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A GPU-accelerated deconvolution algorithm for 3D fluorescence microscopy images

A technology of microscopic images and three-dimensional fluorescence, applied in the field of deconvolution algorithm, can solve the problem of inability to deconvolute three-dimensional images, and achieve the effect of solving deconvolution and speeding up

Active Publication Date: 2019-01-29
ZHEJIANG UNIV
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Problems solved by technology

The traditional Richardson Lucy algorithm is only a deconvolution operation for two-dimensional images, and cannot perform effective deconvolution processing for three-dimensional images

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  • A GPU-accelerated deconvolution algorithm for 3D fluorescence microscopy images
  • A GPU-accelerated deconvolution algorithm for 3D fluorescence microscopy images
  • A GPU-accelerated deconvolution algorithm for 3D fluorescence microscopy images

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Embodiment Construction

[0053] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0054] like figure 1 As shown, the present invention is based on the deconvolution algorithm of the three-dimensional fluorescence microscopic image accelerated by GPU, comprising the following steps:

[0055] (1) Use a dual-view light-sheet fluorescence microscope to collect the image matrix f of the biological sample viewing angle A A and the image matrix f of view B B ; and calculate the point spread function h of the system according to the imaging diffraction model A and the point spread function h B .

[0056] (2) For the point spread function h A and the point spread function h B Perform the following flips to obtain the flip matrix respectively and And perform Fourier transform, and perform the flipping process through the following two ...

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Abstract

The invention discloses a GPU (graphic processing unit) acceleration-based deconvolution algorithm for a three-dimensional fluorescence microscopic image. According to the algorithm, the imaging degradation model of a three-dimensional fluorescent sample is established based on the light-sheet microscopic imaging technique. The traditional two-dimensional Richardson Lucy algorithm is adopted for further improvement and is applied to the combined deconvolution treatment of a dual-visual-angle light-sheet fluorescence image. At the same time, the GPU acceleration of the improved combined deconvolution algorithm is conducted, so that the operation speed of the deconvolution treatment is improved. According to the technical scheme of the invention, the deconvolution problem of dual-visual-angle images is effectively solved. Through the GPU acceleration, the algorithm can be used for processing mass data obtained during the long-time continuous imaging of a light-sheet fluorescence microscope.

Description

technical field [0001] The invention belongs to the technical field of biological microscope imaging, and in particular relates to a GPU-accelerated three-dimensional fluorescence microscopic image deconvolution algorithm. Background technique [0002] Modern life science is a modern scientific system based on the observation and experiment of life phenomena with life as the research object, so the observation and research of the dynamic process of biomolecules occupies a pivotal position in the research of modern life science. In recent years, in terms of three-dimensional (plus time, four dimensions) imaging of large samples such as animal and plant tissues, organs, and embryos, Light Sheet Fluorescence Microscopy (Light Sheet Fluorescence Microscopy) with low phototoxicity and high imaging speed , LSFM) as a non-invasive microscopic imaging technique is favored by scientists. [0003] The experimental image acquisition device in this study is a Dual-View Selective Plane ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T15/00
CPCG06T15/00
Inventor 刘华锋郭敏李良骥
Owner ZHEJIANG UNIV
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