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A Multispectral Stacked Imaging Method Based on Aperture Scanning

A stacked imaging, multi-spectral technology, applied in the field of optical computing, can solve the problems affecting the quality of high-resolution images, errors, etc., to achieve the effect of improving imaging quality, high resolution, and reducing aberrations

Active Publication Date: 2021-12-10
HANGZHOU DIANZI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, if the spatial pupil function of this method has not been updated, it will cause errors and affect the quality of the final synthesized high-resolution image

Method used

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  • A Multispectral Stacked Imaging Method Based on Aperture Scanning
  • A Multispectral Stacked Imaging Method Based on Aperture Scanning
  • A Multispectral Stacked Imaging Method Based on Aperture Scanning

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Embodiment Construction

[0023] A multi-spectral stack imaging method based on aperture scanning, specifically comprising the following steps:

[0024] Step 1. Build the equipment. Use an objective, a circular aperture, a diffraction grating, a lens, an encoding mask and a monochrome camera with an LED light source. The lens has a focal length of 50 mm; the circular aperture has a radius of 2.5 mm; and a monochrome camera with a pixel size of 3.45 µm is used to capture the sample spectrum. Place the objective lens, circular aperture, diffraction grating, lens, encoding mask and monochrome camera in sequence. The LED light is placed in front of the objective lens, and the sample is placed between the objective lens and the LED light, and the circular hole can be scanned and moved. Specific visible figure 2 .

[0025] Step 2. Initially assume a high-resolution image I(u).

[0026] Step 3. As mentioned in the previous construction of the equipment, the aperture can move and scan circularly. For the...

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Abstract

The invention is a multi-spectrum lamination imaging method based on aperture scanning. The present invention replaces the LED matrix with aperture scanning, adopts single-beam light irradiation, the light wave emitted from the sample passes through the aperture, and obtains low-resolution images from different positions of the sample through aperture circular scanning and hyperspectral processing. processing to obtain a high-resolution image of the sample. On the premise of realizing stacked imaging, it overcomes the shortcomings of LED matrix. The pupil function and the sample spectrum are also updated iteratively, and the resolution of the obtained imaging picture is higher by converging the pupil function. Hyperspectral imaging is introduced to further understand the nature of the sample through hyperspectral imaging, thereby constructing a clearer image, enabling a more thorough analysis of the sample, and providing conditions for the analysis of the sample.

Description

technical field [0001] The invention relates to the field of optical computing, in particular to a multi-spectral stacked imaging method based on aperture scanning. Background technique [0002] Fourier stack microscopic imaging technology is a new computational imaging technology in the past ten years. It overcomes the problem that previous microscopes cannot take into account both large field of view and high resolution at the same time, and has many advantages such as large field of view, high resolution, and quantitative phase imaging. Since the lamination imaging technology was proposed in 2013, it has attracted the attention of various fields such as optical microscopy, biomedicine, and life sciences, and has been widely used. In this method, the phase recovery iterative algorithm is used to find the unique complex solution that satisfies the constraints of multiple far-field diffraction intensity images in the overlapping scanning mode. The resolution of this imagin...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01J3/28G01N21/25
CPCG01J3/2823G01N21/25
Inventor 颜成钢姚婷婷方运志孙垚棋张继勇张勇东韩卫东沈韬
Owner HANGZHOU DIANZI UNIV
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