Please enter valid quantity
Please log in to add favorites.
NULL OR EMPTY CART
Designed for biologists, Harmony’s workflow-based interface makes the whole process of high-content analysis straightforward, even for new users with little microscopy or programming knowledge.
One high-content analysis software for all your applications
One high-content analysis software for all users
|Model Compatible With||Operetta CLS AND Opera Phenix|
Analyzing transport of biliary metabolites is essential to predict pharmacokinetics and hepatotoxicity during drug development. A functional impairment of hepatobilary transporters, such as bile salt export pump (BSEP) and multidrug resistance-associated protein 2 (MRP-2), is strongly associated with an increased risk of cholestatic liver injury. Here, we describe a 3D high-content screening assay to study hepatobiliary transporter function in InSphero human liver microtissues. Confocal imaging and automated image analysis were used to quantify BSEP and MRP-2-mediated efflux of fluorescent substrates into bile canaliculi.
Fundamental processes in living cells, such as apoptosis and signal transduction are controlled by proteins, often acting in concert with other protein partners through protein-protein interactions (PPIs). Inappropriate protein-protein recognition can fundamentally contribute to many diseases, including cancer. Therefore, inhibiting protein-protein interactions represents an emerging area in drug design.
Download our brochure to learn how our solutions help you to grow, detect, and analyze 3D cells.
Infectious diseases remain a major burden to human health. The increased globalization of modern society that facilitates the spread of infectious diseases, and phenomena such as anti-microbial resistance, underscore the importance of the development of new preventative and therapeutic approaches.
Download this booklet to learn how high-content imaging and analysis enable high-throughput functional and phenotypic assays that can be adapted to a wide range of pathogens; read a series of Featured Publication Notes describing the contribution of high-content analysis in the study of diseases such as ebola, zika, tuberculosis, listeria and malaria and find examples of studies in which a high-content approach has been used in parasitic, viral and bacterial disease research.
Please download the pdf and view in Adobe Reader or Acrobat for optimum performance.
Download our technical note to find out how you can overcome some of the challenges associated with long-term live cell imaging. Learn how you can perform successful five-day live cell imaging on Operetta CLS™ and Opera Phenix™ high-content systems, avoid phototoxicity with gentle digital phase contrast imaging, and analyze cell growth and morphology on a single cell level without fluorescence staining.
The Opera Phenix™ high-content screening system’s state of the art hardware, combined with Harmony® imaging and analysis software, improves acquisition and analysis speed, enabling users to perform highly multi-parametric phenotypic screens effectively. In this technical note, learn how the Opera Phenix system’s Synchrony™ Optics and sCMOS cameras image up to 6x faster, how water immersion objectives combined with binning can reduce exposure time by approx. 20-fold and how image acquisition and analysis time can be reduced by >70% compared to a classical spinning disc confocal 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.