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Powerful image analysis tools, intuitive interfaces and EurekaScan™ Finder feature significantly reduce instrument runtime by capturing rare events at high magnification. The Thermo Scientific HCS Studio Cell Analysis Software expertly balances flexibility and ease-of-use using intelligent design resulting in meaningful dynamic data.
Users of HCS Studio Cell Analysis Software start with more than 30 pre-established assays (Figure 1) that can be optimized to cell line and particular phenotype. Driven by intuitive icons, you can simply choose the assay and magnification of the optimized protocol, confirm settings, and begin the scan. We’ve done the work, so you don’t have to.
Figure 1. Examples of available applications from the HCS Studio Cell Analysis Software.
Create your own assay from scratch using the flexible tools and design of HCS Studio Cell Analysis Software. HCS Studio Cell Analysis Software scales seamlessly, providing a host of algorithmic, visualization, and online help tools that reduce the complexity and time investment of developing assays. With instant feedback you can control hundreds of options including:
EurekaScan™ Finder offers two different approaches based on the type of sample and user-stipulated criteria that will inform high-content screening:
Scenario I: In this scenario (tissue), the selected objects in first pass are bigger than the second pass’s field of view (case A), or multiple objects appear in the second pass’s field of view (case B).
In which case, the second pass will utilize a uniformly spaced lattice pattern to define the second pass’s field locations.
Scenario II: In this scenario (spheroids, rare events), the selected objects in the first pass are smaller than the second pass’s field of view and are spaced apart such that multiple objects are unlikely to be in the same field of view.
In which case, the second pass will center the field of views around each object.
Note: The software will automatically choose whether to “center-on-object” or use “lattice pattern” based upon each the selected objects average size and density, on a per-well basis.
Users of HCS Studio Cell Analysis Software start with more than 30 pre-established assays (Figure 1) that can be optimized to cell line and particular phenotype. Driven by intuitive icons, you can simply choose the assay and magnification of the optimized protocol, confirm settings, and begin the scan. We’ve done the work, so you don’t have to.
Figure 1. Examples of available applications from the HCS Studio Cell Analysis Software.
Create your own assay from scratch using the flexible tools and design of HCS Studio Cell Analysis Software. HCS Studio Cell Analysis Software scales seamlessly, providing a host of algorithmic, visualization, and online help tools that reduce the complexity and time investment of developing assays. With instant feedback you can control hundreds of options including:
EurekaScan™ Finder offers two different approaches based on the type of sample and user-stipulated criteria that will inform high-content screening:
Scenario I: In this scenario (tissue), the selected objects in first pass are bigger than the second pass’s field of view (case A), or multiple objects appear in the second pass’s field of view (case B).
In which case, the second pass will utilize a uniformly spaced lattice pattern to define the second pass’s field locations.
Scenario II: In this scenario (spheroids, rare events), the selected objects in the first pass are smaller than the second pass’s field of view and are spaced apart such that multiple objects are unlikely to be in the same field of view.
In which case, the second pass will center the field of views around each object.
Note: The software will automatically choose whether to “center-on-object” or use “lattice pattern” based upon each the selected objects average size and density, on a per-well basis.
With incredible speed and flexibility, Amira Software supports advanced 2D–5D bioimaging workflows in research areas ranging from structural and cellular biology to tissue imaging, neuroscience, preclinical imaging and bioengineering.