Sequence slice-based microscope image acquisition method

Abstract

The present invention discloses a sequence slice-based microscope image acquisition method. The method includes the following steps that: sequence slice samples and the navigation chart thereof are acquired; an image processing and machine learning method is adopted to identify and mark the sequence slice samples in the navigation chart; the sequence slice samples are arranged in a microscope, any pixel in the navigation chart is navigated to the center of the field of view of the microscope; the sequence slice samples are positioned under a low-resolution field of view, and binding is performed on sample acquisition parameters; and based on the binding of the sample acquisition parameters, the relative position relation of the center point of a high-resolution acquisition region and the matched center point of a sample template is recorded; and sample point image continuous image acquisition is performed based on the sample acquisition parameters and the relative position relation. With the sequence slice-based microscope image acquisition method of the technical schemes of the invention adopted, the automatic acquisition of the images of sample regions of interest can be completed efficiently, and the automatic imaging of the continuous regions of large-scale sequence samples under a condition that a microscope (an electronic microscope or optical microscope) with an automatic control interface is adopted can be realized.

Description

technical field [0001] Embodiments of the present invention relate to the field of imaging technology, and in particular to a method for acquiring microscope images based on sequential slices. Background technique [0002] Ultra-thin serial section 3D imaging technology refers to the technology of cutting biological tissue into ultra-thin serial sections or slices, and using electron microscope to image them one by one; according to different segmentation techniques, it is mainly divided into serial section imaging and serial slice imaging. Types: (1) Sequential cross-sectional imaging is the combination of slicing and imaging in the sample cavity of the electron microscope. This type of method has close resolution in the horizontal and vertical directions and is isotropic. The disadvantage lies in the destructive slicing method. Once the data is found (2) Sequential slice imaging method cuts the sample into serial slices using an ultra-thin section device, collects them wit...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a microscope image acquisition method based on serial slices to solve the technical problem of how to efficiently complete the automatic acquisition of images of sample regions of interest

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