For Research Use Only. Not for Use in Diagnostic Procedures.
To advance our biological understanding of cancer and improve treatment efficacy, we are utilizing quantitative high-content imaging to illuminate the dynamic interactions between cancer cells and their microenvironment within physiologically-relevant model systems.
In this webinar, we highlight the potential of high-content screening (HCS) to measure cell behavior within complex heterocellular environments. When employed with image analysis techniques, such as machine learning, high-content imaging enables us to rapidly and accurately classify cell types within co-culture systems. This combination of technologies also empowers us to determine environment-mediated drug responses in both 2D monolayer and 3D patient-derived organoid systems.
This webinar will describe the integration of biology and engineering to devise simple, high-throughput 3D human microtissues as predictive biology platforms that reflect human physiology and disease, solving fundamental questions of adverse biological response with the goal of modernizing toxicity and drug candidate testing.
A key aspect of this approach is the implementation of “in vitro pathology”, making use of quantitative metrics from reconstructed 3D microtissue images to discern adverse biological effects. This strategy is currently being used to develop 3D microtissues of a variety of human tissues, exploring the utility of single cell lines, co-cultures of cells, and human induced pluripotent stem cells. The goal is to access a wide variety of cellular behavior, characterizing responses across the biological landscape using simple and rapid techniques.
In this webinar the speakers describe the marriage of 3D organoids and high-content screening (HCS) to discover targeted drug therapies effective against the malignant phenotype in colorectal cancer (CRC). The CRC tumor organoid model described features an innovative dual reporter of epithelial-mesenchymal transition (EMT), including: E-cadherin promoter red fluorescent protein and vimentin promoter green fluorescent protein cloned into a single pCDH1 lentiviral vector.
The speakers also describe a robust methodology for automated tumor organoid culture and validated 3D high-content analysis algorithms. Using these approaches they have screened a focused library of 3,000 small molecule compounds and have identified and validated hits that promote the reversion of EMT in CRC.
In this webinar the presenters discuss the value that high-content imaging and analysis can bring to your cell biology research program.
They describe how you can exploit the full potential of automated microscopy to gain more meaningful information to address biological questions from your cellular samples whilst improving your lab’s throughput, productivity, and overall efficacy. They show solutions to the challenges of interrogating more physiologically relevant and complex cell model systems, such as co-cultures, 3D cell models, and tissues.
In this webinar, learn how PPIs can be studied at higher throughput using a FRET-based assay on the Opera Phenix™ high-content screening system. By taking advantage of simultaneous confocal imaging with the system’s four cameras, a fast and robust FRET-based assay to measure the interaction of the anti-apoptotic protein Bcl-XL with the pro-apoptotic protein Bad was established
The speakers also explain the benefits of the proprietary Synchrony™ optics technology for FRET-based assays and describe how to perform ratiometric quantification of FRET efficiency on a pixel-by-pixel basis using Harmony® High Content Analysis Software.
In this short webinar, our Applications Scientist Matthias Fassler introduces the benefits of using the Opera Phenix™ High-Content Screening System to analyze 3D samples.
The Opera Phenix™ High-Content Screening System combines a unique optical design with a series of advanced software features.
In this webinar, our Senior Applications Engineer Angelika Foitzik describes how the Opera Phenix’s proprietary confocal Synchrony™ Optics, large FOV Zeiss water immersion objectives, and microlens-enhanced, distance optimized confocal scanning capabilities, enhance image and data quality.
There is a growing trend towards developing in vitro cell models that recapitulate the in vitro environment in basic research, developmental biology, drug discovery, and toxicology. To achieve this, scientists are using more complex cellular models such as ex vivo tissue, primary cells, stem cells, or a combination of co-culture cells to form 3D structures or scaffolds to generate detailed phenotypic fingerprints for deeper biological insights in both live cell and fixed endpoint assays.
In this webinar, we will show how the advanced features of the new Operetta CLS™ high-content analysis system from PerkinElmer can help you to achieve the throughput to assess varied conditions, the resolution to capture high-quality image data and insights from the data.
In this short webinar, our Applications Scientist Matthias Fassler presents how digital phase imaging and automated single cell tracking can be used to analyze cell migration and cell division on a single cell basis, using A549 non-small cell lung carcinoma (NSCLC) cells as a model system for studying chemokinesis.
In this short webinar, our Applications Scientist Matthias Fassler describes how the Operetta® High-Content Imaging System, equipped with a live cell chamber, and combined with HaloTag® Labeling, can be used to study the dynamics of the NF-ĸB signaling pathway in living cells. This example illustrates how the use of the Halo-tagged proteins on the Operetta system allows for sensitive and flexible live cell assays to be performed for diverse high-content screening applications.