Detail-enhanced Fourier ptychographic microscopy based on deblurring by pixel reassignment

Intraoperative pathology requires rapid, high-resolution imaging over a wide field of view (FOV) to support timely surgical decision-making. Fourier ptychographic microscopy (FPM) offers a large FOV and enhanced resolution, yet its performance is often limited by residual aberrations and insufficient fine-detail recovery under practical imaging conditions. We present DPR-FPM, an FPM post-processing framework that introduces a physically motivated equivalent point spread function (PSF) model, parameterized by the synthetic numerical aperture (NA) of FPM, to make DPR applicable to FPM reconstructions with residual blur and imperfect aberration modeling. DPR-FPM improves fine-detail visibility and effective resolution by using DPR to sharpen the PSF in the spatial domain. Experimental results show a resolution improvement from 550 nm to 488 nm and a structural similarity index (SSIM) increase from 0.6864 to 0.7275, yielding clearer structural features in pathological specimens.