High Content Analysis CellVoyager

Yokogawa’s high-content analysis systems (HCA), also known as high-content screening systems (HCS), address a range of research applications from basic science to drug discovery screening.
Paired with our advanced analysis software, our HCA systems provide high quality 3D imaging for enhanced live cell analysis.
High content analysis (HCA) identifies the phenotype or target reaction of small molecules, peptides, RNAi, drug cocktail or, antibodies.
Based on high-resolution microscopic images, high content analysis (HCA) enables you to detect cellular phenotypic changes at a molecular level, so the technology can be utilized as a powerful tool to study effects of physiologically active substances, such as compounds, siRNA, peptides and antibodies, on cultured cells, tissue samples and whole organisms, like zebrafish.

  • CV8000 High-Throughput System

    CellVoyager CV8000 is the most advanced high-content screening system. The improved built-in incubator lets you analyze extended live cell responses. With its expandability, 4 cameras, 5 lasers and an optional built-in pipettor, the system permits increasingly complex assay development and high-content screening.

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  • Software

    With powerful machine learning functions, our analysis software suite provides researchers with advanced insights into their HCA experiments such as label-free analysis.

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Confocal imagers with powerful analysis software

Our high content analysis (HCA) systems are the best solutions for a range of research applications from basic science to drug discovery screening.

High Content Analysis (HCA)

High-content analysis is a principle methodology for so-called phenotypic screening in drug discovery and development process. Assessing a vast number of compounds is time consuming, therefore, acquiring a large number of high resolution cellular images with fast scanning speed is critically important for drug screening. Yokogawa high-content analysis imagers have balanced these generally conflicting requirements at high level of perfomance. The core technology, the microlens-ehananced dual Nipokow disk in Yokogawa Confocall Scanner or Confocal Spinning disc Unit (CSU), makes it possible to capture high quality images with remarkably short aquisition time.
In addition to the image aqcisition unit, precisely controled fast moving automated stage chamber is also an essensial component of our imaging systems. Monolayer fixed cell samples have been commonly used in drug screening. However, cellular environments in such fixed 2D samples are quite different from those of actual live systems, and the divergence often causes signficant discrepancy between experimental results and what observed in real oganisms.

Thses days, using 3D samples such as spheroids and organoids, and live cell samples to mimic realistic cellular environment are becoming more and more popular due to cell culture technology development. Yokogawa CSU is renowned in microscopy field not only for the high image quality and fast capturing speed, but also for the live cell friendliness. Our high-content confocal imaging systems based on the CSU are the ideal solution for drug screening using elaborated 3D and live cell assay systems as well as 2D fixed samples. User friendly high content analysis software CellPathfinder, with its versitile functionalities, powerfully supports the analysis of various phnotype changes and target reaction. It also has state-of-the-art machine learning and deep learning function for complexed sample analysis. All the technologies are packed into the Yokogawa high-content analysis system!

 

Traditional Methods High Content Analysis (HCA)
High-Throughput Screening (HTS) Flow Cytometry (FCM) Microscopy

Strength:

  • High-speed handling of a large number of samples

Weakness:

  • Calculates only averages for wells

Strength:

  • Acquires numeric data on individual cells

Weakness:

  • Adherent cells must be removed

Strength:

  • Detailed observation of cellular events

Weakness:

  • Slow

Strengths:

  • Rapidly analyzers a large number of samples
  • Detailed observation of cellular events
  • Temporal analysis of live cells
  • Acquires numeric data on invidividual cells
  • Automated high-speed imaging and analysis
  • Adherent cells can be observed as is

Middelen

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Cell stage categorized using FucciTime lapse imaging of Fucci-added Hela cells was conducted over 48 hrs at 1 hr intervals. Gating was performed based on the mean intensities of 488 nm and 561 nm for each cell. They were categorized into four stages, and the cell count for each was calculated.

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The CV8000 nuclear translocation analysis software enables the analysis of changes in the localization of signal molecules that transfer between cytoplasm and nuclei, such as proteins. The following is an example of the translocation analysis of NFκB, a transcription factor.

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Fluorescent ubiquitination-based cell cycle indicator (Fucci) is a set of fluorescent probes which enables the visualization of cell cycle progression in living cells.

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The CQ1 confocal image acquisition mechanism with the distinctive CSU® unit has a function to sequentially acquire fine cell images along the Z-axis and capture information from the entire thickness of
cells which include heterogenic populations of various cell cycle stages. In addition, saved digital images can be useful for precise observation and analysis of spatial distribution of intracellular molecules.
The CQ1 capability to seamlessly analyze images and obtain data for things such as cell population statistics to individual cell morphology will provide benefits for both basic research and drug discovery
targetingM-cell cycle phase.

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Overzicht:
  • Colony Formation
  • Scratch Wound
  • Cytotoxicity
  • Neurite Outgrowth
  • Co-culture Analysis
  • Cell Tracking
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Cell clusters are directly measured with high-throughput 3D imaging Confocal Quantitative Image Cytometer

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List of Selected Publications : CQ1

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List of Selected Publications : CV8000, CV7000, CV6000

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In this tutorial, we will learn how to perform cell tracking with CellPathfinder through the analysis of test images.

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In this tutorial, using images of zebrafish whose blood vessels are labeled with EGFP, tiling of the images and recognition of blood vessels within an arbitrary region will be explained.

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In this tutorial, a method for analyzing ramified structure, using CellPathfinder, for the analysis of the vascular endothelial cell angiogenesis function will be explained.

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In this tutorial, we will learn how to perform time-lapse analysis of objects with little movement using CellPathfinder, through calcium imaging of iPS cell-derived cardiomyocytes.

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In this tutorial, we will observe the change in number and length of neurites due to nerve growth factor (NGF) stimulation in PC12 cells.

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In this tutorial, image analysis of collapsing stress fibers will be performed, and concentration-dependence curves will be drawn for quantitative evaluation.

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In this tutorial, we will identify the cell cycles G1-phase, G2/M-phase, etc. using the intranuclear DNA content.

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In this tutorial, intranuclear and intracytoplasmic NFκB will be measured and their ratios calculated, and a dose-response curve will be created.

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In this tutorial, spheroid diameter and cell (nuclei) count within the spheroid will be analyzed.

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In this tutorial, a method for analyzing ramified structure, using CellPathfinder, for the analysis of the vascular endothelial cell angiogenesis function will be explained.

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Brochures

Videos

Product overzicht
Overzicht:

The CV8000 features a cell incubator with an improved airtight design that facilitates the observation of cell behavior over long periods of time. In addition, the CV8000 comes with CellPathfinder, a new program that can analyze images of unlabeled cells and 3D images of samples. With these features, the CV8000 improves the efficiency of drug discovery research and biomedical research on leading-edge subjects such as iPS and ES cells.

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YOKOGAWA will contribute to technology evolution particularly in measurement and analytical tools to help build a world where researchers will increasingly focus on insightful interpretation of data, and advancing Life Science to benefit humanity.

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