Measurement system and method for mechanical intrinsic parameters of single cell based on electrical impedance signal

Abstract

The invention belongs to the technical field of cell analysis and measurement, and particularly relates to a measurement system and method for mechanical intrinsic parameters of a single cell based on an electrical impedance signal. The measurement system for the mechanical intrinsic parameters of the single cell based on the electrical impedance signal is composed of a microfluidic system, a multi-frequency impedance measuring system and a real-time processing algorithm system which are connected in series. The measurement method of the measurement system for the mechanical intrinsic parameters of the single cell comprises the following steps: carrying out measuring by using the impedance measuring system; acquiring the impedance value of the single cell by utilizing the spatial coupling of a flow channel structure and an electrode position and by using the high time resolution characteristic of an electrical impedance measurement electric signal, thereby obtaining the spatial-temporal form information of the single cell; and conducting high-flux real-time intrinsic mechanical parameter measurement on the single cell by fitting a single cell mechanical model. According to the method, the dynamic spatial position and deformation of the cell can be solved without a traditional high-speed camera, and high-flux real-time measurement of the mechanical intrinsic parameters of the single cell is realized.

Description

technical field [0001] The invention belongs to the technical field of cell analysis and measurement, in particular to a single-cell mechanical intrinsic parameter measurement system and method based on electrical impedance signals. Background technique [0002] Single-cell characterization provides information about the basic structure, function, and pathological state of cells, and plays an important role in revealing cell heterogeneity, which is of great significance to life science research, disease diagnosis, and personalized medicine. For a long time, fluorescent labeling has been the main tool for single-cell analysis and imaging. It uses molecularly specific detection labels (such as fluorescent dyes, quantum dots, magnetic beads, and stable isotopes, etc.) its status. Fluorescent labeling of cells not only requires prior knowledge of cell-specificity, but the invasive manipulation of the labeling process can alter the state of the cells, complicate the analysis pro...

AI Technical Summary

Problems solved by technology

In order to ensure high-throughput, these methods need to use complex and expensive high-speed imaging systems to obtain the dynamic stress deformation process of cells, and require corresponding image processing algorithms and high computing power to extract the amount of cell deformation, so they can only be obtained in real time. Computing power requires a very low amount of deformation or qualitatively characterizes a single cell through phenomenological parameters such as time, and cannot solve the intrinsic parameters of the mechanical properties of the cell (Young's modulus, fluidity), resulting in measurement results that are highly dependent on the measurement platform , and cannot be compared across platforms

[0005] In high-throughput measurement scenarios, individual cells can only be qualitatively characterized by phenomenological parameters such as passage time, deformation amount, and relaxation index, making the measurement results highly dependent on the measurement platform and impossible to compare across different platforms

The measurement of the mechanical intrinsic parameters of single cells often requires the use of expensive high-speed imaging devices and complex image processing algorithms to capture the dynamic process of cell stress and deformation at the millisecond level. The large amount of image data generated consumes a lot of computing power and can only be done offline. analysis, difficult to achieve real-time cell detection

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