Simultaneous application of constraints in filter-based fluorescence spectral microscopy
Abstract
We demonstrate the simultaneous application of the minimum negativity and finite support constraints on primary spectra that are obtained via filter-based fluorescence spectral microscopy. Conservation of energy constraint is then applied on the recovered spectrum to improve final reconstruction quality. Simultaneous application improves the computational efficiency of the spectral recovery algorithm and enhances the reconstruction quality when the raw signal is above a critical fraction of the theoretical maximum of intensity values. Dependence of the spectral reconstruction on the emission wavelength of the fluorescent probe is also analyzed. Spectral recovery is demonstrated