Macroscopic Fourier ptychography imaging technology reconstructs high-resolution complex images by stitching and integrating low-resolution images in the frequency domain. However， positional misalignment， which decreases the quality of reconstructed images， commonly occurs when the camera is moved to capture low-resolution images. Therefore， a correction method based on particle swarm optimization based on a point-by-point calibration strategy is proposed. First， low-frequency images are calibrated in the frequency domain， and the frequency spectrum is updated. After all low-resolution images are calibrated， the exact camera positions are determined， and high-resolution images are reconstructed using a phase recovery algorithm. In real-world settings， the reconstructed image resolutions of the traditional Fourier ptychography imaging algorithm and proposed algorithm after calibration are 4.00 lp/mm and 5.04 lp/mm， respectively. The reconstructed image quality of the proposed algorithm is significantly improved， and the correction effect is better than that of similar existing algorithms. Furthermore， the execution time is reduced by more than 10.9% when compared with that of similar calibration algorithms. Our algorithm effectively releases the severe requirements of macroscopic Fourier ptychography imaging technology for camera position accuracy， thereby improving the quality of reconstructed images and reducing the time expense.