High-throughput super-resolution imaging system and method based on monomolecular positioning

Abstract

The invention discloses a high-throughput super-resolution imaging method and a high-throughput super-resolution imaging system based on monomolecular positioning. The system comprises an imaging light path module, an image sensor module, an image processing module and an image display module, wherein the imaging light path module maps an imaging viewing field into the image sensor module; the image sensor module images the imaging viewing field at a high speed; the image processing module acquires an image which is formed at the high speed and processes the image; and the image display module displays an image processing result in real time. The method comprises the following steps of: imaging the imaging viewing field at a high speed by the image sensor module; acquiring the image which is formed at the high speed by the image processing module, and processing the image; and displaying the image processing result in real time by the image display module. According to the high-throughput super-resolution imaging system and the method based on the monomolecular positioning provided by the invention, limit of an interface space on high-throughput super-resolution imaging is broken, and real-time, quick and high-throughput super-resolution imaging can be realized.

Description

Technical field [0001] The invention belongs to the technical field of super-resolution imaging, and particularly relates to a high-throughput super-resolution imaging system and method based on single-molecule positioning. Background technique [0002] For super-resolution imaging systems based on single-molecule positioning, the industry now generally believes that EMCCD is a necessary detector for the system. The development of super-resolution imaging technology requires a larger imaging field of view in space and a faster imaging speed in time. The main problem with the traditional EMCCD is that the number of pixels of the EMCCD is relatively small in terms of imaging field of view. The industry generally believes that 1 pixel corresponds to 100nm 2 The field of view area is the best imaging state, so that the signal-to-noise ratio and resolution can be balanced. According to this standard, the imaging field of view of EMCCD is relatively small. [0003] In terms of imaging...

AI Technical Summary

Problems solved by technology

The main problem of the traditional EMCCD is: In terms of imaging field of view, the number of pixels of EMCCD is relatively small

[0005] With the increasing requirements of life science research on the field of view area and imaging speed of super-resolution microscopic imaging, traditional super-resolution imaging systems and methods have been unable to meet the requirements.

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