Flow velocity calibration method of flow cytometer and related equipment

By acquiring image sequences of sheath fluid droplets and calculating flow velocity characteristics using a multidimensional feature association confirmation method, combined with feedforward and feedback control strategies, the problem of inaccurate sheath fluid flow velocity control in flow cytometers was solved, achieving precise calibration and stable control of flow velocity, and improving the accuracy and reliability of detection results.

CN121253408AActive Publication Date: 2026-01-02JIHUA LAB
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Patent Information

Application Number
CN202511819176.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-04
Publication Date
2026-01-02
Estimated Expiration
2045-12-04

AI Technical Summary

Technical Problem

Current flow cytometers suffer from insufficient precision and poor stability in sheath fluid flow rate control, which affects the accuracy and reliability of the detection results.

Method used

By acquiring image sequences of sheath fluid droplets under different sheath fluid pressures, a multidimensional feature association confirmation method is used to filter out adjacent image groups of the same sheath fluid droplet, calculate the flow velocity characteristics, and generate the mapping relationship information between the flow velocity characteristics and the sheath fluid pressure. Combined with a composite control strategy that combines feedforward and feedback, stable control of the sheath fluid droplet flow velocity is achieved.

Benefits of technology

It achieves precise calibration and stable control of the sheath fluid flow rate in flow cytometers, significantly improving analytical performance and result reliability, and overcoming the problems of inaccurate flow rate control and poor stability in existing technologies.

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Abstract

The invention belongs to the technical field of flow cytometers, and discloses a flow velocity calibration method of a flow cytometer and related equipment, an image sequence of sheath liquid drops is obtained under different sheath liquid pressures, an effective image group is screened out by using a multi-dimensional feature association confirmation method, and then the flow velocity is calculated; on the basis, carrying out screening and characteristic calculation on the flow velocity data, and generating mapping relation information between flow velocity characteristics and sheath fluid pressure; and finally, based on a composite control strategy combining feedforward and feedback, sheath fluid pressure control is carried out in combination with the mapping relation information, so that the flow velocity of the sheath fluid drops is stabilized at the target flow velocity. The method effectively solves the problems of inaccurate flow velocity control and poor stability caused by a complex nonlinear relationship between the sheath fluid pressure and the actual flow velocity of a flow cytometer in the prior art.
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