Guangzhou Computational Super-resolution Biotech Co., Ltd.

Guangzhou Computational Super-resolutions Biotech Co., Ltd.

Weisong Zhao

Haoyu Li

Liangyi Chen

Xiaoshuai Huang

Shiqun Zhao

Disclosed are a super-resolution microscopic imaging method and apparatus, a computer device, and a storage medium. The method includes the following steps: collecting a fluorescent signal sequence of a set of samples to be observed; determining the number of iterations of deconvolution; performing an iteration of pre-deconvolution on each frame of an initial image in the fluorescent signal sequence before outputting when the iteration reaches half of the number of iterations; performing two reconstructions on the output image; and performing a second iteration of deconvolution on the image after the two reconstructions before outputting when the iteration reaches the number of iterations or half of the number of iterations. The present disclosure, with advantages of non-parameterization, high throughput, and high resolution, can overcome the shortcomings and deficiencies of the prior art, and can be widely coupled to various imaging modalities, such as acoustic microscopy, that is, photoacoustic and ultrasound microscopic imaging technology.

Super-resolution microscopic imaging method and apparatus, computer device, and storage medium

Systems and methods for image processing are provided in the present disclosure. The systems may generate a preliminary image by filtering image data generated by an image acquisition device. The system may generate an intermediate image by performing, based on a first objective function, a first iterative operation on the preliminary image. The first objective function may include a first term associated with a first difference between the intermediate image and the preliminary image, a second term associated with continuity of the intermediate image and a third term associated with sparsity of the intermediate image. The systems may also generate a target image by performing, based on a second objective function, a second iterative operation on the intermediate image. The second objective function may be associated with a system matrix of the image acquisition device and a second difference between the intermediate image and the target image.

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Guangzhou, China

Weisong Zhao