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

Abstract

The invention discloses an optical fiber bundle super-resolution imaging method and system, computer equipment and a storage medium, and belongs to the field of optical fiber bundle imaging, and the method comprises the steps: obtaining a plurality of sample fluorescence images irradiated by different structured light through an optical fiber bundle; calculating and obtaining a wide-field image; calculating and obtaining a low-resolution sample image; calculating an optical fiber bundle structured light irradiation image corresponding to each sample fluorescence image; calculating a covarianceimage and an optical transfer function thereof; and calculating a reconstructed super-resolution sample image. According to the invention, the honeycomb structure of the optical fiber bundle image can be removed, and the super-resolution concept is applied to the optical fiber bundle imaging, so that the high-resolution imaging is realized.

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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