In this work, we implement a pupil conjugated DM-based wavefront sensorless approach in our FFOCT setup. Given the high DM stroke and precision, as well as the Zernike mode-based wavefront optimization using the high-speed DONE algorithm, we showed that higher resolution can be achieved in foveal imaging, as well as obtaining an improved SNR when imaging photoreceptors and NFL when compared to our previous work. Thanks to this SNR improvement, we were able to visualize inner retinal features not previously observed in FFOCT.
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