Rapid random optical reconstruction imaging system and method based on sparse constraint

Abstract

The invention provides a rapid random optical reconstruction imaging system based on sparse constraint and a rapid random optical reconstruction imaging method based on sparse constraint. The system at least comprises an excitation light source module for generating polychromatic excitation light, a fiber coupling and full inner reflection module which receives the polychromatic excitation light and then forms collimating excitation light, an integration module which carries out imaging, scanning, space modulation and detection on the collimating excitation light, a time sequence motor control module which controls the excitation light source module, the fiber coupling and full inner reflection module and the integration module, and an imaging collection and analysis software package which detects collected data and carries out random reconstructed image processing and compression perception processing. According to the system and the method, the incoherence of a measurement domain and an image domain is perfectly satisfied, and the sparse constraint technology can play a maximum effect. While a nanometer level imaging resolution is achieved, the magnitude order of an existing super-resolution imaging speed is raised. In the condition of maintaining an original imaging speed, the spatial resolution is greatly improved.

Description

technical field [0001] The invention relates to the technical field of super-resolution imaging, in particular to a sparse constraint-based fast stochastic optical reconstruction imaging (STORM) device. Background technique [0002] The development of today's nanotechnology is inseparable from nanomicroscopic imaging technology. In this regard, electron scanning microscopes and atomic force microscopes have become standard configurations in many laboratories. However, optical detection technology has a strong advantage in studying microscopic internal states such as electronic structures, phonon states, and plasmons at the nanoscale, but limited by the optical diffraction limit, its imaging resolution cannot be less than λ / ( 2NA), where λ is the imaging light wavelength, and NA is the numerical aperture of the lens, so that the imaging resolution is generally greater than 180 nanometers, and the microscopic resolution is difficult to improve. To this end, researchers have c...

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Problems solved by technology

The compressive sensing algorithm has been found to have great potential for improving the sampling efficiency of wide-field super-resolution imaging technology. Several research groups, including Xiaowei Zhuang's research group who proposed the STORM technology, have also begun to study the use of different compressive sensing algorithms. From the perspective of signal processing, the sampling time of the above-mentioned optical super-resolution imaging technology is further shortened, but the measurement matrices used in it are all quasi-random matrices, which cannot give full play to the compression characteristics of sparse constraints.

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