Optical fiber bundle super-resolution imaging method, system, computer equipment and storage medium

Abstract

The invention discloses an optical fiber bundle super-resolution imaging, a system, computer equipment and a storage medium, and belongs to the field of optical fiber bundle imaging. The method includes: acquiring a plurality of sample fluorescence images irradiated by different structured light through the optical fiber bundle; calculating and obtaining a wide-field image; The low-resolution sample image is obtained by calculation; the optical fiber bundle structured light illumination image corresponding to each sample fluorescence image is calculated; the covariance image and its optical transfer function are calculated; the super-resolution sample image is calculated and reconstructed. The invention can not only remove the honeycomb structure existing in the optical fiber bundle image, but also apply the super-resolution concept to the optical fiber bundle imaging to realize high-resolution imaging.

Description

technical field [0001] The invention belongs to the field of optical fiber bundle imaging, in particular to an optical fiber bundle super-resolution imaging method, system, computer equipment and storage medium. Background technique [0002] Fiber optic bundles have played an important role in endoscopic imaging, providing cellular-level visualization for the diagnosis of a range of diseases in vivo. Typically, fiber optic bundles contain a large number of fiber cores (typically up to 30,000) that simultaneously transmit and acquire optical signals. However, the distance between the cores (i.e., the cladding) will cause a noticeable honeycomb pattern on the acquired image, thereby degrading the image quality and imaging resolution. [0003] At present, the commonly used method is to use Gaussian filtering (such as the paper "Pixelation effect removal from fiber bundle probe based optical coherence tomography imaging") or linear interpolation (such as the fiber bundle image ...

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Problems solved by technology

However, the above method only realizes the fusion and splicing of multiple images, and cannot break through the diffraction limit of existing imaging systems.

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