Target re-identification method and system of model organism tracking system

Abstract

The invention relates to a target re-identification method and system of a model organism tracking system. The method comprises the following steps: acquiring multiple frames of continuous images under a first experiment condition, and extracting a target connected domain in each frame of image; extracting each isolated connected domain in the target connected domain, and extracting the target positions of targets according to each isolated connected domain; extracting an intersection area of isolated connected domains of two adjacent frames; determining a primary association target according to the intersection area; processing the remaining targets by using a Hungary algorithm, and determining a secondary association target; according to the primary association target and the secondary association target, generating a continuous image sequence for the same single target in different frames of images, and training a convolutional neural network; according to the first frame image under a second experiment condition, utilizing the trained convolutional neural network to enable the target in the first frame image to correspond to the same target under a first experiment condition. Tracking efficiency is improved while target identification is carried out under different experiment conditions.

Description

technical field [0001] The invention relates to the field of model organism tracking systems, in particular to a target re-identification method and system for a model organism tracking system. Background technique [0002] Accurate tracking of the movement of model organisms is the basis for the operation of the micromanipulation system, and it is also an important means of verifying the effect of the micromanipulation. In biology, poisoning experiments and stress response experiments are often done. Drugs are placed in petri dishes with model organisms or external stimuli are applied, the movement of model organisms and responses to stimuli are tracked, and drug effects are evaluated by analyzing trajectories. and study the physiological functions of model organisms. [0003] In the field of model organism tracking, for a single video, a two-stage tracking algorithm is commonly used. The first step is to detect each target (such as obtaining the position of each target, h...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a target re-identification method and system for a model organism tracking system to solve the problem that when the number of targets is large, the algorithm operation efficiency drops sharply, and it can only achieve target tracking for a single video, but cannot track different videos. The problem of identifying the target, which makes it impossible to compare the behavior patterns of the same target under different experimental conditions

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