Nonlinear reconstruction algorithm for line-scanning microscopy via virtual structured-modulation

Abstract Line-scanning microscopy with virtually structured modulation (vLSM) provides an easy, low-cost, axial laminating ability, and phase-artifact-free strategy to achieve super-resolution imaging. In this paper, we apply the nonlinear reconstruction (NLR) algorithm to the vLSM and obtain rapid super-resolution imaging. The reconstruction algorithm can directly process raw data in the spatial domain without complicated processing. NLR algorithm is about 3 times faster than the conventional linear algorithm stemming from the advantage of spatial domain processing, providing ∼ 2.02 times the resolution of the wide-field imaging. Both simulated and experimental data were used to verify resolution enhancement.