A workflow to reduce red blood cell autofluorescence for imaging IL-4/IL-4R interactions in the inflamed lung
Cyril Salama, Alexandre Cousin, Myriam Oger, Diane Riccobono, Anne-Laure Favier, Krisztina Nikovics · 2026
Read A workflow to reduce red blood cell autofluorescence for imaging IL-4/IL-4R interactions in the inflamed lung by Cyril Salama, Alexandre Cousin, Myriam Oger, Diane Riccobono, Anne-Laure Favier, Krisztina Nikovics (2026) 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/PMC13316160.txt.
Description
Cyril Salama and colleagues built a workflow in 2026 to cut red blood cell glow that confuses images of inflamed lung. Natural glow from red cells can mimic true signals in close-contact tests for protein links. That hurts counts in wax-set tissue samples.
Their method combines antigen retrieval, careful fluorophore choice, spectral unmixing, and post-processing to separate red cell glow from true IL-4 and IL-4 receptor interaction spots. Tissue structure stays intact while false positives fall. A checked, repeatable routine should let other labs image protein contacts in inflamed tissue with more confidence. Each step in the chain has a clear job to do.
Catalog record
| CREATOR | Cyril Salama, Alexandre Cousin, Myriam Oger, Diane Riccobono, Anne-Laure Favier, Krisztina Nikovics |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 75083 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |