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Neuron cell body automatic identification system based on fluorescence video

An automatic identification system and neuron cell technology, applied in the field of biological image processing, can solve problems such as misidentification, missed identification, and insufficient depth resolution

Pending Publication Date: 2020-07-03
南京景瑞康分子医药科技有限公司
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Problems solved by technology

[0003] In order to effectively solve the problem of missed recognition and wrong recognition of cell body automatic recognition results in fluorescent video, the present invention discloses a neuron cell body automatic recognition system based on fluorescent video, which is used to reduce the high signal-to-noise ratio of neuron cell body automatic recognition algorithm At the same time, it distinguishes the cell body area with spatial projection overlap caused by insufficient depth resolution of microscope imaging, especially provides friendly and convenient user preference settings for researchers, and provides stable and accurate neuron cell body automatic identification results

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  • Neuron cell body automatic identification system based on fluorescence video
  • Neuron cell body automatic identification system based on fluorescence video

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Embodiment Construction

[0020] Below in conjunction with accompanying drawing, further describe the present invention through embodiment, but do not limit the scope of the present invention in any way.

[0021] Such as figure 1 As shown, a kind of neuron cell body automatic recognition system based on fluorescent video of the present invention, comprises the construction video module Z 1 , cell body identification and segmentation module Z 2 and userpreferences module Z 3 . Among them, constructing the video module Z 1 Randomly scramble module Z by video 11 , Signal nonlinear normalization amplifier Z 12 and feature integration module Z 13 The cell body recognition and segmentation module Z2 consists of a three-dimensional tubular filter module Z 21 and connected domain typical section extraction module Z 22 composition.

[0022] In a specific embodiment, such as figure 2 As shown, the two-photon calcium imaging fluorescence video acquired by V 0 [X, Y, T 0 ] first passed to the construc...

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Abstract

The invention discloses a neuron cell body automatic identification system based on a fluorescence video. A fluorescence video is converted into a structure video with a high signal-to-noise ratio byusing a structure video module, a cell body area with overlapped spatial projections is identified and distinguished by using a cell body identification and segmentation module, friendly and convenient user preference setting is provided for a user, and finally, a stable and accurate neuron cell body automatic identification result is provided.

Description

technical field [0001] The invention relates to the field of biological image processing, in particular to an automatic identification system for neuron cell bodies based on fluorescence video. Background technique [0002] Fluorescence imaging is one of the main means to study the dynamic behavior of neuron populations in the field of neuroscience. After collecting the fluorescent video of neurons using a fluorescence microscope, the researchers identified the cell bodies of the neurons and extracted the signal curves of the cell bodies to analyze the individual and group dynamic behavior of neurons. However, the current classic neuron cell body automatic recognition system is still susceptible to the influence of the signal-to-noise ratio of the fluorescence video and the depth resolution of the microscope imaging, and the obtained automatic recognition results still have many cases of missing and wrong recognition of the cell body , which often requires researchers to ma...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/34G06T7/136G06T7/155
CPCG06T7/136G06T7/155G06T2207/10061G06T2207/10064G06V20/695G06V20/698G06V20/40G06V10/267
Inventor 吴钧杰王汉斌
Owner 南京景瑞康分子医药科技有限公司
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