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5 March 2021 Automated single-shot sensorless adaptive optics on a multimodal imaging platform using computational adaptive optics
Rishyashring R. Iyer, Janet E. Sorrells, Lingxiao Yang, Mantas Žurauskas, Stephen A. Boppart
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Proceedings Volume 11652, Adaptive Optics and Wavefront Control for Biological Systems VII; 116520C (2021) https://doi.org/10.1117/12.2576991
Event: SPIE BiOS, 2021, Online Only
Abstract
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.
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Rishyashring R. Iyer, Janet E. Sorrells, Lingxiao Yang, Mantas Žurauskas, and Stephen A. Boppart "Automated single-shot sensorless adaptive optics on a multimodal imaging platform using computational adaptive optics", Proc. SPIE 11652, Adaptive Optics and Wavefront Control for Biological Systems VII, 116520C (5 March 2021); https://doi.org/10.1117/12.2576991
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KEYWORDS
Adaptive optics
Sensors
Multimodal imaging
Wavefronts
Aberration correction
Microscopy
Wavefront sensors
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