High-Throughput Multi-Omics Single-Cell Analysis
Unique Advantages of Single-Cell Analysis
Analyze Small Number of Cells
Many clinical samples contain a small number of cells, such as circulating tumor cells (CTCs). Single-cell analysis is required for sample characterization.
Achieve High Data Purity
Different types of cells can mix in tissues and biopsy samples. Single-cell analysis can exclude impurities to collect clean data.
Explore Cellular Heterogeneity
Cells are not created equally, especially for tumor. Profiling cellular heterogeneity is critical to understand the nature of diseases.
Many clinical samples contain a small number of cells, such as circulating tumor cells (CTCs). Single-cell analysis is required for sample characterization.
Achieve High Data Purity
Different types of cells can mix in tissues and biopsy samples. Single-cell analysis can exclude impurities to collect clean data.
Explore Cellular Heterogeneity
Cells are not created equally, especially for tumor. Profiling cellular heterogeneity is critical to understand the nature of diseases.
Innovative Methods for Single-Cell Analysis
Microfluidics Single-Cell Chip
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Machine Learning and Data Science
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Multi-Omics Single-Cell Analysis
