Signals Image Artist™ is our next generation image analysis and management platform for high-content screening and cell imaging data. Quickly process, analyze, share, and store the vast volumes of data generated by high-content screening and cellular imaging, including 3D imaging, phenotypic screening, and cell painting – so you can get your answers sooner. Reduce time to results from days and weeks to hours!
The only commercially available platform that provides universal high-volume image data storage and analysis, Signals Image Artist supports image data from all major high-content screening and cellular imaging systems. It 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.
Please enter valid quantity
Please log in to add favorites.
NULL OR EMPTY CART
Signals Image Artist has powerful capabilities for processing, analyzing, storing, and sharing all your high-content screening and cell imaging data – so you can significantly cut your time to results.
It is also part of our complete workflow solution for high-content screening that includes PhenoVue™ cellular imaging reagents, PhenoPlate™ imaging microplates, HCS instruments, software, and automation.
High-content screening and cellular imaging experiments generate huge amounts of image data. With the latest applications such as phenotypic screening, cell painting, and 3D imaging which use more complex, physiologically-relevant disease models, the volume of data continues to grow.
To maximize all this valuable data, you need a powerful solution for image processing, management and storage, and for sharing data with colleagues.
Signals Image Artist allows you to bring together cell imaging data from a wide range of sources on a single software platform so that you can store, share, analyze, and re-analyze it seamlessly.
Whether you are performing phenotypic screening, cell painting, 3D imaging, live cell imaging, or more routine assays, Signals Image Artist is designed to make it easy for biologists to perform sophisticated image analysis without any coding experience.
The software platform’s image analysis building blocks encapsulate many years of knowledge and expertise in cellular imaging and analysis - so that you can focus on the biology. By simply adding together building blocks such as “Find Nuclei” and “Calculate Cell Painting Properties”, users can quickly create image analysis protocols in just a few simple steps.
Built-in Artificial Intelligence (AI) and machine learning technologies allow users to train the software to develop image analysis algorithms. While other systems may require an image analysis expert to create an algorithm, Signals Image Artist uses proprietary machine-learning technology to make it easy for you to do it on your own. Using a learn-by-example approach, in just a few clicks segmented images can be classified quickly and easily.
This is all powered by high performance computing, so you can get your answers faster.
This study illustrates the power of high content automated image analysis to quantify complex organelle morphologies, using the Opera system and the texture and STAR features of the Columbus system.
There has been a lot of buzz around artificial intelligence, machine learning and deep learning. Is the reality living up to the hype?
In the world of cellular imaging and its application to drug discovery, there is evidence of real progress against some of the critical challenges facing scientists using these technologies.
In this white paper, you will learn about:
Researchers are increasingly looking to 3D cell cultures, microtissues, and organoids to bridge the gap between 2D cell cultures and in vivo animal models. This whitepaper documents a streamlined procedure for getting the most information, as quickly as possible, using solutions from PerkinElmer.