BMKMANU S3000-FF Spatial Transcriptomics

Single-Cell Level Spatial Transcriptomics Platform

Single-Cell Level Spatial Transcriptomics Platform: BMKMANU S3000

BMKMANU S3000 enables whole transcriptome spatial analysis at single-cell resolution, built upon our proprietary microwell-array architecture, with barcoded microspheres loaded into each well. A total of 4,144,770 spots are arranged across a 6.8 × 6.8 mm capture area, with each bead conjugated to ~105 oligos. This high-density bead and oligo configuration achieves subcellular resolution while maintaining high capture efficiency. Integrated with high-definition H&E and fluorescence imaging, our proprietary image stitching and calibration technology supports precise cell segmentation and clustering. BMKMANU S3000 is compatible with mainstream second- and third-generation sequencing platforms, as well as multi-omics workflows including BCR-seq & TCR-seq and ATAC-seq.

BMKMANU S3000 Platform
  • Subcellular resolution (3.5 μm)
  • Multiple capture area sizes are available to suit diverse applications
  • Excellent RNA capture performance with ~88% effective capture area
  • Reduced lateral RNA diffusion due to bump slide surface
  • Precise cell segmentation based on high-definition H&E and fluorescence imaging, as well as proprietary image stitching and calibration technology
  • Compatible with second- and third-generation sequencing platforms: Illumina, MGI, GeneMind, ONT, PacBio, etc.
  • Compatible with multiomics workflows, including BCR-seq/TCR-seq and ATAC-seq
Multiple capture area sizes are available to suit diverse applications
Multiple Capture Area Sizes
Multiple capture area sizes
Proprietary image stitching and calibration technology based on microsphere array
H&E image-based calibration
H&E image-based calibration
Fluorescence image-based calibration
Fluorescence image-based calibration
Precise cell segmentation
  • Cell segmentation for animal cells
Cell segmentation for animal cells
Nucleus localization based on
fluorescence image
Cell boundary delineation
based on H&E image
Cell-bin clustering
  • Cell segmentation for plant cells
Cell segmentation for plant cells
Multi-scale cell segmentation based on
toluidine blue staining
Cell-bin clustering
Compatible with multiomics workflows, including BCR-seq & TCR-seq and ATAC-seq
Integration of spatial BCR-seq & TCR-seq, ATAC-seq, RNA-seq and morphology analysis
Integration of spatial BCR-seq & TCR-seq, ATAC-seq, RNA-seq and morphology analysis

Case Study of S3000 Spatial Transcriptomics Platform

Sample: Mouse brain
Sequencing
Sequencing Mode: NovaSeq6000 PE150
Number of Reads: 1,647,163,344
Sequencing Saturation: 68.67%
Cell Segmentation Metrics
Number of Cells: 94,020
Median Genes per Cell: 1,999
Bin-Level Metrics
Median Genes (100μm): 11,007
Median Genes (30μm): 3,793
Median Genes (18μm): 2,026
Median Genes (6μm): 510
100 um bin Clustering
100 μm bin Clustering
Cell-bin Clustering
Cell-bin Clustering
Oligodendrocyte
Oligodendrocyte
Microglia
Microglia