Systems and methods for image processing

A method for image processing implemented on a computing device having one or more processors and one or more storage devices, comprising:

• obtaining multi-dimensional image data, wherein the multi-dimensional image data is generated by a fluorescence microscopy;
• generating an initial multi-dimensional image based on the multi-dimensional image data;
• and
• constructing an objective function based on an acquisition process of the multi-dimensional image data, and generating a target image by performing one or more iterations on the initial multi-dimensional image according to the objective function;
• wherein:
• the objective function includes a fidelity term and a regularization term,
• the fidelity term is related to an imaging physical model of the fluorescence microscopy, and
• the regularization term is determined using a regularization network.

A system for image processing, comprising:

• at least one storage device including a set of instructions;
• and
• at least one processor in communication with the at least one storage device, wherein when executing the set of instructions, the at least one processor is directed to cause the system to perform operations including:
• obtaining multi-dimensional image data, wherein the multi-dimensional image data is generated by a fluorescence microscopy;
• generating an initial multi-dimensional image based on the multi-dimensional image data;
• and
• constructing an objective function based on an acquisition process of the multi-dimensional image data, and generating a target image by performing one or more iterations on the initial multi-dimensional image according to the objective function;
• wherein:
• the objective function includes a fidelity term and a regularization term,
• the fidelity term is related to an imaging physical model of the fluorescence microscopy, and
• the regularization term is determined using a regularization network.

A method for image processing implemented on a computing device having one or more processors and one or more storage devices, comprising:

• obtaining image data, wherein the image data is generated by a fluorescence microscopy;
• generating an initial image based on the image data;
• and
• generating a target image by processing the initial image according to an objective function;
• wherein:
• the objective function is constructed based on an acquisition process of the image data,
• the objective function includes a fidelity term and a regularization term,
• the fidelity term is related to an imaging physical model of the fluorescence microscopy, and
• the regularization term is determined using a regularization network.