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Processing method of point spread function

A point spread function and processing method technology, applied in the field of point spread function processing, can solve the problem of low resolution of microscope images, achieve wide application prospects, simplify hardware design and implementation, and improve the effect of signal reconstruction

Inactive Publication Date: 2016-03-09
程涛
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Problems solved by technology

[0004] In order to solve the problem of low resolution of microscope images, the present invention provides a processing method of point spread function

Method used

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  • Processing method of point spread function

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Experimental program
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specific Embodiment approach 1

[0017] Specific implementation mode one: according to the instructions attached figure 1 This embodiment will be specifically described. A processing method of a point spread function, the process of the method is:

[0018] Step 1: Based on the experiment, the point spread function of the microscope is fitted by a Gaussian function or a Bessel function, and the low-resolution image y recorded by the image recording camera of the microscope is divided into high-resolution grids with smaller pixels;

[0019] Step 2: Take the center of each grid as the source point of the point spread function, record the value of the point spread function on each pixel of the low-resolution image, and then connect the rows or columns of the values ​​on each pixel end to end to form a point-based column vector Φ of the spread function j ;

[0020] Step 3: The column vector Φ of the point spread function of all points in the grid based on the high-resolution grid j The matrix Φ based on the po...

specific Embodiment approach 2

[0027] Embodiment 2: This embodiment is a further description of the processing method of a point spread function described in Embodiment 1. In step 1, the large low-resolution image y can be recorded by an existing microscope with any resolution. An image of any resolution captured by the camera, y∈R M , x∈R N .

specific Embodiment approach 3

[0028] Specific implementation mode three: the following combination figure 2 — Figure 4 This embodiment will be specifically described. In this embodiment, Gaussian signals with different degrees of sparsity are used to correspond to the matrix Φ before and after processing. 169×4096 , the matrix size is 169×4096, compare the reconstruction probability of the reconstruction SBR greater than 90dB after each 500 experiments. figure 2 middle belt Marked is the curve before treatment; with Marked are post-treatment curves. figure 2 Indicates the calculation result of the OMP reconstruction algorithm; image 3 Indicates the calculation result of the BP reconstruction algorithm; Figure 4 Indicates the calculation result of the CVX reconstruction algorithm.

[0029] Experimental results such as Figure 2-Figure 4 shown. Depend on figure 2 It can be seen that based on the OMP reconstruction algorithm, the post-processing reconstruction effect curve is located above ...

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Abstract

The invention discloses a processing method of a point spread function in the technical field of microscopes. A method for processing a measurement matrix composed of point spread functions and low-resolution images acquired and obtained by a microscope to obtain a high-resolution reconstructed image is provided. The method comprises the steps of performing one-dimensional processing for point spread functions to form vectors; composing the measurement matrix by using the point spread function vector at each high-resolution grid center in order; then processing the measurement matrix and the low-resolution images recorded by a recording camera based on the microscope; and finally reconstructing through a compression sensing reconstructing algorithm to obtain high-resolution images. The processing method of the point spread function lays a foundation for compression sensing based optical super-resolution micro-imaging of super-diffraction limit to develop from theoretical research to functionization.

Description

technical field [0001] The invention belongs to the technical field of microscopy, and specifically provides a processing method for a point spread function. Background technique [0002] Super-resolution microscopy imaging enables the human eye to directly observe magnified microscopic processes and structures. Super-resolution microscopic imaging has a wide range of applications and demands in the fields of biology, medicine, materials, precision machinery and microelectronics, and is of great significance for solving frontier problems in engineering and science in various disciplines. The optical microscope in the visible light band has the advantages of non-contact, non-damage, and the ability to detect the interior of the sample, and is an important tool for studying organs, tissues, and cells. Due to the existence of the diffraction limit, the horizontal and vertical resolutions are only 200nm and 500nm, respectively. The theory and technology of optical super-resolu...

Claims

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Application Information

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IPC IPC(8): G06T5/00
CPCG06T2207/10061G06T5/73
Inventor 程涛
Owner 程涛
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