Table 1.
Summary of spatial transcriptomics profiling technologies
Modality | Method | Reference no. | Pixel resolution | Number of unique genes | Capture area |
---|---|---|---|---|---|
Imaging | RNAscope | 77 | ≤1 μm | 12 | ≥1 cm2 |
MERFISH | 78 | ≤1 μm | 10,000 | 1 cm2 | |
seqFISH | 79 | ≤1 μm | 10,000 | 1 cm2 | |
CARTANA | 80 | ≤1 μm | 600 | 1 cm2 | |
Massively parallel sequencing | 10x Genomics Visium | 81 | 55 μm | 2,500 | 0.44 cm2 |
Slide-seqV2 | 62 | 10 μm | 2,000 | 7 mm2 | |
DBiT-seq | 63 | 10 μm | 2,000 | 1 mm2 | |
25 μm | — | 6.25 mm2 | |||
50 μm | 3,700 | 25 mm2 | |||
Seq-Scope | 64 | 1 μm | 500 | 2.2–5.5 mm × 125 mm |
Imaging technologies such as RNAscope, MERFISH, seqFISH, and CARTANA have large capture areas and excellent resolution while requiring the use of a predefined probe set limited to a smaller number of unique genes. Massively parallel sequencing approaches have smaller capture areas and sample from the entire transcriptome, although they capture a fraction of unique genes with reduced sensitivity compared with imaging methods. DBiT-seq, deterministic barcoding in tissue for spatial omics sequencing; MERFISH, multiplexed error-robust fluorescence in situ hybridization; seqFISH, sequential barcode fluorescence in situ hybridization; Seq-Scope, Sequence-Scope.