Device and method for real-time registration of scanning electron microscope images for sequential slices

Abstract

The invention relates to the field of scanning electron microscope image registration, particularly relates to a sequential slice oriented real-time registration device and method for a scanning electron microscope image, and aims to improve the instantaneity of the electron microscope image registration. The real-time registration device comprises an FPGA (Field Programmable Gate Array) and a calculation server, wherein the calculation server comprises a CPU (Central Processing Unit) and a GPU (Graphics Processing Unit); the FPGA is used for directly connecting with an electron microscope toobtain sequential slice image data in real time, calculating a corresponding point between adjacent slice images and finally sending the image data obtained from the electron microscope and the information of the corresponding point between adjacent slices to the calculation server; the CPU in the calculation server regulates and optimizes a corresponding point position obtained by matching in thesequential slice; and the GPU in the calculation server carries out image deformation according to the regulated corresponding point position. By use of the device, a high-accuracy low-time-delay long-sequence registration ability for the high-flux image data of an electron microscope system can be formed, and the real-time registration requirement of high-flux electron microscope sequential slice imaging is met.

Description

Technical field [0001] The invention relates to the field of scanning electron microscope image registration, in particular to a real-time registration device and method for scanning electron microscope images for sequential slices. Background technique [0002] The brain connection map research understands the working principle of the brain by constructing the structure of the nervous system from the macro, mesoscopic and micro scales, and the consistency with physiological functions. The micro-scale connection map is dedicated to obtaining the connections of neurons and synapses and other fine structures The internet. The clear imaging of synapse structure must rely on the nano-scale observation method-electron microscope, in order to track the weakest (20-30 nanometers) neurite connecting lines in the dense nerve fiber network. [0003] The micro-scale neural structure connection network generally obtains its three-dimensional appearance through the three-dimensional reconstruc...

AI Technical Summary

Problems solved by technology

The inability to quickly and stably obtain the high-resolution 3D electron microscope image library of neural tissue has become one of the bottlenecks limiting the establishment of a large-scale synapse-level neural network. However, there is a lack of effective and complete solutions at home and abroad.

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