Submitted by fec4009 on March 12, 2026 - 1:26pm
| Title | Refining hemodynamic correction in in vivo wide-field fluorescent imaging through linear regression analysis |
| Publication Type | Journal Article |
| Year of Publication | 2024 |
| Authors | Li J, Yang F, Zhang K, Wu S, Niemeyer J, Zhao M, Luo P, Li N, Li R, Li D, Lin W, Liou J-Y, Schwartz TH, Ma H |
| Journal | NeuroImage |
| Keywords | Wide-field fluorescent imagingFunctional hemodynamic changesNoise subtraction methodLinear regressionBeer-lambert law |
| Abstract | Accurate interpretation of in vivo wide-field fluorescent imaging (WFFI) data requires precise separation of raw fluorescence signals into neural and hemodynamic components. The classical Beer-Lambert law-based approach, which uses concurrent 530-nm illumination to estimate relative changes in cerebral blood volume (CBV), fails to account for the scattering and reflection of 530-nm photons from non-neuronal components leading to biased estimates of CBV changes and subsequent misrepresentation of neural activity. This study introduces a novel linear regression approach designed to overcome this limitation. This correction provides a more reliable representation of CBV changes and neural activity in fluorescence data. Our method is validated across multiple datasets, demonstrating its superiority over the classical approach. |
| DOI | 10.1016/j.neuroimage.2024.120816 |
