Droplet-based single-cell sequencing performed with the SURFSeq™ 5000 and SURFSeq™ Q systems enables high-resolution transcriptomic, epigenomic, and spatial analysis at the individual cell level. The workflow supports scRNA-seq, scATAC-seq, single-cell methylation, and spatial transcriptomics, delivering robust data for cell heterogeneity studies, tumor microenvironment mapping, and developmental biology.
Achieves >65% cell capture rate, multiplet rate per 1000 cells < 0.5%
Capture up to 20,000 cells per sample within 4.5 minutes
Automated data analysis pipeline
All-in-one single-cell sequencing solution streamlines full workflow with high efficiency and reliable data output.
|
Kit Type |
Catalog Number |
Recommended Cells per Sample |
Reads per Cell (Recommended) |
Data Output per Sample (PE150) |
SURFSeq 5000 Flow cell Configuration |
Remarks |
|
Single-cell Methylation |
K00901-08 |
5,000 cells |
100,000 |
≥1 Tb |
1 × FCP flowcell for 1 sample |
Generates scRNA-seq library additionally, requires 500M reads throughput |
|
3' RNA-seq |
K00202-08 |
10,000 cells |
20,000–50,000 |
60–150 Gb |
1 × FCM flowcell for 1 sample; 1 × FCH flowcell for 4 samples |
Applicable to 5' RNA-seq / Full-length cDNA / scMLP-seq / ATAC-seq |
|
5' RNA-seq |
K00501-08 |
10,000 cells |
20,000–50,000 |
60–150 Gb |
Same as above |
Same as above |
|
Full-length cDNA |
K00801-08 |
10,000 cells |
20,000–50,000 |
60–150 Gb |
Same as above |
Same as above |
|
scMLP-seq |
K03201-08 |
10,000 cells |
20,000–50,000 |
60–150 Gb |
Same as above |
Same as above |
|
scATAC-seq |
K02901-08 |
10,000 cells |
20,000–50,000 |
60–150 Gb |
Same as above |
Same as above |
|
Spatial Transcriptomics |
K02501-08 |
— |
— |
200–300 Gb |
1 × FCH flowcell for 2 samples |
Minimum 2 samples for testing |
