Countstar Spica M6
Real-Time Live Cell Imaging and Analysis System
Receive your quote directly from the manufacturer.
The Countstar Spica M6 combines high-capacity kinetic imaging with an evolving AI, delivering immediate answers today and adaptive intelligence for the biology you haven't yet discovered.
- Massive Throughput: Simultaneously image up to six multi-well plates (up to 384-well) without ever opening the incubator door.
- Hands-Off Automation: Turn days of manual plate-swapping into continuous, automated hit identification.
- High-Speed Scanning: Scan a full 96-well plate (BF + 2FL + 2FOV) in ~15 mins, or perform whole-well imaging in ~20 mins.
- Expanded Imaging Flexibility: customizable FOV selection at 3 magnifications.
- Dual AI Analytic Engines: Enables seamless execution of common assays and customized workflow development for novel model systems.
Brochures
Spica Series: AI-driven live-cell imaging inside your incubator Spica
Discover the Countstar Spica Series by ALIT LifeTech, including the Spica M1 and Spica M6, designed for AI-driven live-cell imaging directly inside your incubator. The systems combine automated image acquisition, pre-trained analysis models, flexible brightfield and fluorescence imaging, and real-time kinetic analysis while keeping cells undisturbed.
Download the brochure to explore Spica M1 and Spica M6 features, applications, imaging capabilities, and technical specifications.
Resource details:
Resource type: Product brochure
Page count: 2
Read time: 3 mins
Countstar Spica M6 brochure
This product brochure presents the Countstar Spica M6, a high-throughput live-cell imaging platform designed for continuous analysis within a standard incubator. Combining brightfield and fluorescence imaging with advanced AI-powered analysis, it supports applications such as cell growth monitoring, viability testing, apoptosis studies, transfection analysis, and organoid research. Discover how the system enables automated workflows, remote monitoring, and customizable data analysis to improve research efficiency and accelerate biological discovery.
