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Method for synchronously tracking multiple cells in high-adhesion cell environment

A cell environment and synchronous tracking technology, which is applied in the field of multi-cell tracking, can solve the problems of inapplicable cell adhesion, increased computational complexity, and limited applicability of weight parameters, so as to avoid uncertainty problems, excellent tracking effect, The effect of small amount of calculation

Inactive Publication Date: 2014-02-05
苏州相城常理工技术转移中心有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This invention has the following disadvantages: (1) It can be seen from the description that this patent works well in the state of relatively separated cells, but it is not applicable to the state with a high degree of cell adhesion
The nearest neighbor algorithm is judged by similar objects, and the cost function is also judged by similarity, which increases the complexity of calculation; (3) This method introduces the problem of assigning different feature weights while determining the cost function, although it increases However, the selection of weight parameters and the matching of parameters to precision limit its applicability.

Method used

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  • Method for synchronously tracking multiple cells in high-adhesion cell environment
  • Method for synchronously tracking multiple cells in high-adhesion cell environment
  • Method for synchronously tracking multiple cells in high-adhesion cell environment

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Experimental program
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Embodiment

[0038] Cell tracking needs to solve two problems, the first is cell segmentation, and then the cells are tracked. The flow chart of multi-cell synchronous tracking method in the environment of high adhesion cells is shown in the attached figure 1 .

[0039] The segmentation method in the state of high degree of cell adhesion is shown in the attached figure 2 .

[0040] The specific cell segmentation algorithm is as follows:

[0041] 1. Read in the i-th frame image and transform it into a grayscale image;

[0042] 2. Pre-segmentation is realized by extending the minimal transformation, and a rough segmented binary image is obtained;

[0043] 3. Negate the obtained binary image and perform distance transformation according to the formula;

[0044]

[0045] 4. Use watershed segmentation;

[0046] 5. Cell feature matching filtering;

[0047] 6. The segmented image is read into the next frame.

[0048] Step 5 is cell feature matching filtering. The reason why cell feature ...

experiment example

[0081] The experimental analysis part extracts 15 frames from the image sequence to verify the validity of segmentation and the accuracy of tracking. For the cell segmentation image, a piece is randomly selected from the sequence image for segmentation and analysis, and the level set segmentation method is added to verify the effectiveness of the comparison ratio; cell tracking, the method proposed in the present invention is combined with the tracking method through the detection method and particle filter Methods were compared to verify the effectiveness of the method.

[0082] 1. Cell segmentation

[0083] In the cell segmentation method of the present invention, the basic connected areas are obtained by pre-segmentation, distance transformation and watershed segmentation, and then the extracted cell features are used as constraints to further divide the cells and reduce the influence of noise. The segmentation process and results are as follows image 3 Shown:

[0084] ...

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Abstract

The invention belongs to the field of cell tracking, and discloses a method for synchronously tracking multiple cells in a high-adhesion cell environment. In a cell sequence image, how to divide and synchronously track the cells is an unsolved problem, and especially the problem of tracking and dividing the cells under the high-adhesion condition urgently needs to be solved. An improved dividing algorithm based on watersheds and multi-feature matching is firstly provided to achieve cell dividing, then a motion model suitable for Kalman filtering is built, the multi-feature matching is added to achieve cell predication and tracking. Through experimental verification, the method is effective, the average effective rate of dividing sequence frame cells is 94.4%, and the tracking effect is superior to that of the tracking method in the prior art.

Description

technical field [0001] The invention belongs to the field of multi-cell tracking, and more particularly relates to a multi-cell synchronous tracking method in a high adhesion degree cell environment. Background technique [0002] The study of cell movement has always been an important part of cytology and biology research, but the traditional research method has gradually become less applicable as the technology is becoming more and more innovative. , Classification, counting, tracking, etc. not only require a lot of tedious human operations, but also tend to make the operator fatigued and affect the correctness of the results, and their reusability is relatively low. After long-term practice and research, medical experts at home and abroad have reached a consensus that digital video technology and digital image processing technology should be introduced in cell movement research, thereby greatly improving research efficiency and reducing the burden on researchers. Compu...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20G06T5/00
Inventor 王飞徐本连
Owner 苏州相城常理工技术转移中心有限公司
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