
Countstar Spica M1
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Countstar Spica M1
Live Cell Imaging and Analysis System
A Tool For Every Lab
Empower biological researchers worldwide to explore the dynamic world of living cells with advanced live cell imaging and analysis tools.
Core Advantages
Incubator-Friendly Optimal Cell Health.
Fits directly inside any standard incubator, ensuring physiological conditions for reliable long-term imaging.
Monitor Experiments from Anywhere, Anytime.
Stay connected to your ongoing experiments and track critical cellular events remotely, increasing flexibility and efficiency.
Ready-to-Go Assays.
Start experiments faster with preset parameters for common applications and ensure consistent, reliable data for all users.
Seamless Imaging to Analysis, All in One.
Integrated software streamlines your entire workflow, from acquisition to visualization. No need for multiple programs or extra costs.
Features
Unparalleled Flexibility for Diverse Live Cell Assays
In the dynamic world of cell biology research, the ability to adapt and explore diverse scientific questions is paramount. Spica’s built-in flexibility enables seamless transitions between different assays, allowing investigation of multiple cellular processes with existing tools in your own laboratory.
*Unlock Deeper Insights from Complex Assays.
*Our integrated AI analysis tools efficiently process various datasets to uncover insights. They enable quick identification of key features and automated quantification, even in complex experiments that traditional methods struggle to analyze.

*Tailor Experiments to Your Specific Research.
*Customize imaging parameters and analysis metrics to meet the unique demands of your diverse assays, providing the exact data you need.
*Support a Spectrum of Assays.
*Image various cell types and markers simultaneously with multiple channels, observe at different scales with flexible magnification and utilize your preferred lab consumables.
*Capture Transient Events on Demand.
*Live Capture Mode allows easy observation and recording of dynamic, short-lived cellular processes in real time, providing immediate insights into critical biological events
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