Super-resolution imaging system

Abstract

The invention discloses a super-resolution imaging system comprising a femtosecond laser, a picosecond laser, a first data acquisition card, a second data acquisition card and a spatial light modulator. The dissipation light generated by the femtosecond laser and the exciting light generated by the picosecond laser are emitted to a sample and then a fluorescence signal is generated. The second data acquisition card converts the fluorescence signal into voltage information. The voltage information acts as the fitness value of a genetic algorithm. The voltage information is calculated accordingto the genetic algorithm and a maximum voltage absolute value is obtained, and a phase diagram corresponding to the maximum voltage absolute value acts as a phase compensation diagram. The phase compensation diagram is superposed on the dissipation light to perform aberration correction on the dissipation light so that the aberration introduced in the STED imaging process can be overcome, the imaging depth and the spatial resolution of the STED super-resolution imaging system can be enhanced and thus the super-resolution imaging system can be widely applied in physical medicine and other fields.

Description

technical field [0001] The invention relates to the field of optical microscopic imaging, in particular to a super-resolution imaging system. Background technique [0002] In the optical system, if all the rays emitted from the object point are focused on one point through the STED super-resolution imaging system, then this point is called the perfect image of the object point. If the object point is in the vertical When moving on the plane, its perfect image also moves linearly on the vertical plane. This STED super-resolution imaging system is an ideal STED super-resolution imaging system. However, STED super-resolution imaging systems usually contain many optical components, such as many lenses, glass slides, dichroic mirrors and mirrors, and artificially built STED super-resolution imaging systems cannot achieve precise control of light. At the same time, biological samples have the characteristics of surface unevenness and internal refractive index distribution. These ...

AI Technical Summary

Problems solved by technology

[0004] The main purpose of the present invention is to provide a super-resolution imaging system, which aims to solve the problems existing in the existing STED super-resolution imaging system due to the inclusion of many optical elements, the surface unevenness of biological samples, and the non-uniformity of the internal refractive index distribution. Characteristics and other factors will bring aberrations to the STED super-resolution imaging system, reduce the imaging depth and spatial resolution of the STED super-resolution imaging system, affect the imaging quality, and limit its technical problems in biomedical applications

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