Automated single-shot sensorless adaptive optics on a multimodal imaging platform using computational adaptive optics

Multimodal imaging systems are designed to extract complementary multifaceted information from biological samples; sensorless adaptive optics (AO) seeks to extend their capabilities by estimating the wavefront from image-derived information. Typical sensorless AO techniques need the acquisition of several volumes for optimization. We present a novel single-shot closed-loop sensorless AO technique demonstrated on a label-free multimodal imaging system consisting of optical coherence, two-photon fast fluorescence lifetime imaging, and second harmonic generation microscopy. The wavefront is sensed by performing computational AO on an initial OCM volume that is translated to the deformable mirror to improve the image quality of all modalities in real-time.