A Low-Parameter Adaptive Framework Based on Gaussian Mixture Modeling for Detecting Weak Astrocytic Calcium Signals in Two-Photon Imaging
Jiameng Xu, Huiquan Wang, Shaofan Yang, Xiang Liao, Kuan Zhang, Guang Zhang · 2026
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Description
Jiameng Xu, Huiquan Wang, Shaofan Yang, Xiang Liao, Kuan Zhang, and Guang Zhang wrote a 2026 paper on spotting faint brain signals in microscope movies. Astrocytes, the brain's star-shaped support cells, flash with calcium signals that guide blood flow and cell talk. Two-photon imaging can film them in living tissue, but the weakest flashes drown in noise.
Their method cleans the frames first, then sorts each segment's brightness with a mixture model that adapts as it goes. A persistence check keeps only signals that last as real ones should. In simulated videos the overlap with true signals jumped from near zero to a strong match, and real recordings gained clarity too. The tool uses few settings, which makes it easy to adopt.
Catalog record
| CREATOR | Jiameng Xu, Huiquan Wang, Shaofan Yang, Xiang Liao, Kuan Zhang, Guang Zhang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 51 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |