Circulating tumor cell detection and analysis device

By combining high-resolution cameras and image processing technology with staining quality monitoring, the problem that traditional circulating tumor cell detection is easily interfered with by human factors is solved, and more accurate and stable detection results are achieved, supporting early tumor diagnosis and treatment.

CN120628952APending Publication Date: 2025-09-12SHENZHEN HENGRUI LIFE TECH CO LTD
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Patent Information

Application Number
CN202511040674.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-07-28
Publication Date
2025-09-12

AI Technical Summary

Technical Problem

Traditional circulating tumor cell detection methods are easily interfered with by human factors, resulting in inaccurate and unstable test results.

Method used

A circulating tumor cell detection and analysis device was designed. Through multi-angle shooting with a high-resolution camera, image processing, and a deep learning target detection network, combined with a staining quality monitoring system, the fluorescence signal, temperature, and pH value were monitored in real time to ensure the accuracy and stability of the detection process.

Benefits of technology

It improves the accuracy and stability of circulating tumor cell detection, can detect equipment failure in a timely manner, reduce misdiagnosis and waste of resources, and support early tumor diagnosis and treatment strategies.

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Abstract

The invention discloses a circulating tumor cell detection and analysis device, and belongs to the field of cell detection. A circulating tumor cell detection and analysis device comprises a box body, a sample tube, a mixing device and a glass slide area, an operation panel and a PLC are arranged on the front face of the box body, the sample tube, the mixing device and the glass slide area are arranged in the box body, a circulating tumor cell detection system A is further arranged in the box body, and a dyeing quality monitoring system B is arranged on the mixing device. The problem that the detection result is not accurate and stable enough due to limitation in the prior art is solved, various characteristics of the circulating tumor cells can be accurately recognized by collecting the images and performing a series of operations in cooperation with the deep learning target detection network, a reliable basis is provided for diagnosis, and the detection efficiency is improved. By monitoring the fluorescence signal, the temperature, the pH value and the like in real time, the dyeing quality can be strictly controlled, the reliability of the detection result is ensured, and misdiagnosis caused by the dyeing problem is avoided.
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