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Automatic tracking method for video frequency microscopic image cell

A microscopic image and automatic tracking technology, which is applied in the field of cell biology and biopharmaceuticals, can solve the problems of cell division and the intersection of multi-cellular motion trajectories and difficult to handle.

Inactive Publication Date: 2008-03-19
HANGZHOU DIANZI UNIV
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AI Technical Summary

Problems solved by technology

Although these devices can calculate the position of cells on the image through image processing and analysis software, it is difficult to deal with complex phenomena such as cell division and combination, cell aggregation and separation of cell groups, and the intersection of multi-cell movement trajectories.

Method used

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  • Automatic tracking method for video frequency microscopic image cell
  • Automatic tracking method for video frequency microscopic image cell
  • Automatic tracking method for video frequency microscopic image cell

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Embodiment Construction

[0040] The method for automatically tracking cells in a video microscopic image comprises the following steps: 1. Obtain a real-time cell motion image through a phase contrast microscope, and enhance the acquired cell motion video microscopic image frame by frame; 2. From the enhanced cell motion image 3. Establish a dynamic model of cell movement; 4. Track the moving target cells.

[0041] The enhancement processing of the video microscopic image in step 1 adopts the generalized fuzzy enhancement processing method, and the specific steps are as follows:

[0042](1) In order to weaken the granular noise in the image, in general, the neighborhood average can be used to reduce the noise in the spatial domain. In the frequency domain, because the noise spectrum is mostly in the high frequency band, various forms of low-pass filtering methods can be used to reduce noise. In order to avoid image edge blurring and remove impulse noise and so-called "salt-and-pepper" noise (Salt-and...

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Abstract

The invention relates to an automatic cell tracking method for a video microscope image. The existing tracking method has lower degree of automation, and can not adapt to the complex polytropism of the cell movement form and the multi-cell movement tracking. The invention comprises the steps that the abstained video microscope image of the cell movement is enhanced frame by frame; and a target cell is extracted form the enhanced cell movement image to establish the dynamic model of the cell movement for tracking moving target cell. On the basis of analyzing the characteristics of the cell movement and the noise and interference characteristics in the image, the invention adopts the method of dynamic system modeling and stochastic modeling, and through recursing Bayesian filtering and the data connectivity technology, to track the movement trajectory of the cell, and thereby, the automation degree is high, as well as the processing capability is strong.

Description

technical field [0001] The invention belongs to the field of cell biology and biopharmaceuticals, and relates to a method for automatic tracking of cells in video microscopic images. Background technique [0002] Cell tracking refers to the qualitative or quantitative analysis of the trajectory, speed, color, shape and other attributes of specific cells within the observation time. It has very important research significance and practical value in biology, pharmacology and pathology. [0003] At present, the domestic cell tracking method is mainly manual timing detection and recording with the aid of microscopic equipment, and its degree of automation is relatively low. On the one hand, it requires the staff to work hard and has high labor intensity; on the other hand, due to the complexity and variability of cell movement (such as cell division, combination, aggregation, crossover) and the noise and interference of the video image itself, It makes the manual observation p...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/84G01N15/10C12Q1/02G06F17/00G06T5/00
Inventor 彭冬亮林岳松金朝阳薛安克陈华杰朱胜利郭云飞
Owner HANGZHOU DIANZI UNIV
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