An artificial intelligence-guided automated cell manipulation method and system

By using an artificial intelligence-based method, the position of the end effector of a micromanipulation device can be identified and tracked in real time, the motion trajectory can be dynamically corrected, and the operation results can be verified. This solves the problems of precision and reliability in microscale cell manipulation and improves experimental efficiency and result reliability.

CN122168804APending Publication Date: 2026-06-09FUDAN UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
FUDAN UNIVERSITY
Filing Date
2026-03-05
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

Existing technologies struggle to achieve high-precision target identification and localization, dynamic deformation compensation, and intelligent process control in microscopic cell manipulation, resulting in low experimental throughput, unreliable results, and poor reproducibility.

Method used

Using an artificial intelligence-based approach, a microscopic imaging system is used to identify and locate biological targets, track the position of the end effector of micromanipulation devices in real time, dynamically correct the motion trajectory, verify the operation results, and integrate multiple artificial intelligence modules for collaborative control.

Benefits of technology

It achieves high-precision target recognition and positioning, dynamic deformation compensation, improves experimental throughput and the standardization and repeatability of results, realizes seamless hardware collaborative operation, and improves experimental efficiency.

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Abstract

This invention discloses an automated cell manipulation method and system guided by artificial intelligence, comprising: identifying and locating the biological target object to be manipulated based on real-time images acquired by a microscopic imaging system to obtain target position information; calibrating and tracking the end-effector position of a micromanipulator based on the real-time images to obtain the real-time end-effector position; planning and dynamically correcting the motion trajectory of the micromanipulator based on the target position information and the real-time end-effector position until the end-effector reaches the preset target operation position, and controlling the micromanipulator to execute a preset interactive operation; verifying the operation result based on the real-time image after the operation to obtain the verification result, and controlling subsequent processes based on the verification result. This invention overcomes the inherent defects of traditional manual operation and semi-automated solutions in microscale cell manipulation through an end-to-end intelligent process, achieving high-precision, high-throughput, high-success-rate, and highly standardized cell manipulation.
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