Single-cell mechanical intrinsic parameter measurement system and method based on electrical impedance signal

Abstract

The invention discloses and 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. The single-cell mechanical intrinsic parameter measurement system based on electrical impedance signals is composed of a microfluidic system, a multi-frequency impedance measurement system and a real-time processing algorithm system in series: the measurement method of the single-cell mechanical intrinsic parameter measurement system includes impedance measurement system measurement , Collecting the impedance value of a single cell is to use the spatial coupling between the flow channel structure and the electrode position, as well as the high temporal resolution characteristics of the electrical impedance measurement electrical signal, to obtain the spatiotemporal morphological information of a single cell, and to achieve a single cell by fitting the single cell mechanical model. High-throughput real-time intrinsic mechanical parameter measurement of cells. The invention can solve the dynamic space position and deformation of cells without the need of a traditional high-speed camera, and realize the high-throughput real-time measurement of the mechanical intrinsic parameters of a single cell.

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 basic structural, functional information and pathological status of cells, plays an important role in revealing cellular heterogeneity, and 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 molecular-specific detection labels (such as fluorescent dyes, quantum dots, magnetic beads, and stable isotopes) to identify cell components and its status. Fluorescent labeling of cells not only requires cell-specific prior knowledge, but the invasive manipulation of the labeling process can alter the cell state, complicate the analysis pr...

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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