CLARISA: Connexin-43 Lateralization Automated ROI-Based Image Signal Analyzer
Daniel Gattari, Joseba Sancho-Zamora, Debora Chan, Natalia Jorgelina Prado, Emiliano Raúl Diez, Mariano Llamedo Soria, Mario Rossi · 2026
Read CLARISA: Connexin-43 Lateralization Automated ROI-Based Image Signal Analyzer by Daniel Gattari, Joseba Sancho-Zamora, Debora Chan, Natalia Jorgelina Prado, Emiliano Raúl Diez, Mariano Llamedo Soria, Mario Rossi (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/pmc-13256817.txt.
Description
Daniel Gattari and co-authors introduce in 2026 CLARISA, a deep learning tool that judges whether the cardiac protein Connexin-43 has shifted to the sides of heart muscle cells. That shift is a pattern linked to dangerous rhythm disturbances. Earlier assessment required outlining every cell, a slow process that made large studies impractical.
Trained on expert-labeled regions from rat heart sections, the system classifies Connexin-43 patches as end-positioned or lateralized without any cell segmentation. On held-out images it reached a ROC-AUC of 0.904, and whole-section maps matched expert estimates of total lateralization within 1.30 percentage points. The tool lowers annotation effort greatly, although the authors stress that larger and more varied datasets must confirm its robustness.
Catalog record
| CREATOR | Daniel Gattari, Joseba Sancho-Zamora, Debora Chan, Natalia Jorgelina Prado, Emiliano Raúl Diez, Mariano Llamedo Soria, Mario Rossi |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 84 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |