Redefining the Future for Image Data Management & Analysis
We recently launched Signals Image Artist™ the fast, efficient image analysis and data management solution for High Content Screening and cellular image data that integrates with Revvity Signals Signals™ VitroVivo for secondary data analysis.
High Content Screening is a mainstream technology for drug research. More and more experiments are run on more and modern instruments either directly in the labs of pharma companies or outsourced by CROs. These experiments produce very detailed results very quickly. The turnaround time from experiment to experiment is quicker than ever before. Data handling and analysis needs to be kept up by automated high-performance processes. Labs and screening groups are confronted with an ever-increasing amount of image data to analyze and interpret. Signals Image Artist™ is a robust, powerful, and dependable solution for scientific image data management and analysis, which scales with your labs’ evolving needs.
Revvity Signals is the only company on the market today, which offers everything you need to plan, run and analyze High Content Screening experiments. From automated instruments, e.g. Opera Phenix Plus to PhenoVue reagents for Cell Painting, microplates, e.g. PhenoPlate and the management, analysis and interpretation of the experiment results with our Signals Image Artist and Signals VitroVivo software.
Signals Image Artist is out of the box ready to import all your data from the instrument while preserving all meta data. And since the original file formats are kept untouched during the import, you can use Signals Image Artist as your reference database for all your HCS data and primary analysis. It comes with an object store and a high-performance compute cluster built-in no matter how many nodes you have for the analysis of your data. The software is completely containerized and can easily be installed in the cloud or on-premise. We have made sure the analysis of your experiment data and the collaboration with your colleagues is happening inside one web interface, always guaranteeing your high security standards. Our building block approach to HCS analysis helps scientists to get started very quickly and be consistent in their analysis over time and across groups. So there is no programming necessary to analyze even the most challenging result sets coming from 3D cell cultures, cell painting or fast kinetic assays. All of your images, meta data and analysis results are stored in one single platform allowing it to be accessed together to keep it in context in the system as well as through other software directly via REST API with no need to export and re-import images and manage it alongside data outside of Signals Image Artist. This makes Signals Image Artist the most powerful and complete solution to handle and analyze High Content Screening data on the market today. And it is directly integrated for downstream analysis of the data with Signals VitroVivo.
Signals VitroVivo unites assay development, low throughput to ultra-high throughput assays, High Content Screening and many other assay types, and even in vivo studies so you can search and analyze across all assay and screening data in a single platform. Coupled with Signals Image Artist, scientists are empowered to quickly process, analyze, share, and store* phenotypic screening, cell painting, 3D and fast kinetic data like never before. They now have access to reliable data faster, more efficiently, and with more flexibility than before. From a science perspective, cell painting, 3D image analysis, and kinetic data are especially hot topics now, and we offer scientists the flexible and powerful means to explore these areas without the need to do any programming. From an IT perspective, Signals Image Artist uses high performance computing and an industry standard object store to provide a scalable, multi-user solution for image analysis and management that can expand with your labs evolving needs.
To learn more about Signals Image Artist™, and how we support a range of R&D customers, read more here.