Point spread function decoupling in computational fluorescence microscopy.

ABSTRACT: Computational fluorescence microscopy constantly breaks through imaging performance through advanced optical modulation technologies; however, conventional theoretical modeling and experimental measurement approaches are challenging to meet the demand for accurate system characterization of diverse modulations. To this end, we propose a point spread function (PSF) decoupling method that is intrinsically compatible with the optimal demodulation in computational microscopic imaging modality. The critical core lies in designing a sample prior-based computational imaging strategy, in which a regular fluorescent sample instead of generally used sub-diffraction limited particles acts as a system modulator to demodulate the system response. PSF consequently can be computationally optimized throug

SUBMITTER: Wang Z 

PROVIDER: S-EPMC12757601 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature