Compressed sensing expands the multiplexity of imaging mass cytometry
Tsuyoshi Hosogane, Leonor Schubert Santana, Nils Eling, Holger Moch, Bernd Bodenmiller · 2025
Read Compressed sensing expands the multiplexity of imaging mass cytometry by Tsuyoshi Hosogane, Leonor Schubert Santana, Nils Eling, Holger Moch, Bernd Bodenmiller (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12748953.txt.
Description
Hosogane and co-authors borrow a trick from signal processing to double how many proteins an imaging method can map at once. Imaging mass cytometry charts proteins in tissue, but the count of channels caps how many markers fit per run. Their 2025 study applies compressed sensing, rebuilding rich data from fewer mixed measurements, a scheme proven earlier on RNA imaging.
From eight blended channels, the method recovered sixteen immune and tissue marker proteins with strong accuracy. Training across many human tissues made the decoding work broadly on tumor and healthy samples alike. The marker set and code matrix are ready for others to use in sorting immune and support cells. The authors say the route opens much denser protein imaging.
Catalog record
| CREATOR | Tsuyoshi Hosogane, Leonor Schubert Santana, Nils Eling, Holger Moch, Bernd Bodenmiller |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 47 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |