Control method of cell localization probe

Abstract

The invention provides a control method of a cell localization probe, which comprises the speed control of the probe, and the speed control comprises the following steps: obtaining an image of the probe, extracting an area S comprising a needle tip, and counting a gray level histogram of the area S; performing multi-Gaussian fitting on the gray level histogram to obtain a peak value Ai corresponding to each peak, i = 1, 2... n, and N is an integer not less than 2; if the peak value and the H1 are first threshold values, controlling the probe to move towards the cell at a first speed v1; if the peak sum is obtained, the area S is divided into a needle point area and a needle arm area, and the difference value delta R of the sharpness of the needle point area and the needle arm area is obtained; if the difference value delta R is smaller than R1, and R1 is a second threshold value, the probe is controlled to move towards the cells at a second speed v2; if the difference value delta R is larger than or equal to R1, the probe is controlled to move towards the cells at a third speed v3, and v2 is larger than v3 and smaller than v1. The device has the advantages of high probe moving efficiency, accurate judgment and the like.

Description

technical field [0001] The present invention relates to cell analysis, in particular to a control method of a cell localization probe. Background technique [0002] When analyzing cells with single-cell mass spectrometry systems, it is essential to control where the probes locate and make light contact with the cells. Therefore, it is necessary to control the probe to descend from the cell surface to the cell surface, and stop moving after contacting the cell. However, in this process, when the probe descends too fast, the needle tip is often broken; when the probe descends slowly, the work efficiency of the system is greatly reduced. Therefore, the control of the movement speed of the needle tip is very important; Over-contact or non-contact with cells in the Z direction (vertical to the stage) results in abnormal analysis results. It is of great significance to accurately detect whether the needle tip is in contact with cells in the Z direction. [0003] With the develop...

AI Technical Summary

Problems solved by technology

The traditional probe contact detection method usually requires additional auxiliary equipment for the system, such as: force sensor, microscope lens, etc., which increases the cost and complexity of the system; in addition, there are fewer needle tip contact detection algorithms, but the control accuracy low, poor applicability

Moreover, most researchers find cells by controlling the probe at a constant speed, which is inefficient and the tip of the needle is fragile, resulting in abnormal data

[0004] The existing methods mainly use contact force sensors and binocular vision to detect the contact of cells, which can realize the contact detection between the needle tip and the bottom surface, but increase the complexity of the microinjection system and the control algorithm, and increase the cost; The sliding distance of the needle tip is used to judge the contact between the needle tip and the bottom surface, but when the bottom surface is a non-smooth surface, the algorithm fails and the applicability is poor

In addition, some people descend a fixed distance based on prior data. This method has low control accuracy, and often leads to a decrease in the success rate of the system due to the lack of contact with the cells.

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