Phase retrieval and adaptive optics correction for systems with diffractive surfaces

Area of Science:

• Optics
• Wavefront Sensing and Control
• Diffractive Optics

Background:

• Adaptive optics (AO) corrects aberrations from atmospheric turbulence or sample thickness.
• Diffractive surfaces introduce additional phase components not related to extrinsic aberrations.
• Existing AO methods require adaptation for systems with diffractive elements.

Purpose of the Study:

• To extend adaptive optics (AO) techniques to systems with diffractive surfaces.
• To develop a phase retrieval method capable of separating diffractive phase from extrinsic aberrations.
• To demonstrate AO correction for extrinsic aberrations on a diffractive surface.

Main Methods:

• A modified Gerchberg algorithm was employed for phase retrieval.
• The algorithm was designed to detect total aberration, including diffractive components.
• Simulations and experimental validation were performed using a grating and a microscope system.

Main Results:

• The modified Gerchberg algorithm successfully retrieved phase information from a diffractive surface.
• Extrinsic aberrations were corrected for light reflected from a grating.
• Experimental results confirmed the efficacy of the AO correction method.

Conclusions:

• The modified Gerchberg algorithm is a viable method for phase retrieval in systems with diffractive surfaces.
• Adaptive optics correction is achievable even in the presence of diffractive phase contributions.
• This work validates AO correction for extrinsic aberrations on diffractive surfaces, opening new possibilities for imaging and optical systems.