High-throughput single-cell detection with high confidence and efficiency

The detection and analysis of single cells are crucial in various fields of biological research and clinical diagnostics, such as single-cell sequencing and cell line development. However, traditional methods such as standard 2D imaging and manual cell counting can cause various inaccuracies or require skilled operators, limiting the effectiveness of these techniques. In this resource, explore how ALIT LifeTech's Countstar Castor high-throughput cell analyzer addresses both challenges, obtaining clear, high-resolution images to enable accurate and automated identification of single cells using AI-powered algorithms.