High speed adaptive optical ring spot correction system and method based on machine learning

Abstract

The invention discloses a high speed adaptive optical ring spot correction system and method based on machine learning. According to the system and the method, a learning model is established, a mapping relationship between distorted ring spot forms and phase reconstruction coefficients required for correcting deformation is established, a to-be-tested distorted ring spot is input into a trained model, the phase reconstruction coefficient for correcting the distortion can be solved, and further correction phase reconstructed by the phase reconstruction coefficient is loaded to a spatial lightmodulator, so the distortion can be corrected. According to the system and the method, rapid correction can be carried out on ring spot aberration in a stimulated emission depletion (STED) fluorescence microscopy, precision is high, the system is simple and is easy to operate, and the resolution reduction problem resulting from the aberration and scattering generated when sample deep layer imagingis carried out in an STED super-resolution microscopy imaging technology is solved.

Description

technical field [0001] The invention belongs to an adaptive optical wavefront aberration correction method in the field of super-resolution microscopy imaging, and in particular relates to a machine learning-based high-speed method for correcting annular spot aberrations in stimulated emission depletion (STED) fluorescence microscopy. Adaptive optics correction systems and methods to enable super-resolution optical imaging in thick samples. Background technique [0002] Optical microscopy has long been an important tool in biomedical research due to its non-contact and non-invasive advantages. However, since 1873, it has been believed that the resolution limit of the optical microscope is about 200nm, which cannot be used to clearly observe biological structures within 200nm in size. Super-resolution optical imaging is the most significant breakthrough in the field of optical microscopy imaging in this century, breaking the resolution limit of optical microscopy and providi...

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Problems solved by technology

[0004] In order to solve the problem of resolution reduction caused by the primary aberration of the optical system and the impact of deep biological sample scattering on the distribution of annular extinction light in the background technology, the present invention provides a high-speed adaptive optical annular spot based on machine learning Calibration systems and methods

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