Transcriptomics |
scRNA-seq |
Extracting transcriptomic data from individual cells |
Jean-Baptiste et al. (2019); Nelms and Walbot (2019); Ryu et al. (2019); Shulse et al. (2019); Satterlee et al. (2020); Shaw et al. (2021); Liu et al. (2021); Xu et al. (2021)
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ST |
First array-based ST platform; 100-µm spot capture resolution |
Giacomello et al. (2017); Giacomello and Lundeberg (2018)
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Visium spatial gene expression (10× Genomics) |
Upgraded resolution from ST; 55-µm spot capture resolution |
No |
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HDST |
Uses microbeads and a sequential hybridization strategy for high resolution spatial capture; microbeads are 2 µm |
No |
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Slide-seq; Slide-seq V2 |
Employs slides covered with pucks of 10-µm microbeads coated with poly-T capture probes |
No |
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XYZeq |
Combines scRNA-seq and ST by using two rounds of split-pool indexing to capture the spatial information of each cell at a relatively low resolution (500 µm) followed by making indexed scRNA-seq libraries |
No |
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ExSeq |
Combines ExM and in situ sequencing and hybridization to enable large-scale, spatially resolved transcript identification and localization |
No |
3D imaging |
XRM |
A specialized XCT system that incorporates microscope objective lenses in the beam path, allowing for high resolution, multiscale 3D imaging over a wide range of sample sizes |
Duncan et al. (2021)
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ExM |
A technique that anchors cell molecules to a nearby scaffold and expands many-fold while maintaining relative molecular relationships |
Kao and Nodine (2019, 2021)
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LSFM |
A nondestructive technique that uses a thin plane of light to section and view tissues as low as subcellular resolution |
Berthet and Maizel (2016); Ovečka et al. (2018, 2021)
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XCT |
Generates 2D radiographs by passing X-rays through a sample onto a detector, and computationally reconstructing the images into a 3D volume |
Aylmore (1993); Heeraman et al. (1997); Stuppy et al. (2003); Kaminuma et al. (2008); Leroux et al. (2009); Dhondt et al. (2010); and van der Niet et al. (2010)
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