CellVoyager™ CQ1 Benchtop High-Content Analysis System

PhenoVista Biosciences is the leading provider of custom, imaging-based, phenotypic assay services. With a collaborative and scientifically driven project design and management approach, PhenoVista has a proven track record of delivering high-quality data from robust and scalable assays. PhenoVista’s key advantage lies in the ability of their industry-trained scientists to combine world-class understanding of diverse biological systems with cutting-edge quantitative imaging to deliver clear, actionable output data.

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

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 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.

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.

List of Selected Publications : CQ1

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.

In this tutorial, we’ll compare positive and negative condition for the count and total area of lipid droplets by adding the oleic acid or Triacsin C.

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.

In this webinar, Professor Jonny Sexton discusses a pipeline, developed in the Sexton lab, for the quantitative high-throughput image-based screening of SARS-CoV-2 infection to identify potential antiviral mechanisms and allow selection of appropriate drug combinations to treat COVID-19. This webinar presents evidence that morphological profiling can robustly identify new potential therapeutics against SARS-CoV-2 infection as well as drugs that potentially worsen COVID-19 outcomes.