White Blood Cells into their...
The field of target and drug discovery is rapidly embracing high-content (HC) image-based methods, such as Cell Painting. To address the complexity of tools like CellProfiler, we've introduced IKOSA AI, a user-friendly deep learning-based computer vision tool. IKOSA...
Together with Core Life Analytics, we have embarked on a collaborative project at the forefront of target and drug discovery. IKOSA and StratoMineR provide a comprehensive solution for analyzing, visualizing, and prioritizing features within the JUMP CP dataset. By...
In this innovative collaboration with Core Life Analytics we aim to transform cell profiling and reproducible morphological profiling in the pursuit of advanced drug discovery. Our companies are driven by a shared vision to make cell profiling easily accessible to...
We joined forces with InSphero to advance the field of 3D organotypic modeling in drug discovery. Leveraging InSphero's expertise in developing scalable and reproducible organotypic models and our deep learning image analysis solutions, our mutual project aims to...
In collaboration with the FungiG laboratory, we aim to advance the understanding of conidial fungi by developing a high-throughput phenotyping system using Biolog FF MicroPlates. By analyzing high-resolution images of the microplates with our deep learning image...
Be the first to receive free tips about image analysis, newest articles and publications!