Optical resolution-photoacoustic microscopy (OR-PAM) is a microscopic system to provide optical absorption contrast in biological tissue. Currently, high-speed OR-PAM scanning faced the limitation of the millimeter-scale field of view (FOV). Without hardware updates, mosaic processing was used to generate a wide FOV PAM image by merging narrow-ranged PAM images. Using feature generation algorithms, feature points were selected by binary decision and were merged by homography estimation. In this study, the diverse feature generation algorithms were applied and compared to estimate their performances for mosaic PAM imaging. Based on the results, mosaic processing implemented with a wide-field OR-PAM system was applied.
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