Application: CellActivision Applications
Colony Formation
Colony growth is easily quantified using the area measurement and cell counting tools providing creative and flexible ways to analyse samples.
Scratch Wound
The threshold tool facilitates the automatic kinetic analysis of the scratch wound area, wound width and % closure rate.
Cytotoxicity
Cell classification and counting tools allow morphological differences such as dying cells to be easily distinguished from healthy cells and subsequently quantified. The kinetic data generated allows important information such as the LD50 value to be obtained with ease.
Neurite Growth
In the absence of any labels, neurite formation and cell number can be automatically quantified. Information on cell number, cell phase and movement statistics can also be generated.
Co-culture Analysis
Through using the cell counting and classification tool, machine leaning technology allows different cell types to be classified and quantified over time.
Cell Tracking
Single cells can be automatically tracked providing information on cell movement, and directionality. Additionally; Total trajectories, or centered trajectories can be generated.
Les produits et solutions liés
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CellPathfinder
CellPathfinder is designed for our HCA systems, CQ1 and the CellVoyager series. From beginners to experts, the analysis software lets you quantify subtle physiological changes and even label-free samples with various graph options.
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Cycle et science de vie
Les systèmes d'analyse de contenus complexes de Yokogawa et les technologies confocales à double disque rotatif fournissent une imagerie cellulaire en direct à haute vitesse et en haute résolution, ce qui permet une recherche de pointe dans le monde entier.
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High Content Analysis CellVoyager
Our high-content analysis (HCA) systems utilize powerful software to address a wide range of research applications from basic science to complex compound 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.