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. Author manuscript; available in PMC: 2022 Jul 13.
Published in final edited form as: Matrix Biol. 2020 May 19;91-92:152–166. doi: 10.1016/j.matbio.2020.04.004

Table 2:

Overview of spatial proteomic techniques discussed

Method Number of Targets Advantages Limitations
Imaging Mass Cytometry (IMC) [55, 56] ~40 antibodies 1 micron resolution; Single section and staining; Low signal spillover; No autofluorescence Limited by number of rare metals; Biased by target selection; Special equipment; Costly; Long imaging time; Data analysis
Multiplexed Ion Beam Imaging (MIBI) [57] Capable of ~100 targets, commercially 40+ 200–300 nm resolution; Parts-per-billion sensitivity; Low signal spillover; No autofluroescence Biased by target selection; Costly; Special equipment; Long imaging time; Data analysis
Spatially Targeted Optical Micro-Proteomics (STOMP) [62] 1,000s of analytes 1 micron resolution; Analyzes post translational protein modifications; Unbiased target selection Special equipment needed; Trouble measuring low abundant proteins; Data analysis
Matrix-Assisted Laser Desorption/Ionization (MALDI) [49] 1,000s of analytes Analyzes post translational protein modifications; Unbiased target selection Low resolution; Trouble measuring low abundant proteins; Requires matrix; Data analysis
Tissue-based Cyclic ImmunoFluorescence (t-CyCIF) [67, 68] 60 antibodies Cost effective; Uses common lab items; Enhanced signal to noise with each cycle Time consuming
Co-Detection by indEXing (CODEX) [70] ~40 antibodies Single section and staining; Cost effective; Uses common microscope Requires special reagents and equipment

Note: For other comprehensive tables from previous reviews on spatial proteomics please refer to [24].