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High-speed and high-resolution scanning microscopic imaging system and method based on machine learning

A technology of scanning microscopy and machine learning, which is applied in the field of optogenetics and optical microscopy imaging, can solve problems such as the inability to take into account the time cost and imaging quality, unfavorable real-time imaging detection of living organisms, and restrictions on practical applications, etc., to achieve slow solution speed , Fast correction speed and high accuracy

Active Publication Date: 2019-03-29
杭州领脑科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] However, the above phase correction process needs to consume a lot of time, and cannot take into account the time cost and imaging quality, which is not conducive to real-time imaging detection in living organisms, which restricts its practical application in the field of biomedicine

Method used

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  • High-speed and high-resolution scanning microscopic imaging system and method based on machine learning

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Embodiment Construction

[0047] Below in conjunction with accompanying drawing and embodiment the present invention will be further described, and its specific process is as follows:

[0048] Such as figure 1 As shown, the system implemented in the present invention includes a laser 1, an optical fiber 2, a collimator lens 3, a mirror 4, a spatial light modulator 5, a front attenuation module lens 6, a rear attenuation module lens 7, and a dichroic mirror 8 , scanning module 9, front beam expander module lens 10, rear beam expander module lens 11, the first microscopic objective lens 12, experimental sample 13, the second microscopic objective lens 14, the first optical filter 15, the first microlens 16 , the first detection module 17, the second optical filter 18, the second microlens 19, the optical pinhole 20 and the second detection module 21; the propagation of the imaging optical path is: the laser beam emitted by the laser 1 passes through after being spatially filtered by the optical fiber 2 ...

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Abstract

The invention discloses a high-speed and high-resolution scanning microscopic imaging system and method based on machine learning. The phase distribution is obtained by combination of Zernike polynomial coefficients and loaded into a spatial light modulator to obtain distortion focus spots; the light intensity distribution of all the distortion focus spots and the corresponding Zernike polynomialcoefficients are input into machine learning network, and training is performed to obtain a correction model; the light intensity distribution of the distortion focus spots is input into the correction model, and calculation is performed to obtain various Zernike polynomial coefficients and obtain the corrected phase distribution; the corrected phase is loaded on the spatial light modulator to achieve aberration correction so as to reconstruct a high-quality focus spot. The correction speed of optical aberration is improved, fast aberration correction in the process of optical microscopic imaging is achieved, a new idea is provided for high resolution imaging and high precision detection deep inside a living biological tissue, and a good application prospect is achieved in the field of biomedical research.

Description

technical field [0001] The invention belongs to the field of optogenetics and optical microscopic imaging, in particular to a high-speed and high-resolution scanning microscopic imaging system and method based on machine learning, which is applied to high-resolution optical microscopic imaging and optogenetics deep inside thick scattering media Learn precise photostimulation. Background technique [0002] In biomedical research, optical microscopic imaging technology is often used to obtain biological tissue information. However, when imaging deep inside biological tissue, due to the inhomogeneity of the refractive index of biological tissue, the production accuracy error of optical components, and the mismatch of refractive index between media, optical aberrations often occur during the imaging process, resulting in wavefront distortion. , which seriously affects the focusing of the incident light, thereby affecting the imaging quality. And as the depth increases, the int...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00G01N21/64
CPCA61B5/0062A61B5/0071G01N21/6486
Inventor 龚薇斯科胡淑文章一叶胡乐佳
Owner 杭州领脑科技有限公司
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