High-Content-Analysesystem CellVoyager

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.

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.

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

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.

• Colony Formation
• Scratch Wound
• Cytotoxicity
• Neurite Outgrowth
• Co-culture Analysis
• Cell Tracking

Cell clusters are directly measured with high-throughput 3D imaging Confocal Quantitative Image Cytometer

List of Selected Publications : CQ1

List of Selected Publications : CV8000, CV7000, CV6000

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

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.

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

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.

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

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

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

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

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

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

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.

YOKOGAWA wird zur technologischen Entwicklung beitragen, insbesondere im Bereich der Mess- und Analysewerkzeuge, um eine Welt zu schaffen, in der sich die Forscher zunehmend auf die aufschlussreiche Interpretation von Daten konzentrieren und die Biowissenschaften zum Nutzen der Menschheit voranbringen.

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.