53 results about "Cell mechanics" patented technology

The invention is suitable for the technical field of cell analysis, and particularly relates to a cell mechanical phenotype analysis method and device based on deep learning, and the method comprises the following steps: obtaining a time sequence image, mechanical response data and culture environment parameters of a target cell; based on the mechanical response data and the culture environment parameters, performing region segmentation on the time sequence image, determining a mechanical sensitive region on the surface of the target cell and local deformation features of a subcellular structure, and realizing refined and targeted feature recognition; generating a mechanical phenotype descriptor of the target cell according to the mechanical sensitive area, the local deformation characteristics and the culture environment parameters to realize multi-modal data fusion; a mechanical phenotype analysis model obtained by training a sample mechanical phenotype descriptor of a sample cell in advance is used for processing the mechanical phenotype descriptor to obtain a heterogeneity prediction result of a target cell, the heterogeneity of the mechanical characteristics of the cell in a complex culture environment is automatically identified, and the dynamic nature and generalization ability of heterogeneity classification are remarkable.

The invention belongs to the technical field of cell mechanics biology experiment devices for health and rehabilitation engineering, and relates to a microfluidic device for endothelialization evaluation of a tissue engineering valve, which comprises a microfluidic chip, peripheral equipment, a signal acquisition and processing system and a feedback system. The biomechanical principle and the micro-fluidic chip technology are ingeniously combined, the control system, the mechanical loading device and the micro-fluidic chip are connected, a micro-fluidic endothelial cell culture cavity and a peripheral system are constructed, real-time accurate control over aortic valve blood flow is achieved through the PID control system, and the system is suitable for large-scale popularization and application. Shear stress applied to a tissue engineering valve endothelial cell culture area is generated, so that the real stress condition of the tissue engineering valve endothelial cells is simulated, and the method is used for analyzing and researching the influence rule of mechanical loading on the tissue engineering valve endothelial cells.

The invention discloses a microfluidic system for studying prevention and treatment of internal fistula dysfunction by hand pump intervention, and belongs to the technical field of cytomechanics biology microfluidic experimental devices for internal arteriovenous fistula health and rehabilitation. The system comprises a feedback control system, a fluid loading system, a multi-channel optical imaging system, a micro-fluidic chip, a detection system and a post-load system. The micro-fluidic chip is designed into a Y-shaped structure based on the geometric structure of the AVF. The fluid loading system is combined with the feedback control system and the after-load system, and WSS distribution characteristics corresponding to the endothelial surface of the AVF anastomosis position under different hand pump intervention conditions can be reproduced at the intersection of the Y-shaped chips. The system can accurately and comprehensively reproduce the distribution characteristics of the WSS on the endothelial surface at the AVF anastomosis position under the condition of hand pump intervention with different intensities and frequencies, can simply and intelligently carry out cell mechanics biology experiments, and provides a foundation for revealing a potential mechanics biology mechanism for preventing and treating internal fistula power loss through hand pump intervention. And a miniaturized, objective, standardized, quantitative and automatic experiment platform is provided.

The invention belongs to the technical field of biology, and discloses a controllable multi-channel three-dimensional dynamic culture system for simulating a cell mechanical microenvironment, the controllable multi-channel three-dimensional dynamic culture system comprises a driving platform, a flexible driver and a cell culture box, the flexible driver is provided with a planar substrate and an outer wall provided with a periodic protrusion structure, and is provided with a hollow structure serving as an air chamber; one end is connected with the air path module through an air hole channel, and the other end is sealed; a groove is also formed in the outer surface of the planar substrate and is used for accommodating cells to be cultured; the flexible driver air chamber can be pressurized or depressurized, so that the bending degree is enhanced or reduced according to the preset frequency, and a mechanical microenvironment is generated. The three-dimensional dynamic culture system constructed by the invention can simulate a cell mechanical microenvironment, realizes dynamic culture of cells, and promotes cell proliferation and expression of specific proteins. In addition, the system can be conveniently designed into multi-channel culture, and has a very good practical application prospect.

The invention discloses a microfluidic image flow cytometry identification system and a microfluidic image flow cytometry identification method based on multi-modal phase imaging and deep learning, relates to a microfluidic image flow cytometry detection technology, and belongs to the crossing field of microfluidics, optical imaging and artificial intelligence. The cell deformation chip is used for inducing a cell sample to generate controllable deformation through the cell deformation chip and discharging deformed cells; the optical imaging unit is used for scanning the deformed cells and collecting multi-modal phase images of the deformed cells; the data processing and analysis unit is used for preprocessing the multi-modal phase image and performing cell intelligent identification analysis on the preprocessed multi-modal phase image by using a deep learning feature extraction network, so that accurate identification and classification of cells are realized, and a leukocyte subpopulation identification model is constructed; and generating a cell imaging result and a cell mechanical parameter thermodynamic diagram. According to the invention, label-free identification of leukocyte subgroups is realized, and the problems of tedious operation and cell damage of traditional fluorescence labeling are solved.

The invention belongs to the technical field of biological image analysis and cell mechanics research, and particularly relates to a cell intracellular mechanical response visual analysis method based on image feature extraction, which comprises the following steps: acquiring original image data including a dynamic change process of cells under mechanical stimulation; performing structured segmentation on the original image data; extracting morphological features and dynamic behavior features of each data unit to obtain feature elements; classifying the feature elements according to a preset biological significance or mechanical response mode to form a plurality of feature element groups; and based on the classified feature element group, constructing a mapping relationship between the cell local region or the time slice and the mechanical response. According to the invention, the mechanical response of cells in a local area and a specific time window under mechanical stimulation can be analyzed, so that an analysis basis is provided for cell mechanical mechanism research, differentiation process regulation and control, drug effect evaluation and the like.

The invention relates to the technical field of biological materials, and discloses electrical stimulation LDH hydrogel as well as a preparation method and application thereof. The preparation method comprises the following steps: dissolving a zinc salt, a vanadium salt and urea in water in a nitrogen atmosphere to obtain a precursor solution; the precursor solution is subjected to a hydrothermal reaction, and ZnV-LDH is obtained; under stirring, gradually dropwise adding methacrylic anhydride into the gelatin solution, and heating for reaction; adding preheated water into the reaction liquid to stop the reaction; dialyzing and purifying the reaction liquid, pre-freezing, and freeze-drying to obtain hydrogel; and adding ZnV-LDH into the hydrogel, and carrying out ultrasonic mixing, so as to obtain the electrical stimulation LDH hydrogel. Through the synergistic effect of the ZnV-LDH and the hydrogel, the electrical stimulation LDH hydrogel disclosed by the invention has electrical activity and can generate potential change in response to external stimulation; under ultrasonic stimulation, concentration-dependent electrical response can be generated, the response has periodicity and stability, and osteogenic differentiation and cell mechanical properties can be promoted to the maximum extent.

This application is applicable to the field of cell analysis technology, and particularly relates to a method and device for cell mechanical phenotype analysis based on deep learning. The method includes: acquiring temporal images, mechanical response data, and culture environment parameters of target cells; based on the mechanical response data and culture environment parameters, performing regional segmentation on the temporal images to determine the mechanically sensitive regions on the surface of the target cells and the local deformation characteristics of subcellular structures, thereby achieving refined and targeted feature recognition; generating a mechanical phenotype descriptor of the target cells according to the mechanically sensitive regions, local deformation characteristics, and culture environment parameters to realize multi-modal data fusion; using a mechanical phenotype analysis model pre-trained with sample mechanical phenotype descriptors of sample cells to process the mechanical phenotype descriptor, and obtaining a heterogeneity prediction result of the target cells, automatically identifying the heterogeneity of cell mechanical properties under complex culture environments, and significantly improving the dynamics and generalization ability of heterogeneity classification.

A cellular mechanical property measurement and sorting method comprises: cells to be sorted being arranged in a straight line after passing through a standing wave acoustic field generated by a first interdigital transducer; the cells flowing through a focused acoustic field generated by a second interdigital transducer, and the focused acoustic field generating a radiation force on the cells, such that the cells are deformed; performing calculation according to information of the radiation force and deformation, so as to obtain elastic moduli of the cells; determining the positions of the cells, and selectively driving, with designed delay time, interdigital transducers in a cell sorting unit according to the moving speeds of the cells and the distances between the cells and the sorting unit, and triggering, according to the elastic moduli, a corresponding interdigital transducer to generate a planar acoustic field, so as to sort the cells.

The invention discloses an integrated chip for mechanical fatigue damage and mechanical characterization of red blood cells, and particularly relates to the crossing field of a micro-fluidic technology and cell mechanics. Comprising a substrate, and a PDMS functional layer is arranged on the substrate; the substrate and the PDMS functional layer are tightly bonded to form a composite micro-channel system with bionic flow field characteristics, the composite micro-channel system is composed of a fatigue loading structure, a fluid buffer structure and a bionic detection structure which are sequentially communicated, the fatigue loading structure is composed of straight micro-channels and arc-shaped flow channels which are alternately communicated, the fluid buffer structure adopts a taper gradually-shrinking design, and the bionic detection structure adopts a bionic detection structure. A plurality of orthogonally arranged micro-column arrays are arranged in the bionic detection structure and the fatigue loading structure. By adopting the technical scheme, the problems of mechanical environment distortion and insufficient observation resolution of a traditional method are solved, and a standardized platform is provided for mechanical property evaluation and clinical pathological diagnosis of red blood cells under health and fatigue damage.

The invention discloses a method and a device for monitoring dynamic response of cell nucleus to perceive extracellular mechanical stimulation. The device mainly comprises a single cell compression mechanical control system, a constant-temperature liquid-phase mechanical control experimental platform and a fluorescent microscopic imaging system. According to the invention, a single living cell can be compressed at the mechanical scale of nano-Newton (nN), the morphological change of the cell and the nuclear translocation dynamic process of YAP protein are monitored in real time, and the mechanism that the cell senses extracellular mechanical stimulation and responds to mechanical stimulation can be disclosed by representing the dynamic process of YAP nuclear translocation (the ratio of the fluorescence intensity of the YAP protein in the cell nucleus and the cytoplasm). The main method adopted by the invention comprises the following steps: firstly, artificially modifying a functionalized probe which can be used for realizing nano-cattle precision and is mechanically controlled by a single cell; a 3KPa PAA hydrogel substrate coated with type I Collagen is prepared, and a constant-temperature liquid-phase mechanical control experiment platform simulating human physiological conditions is constructed; a fluorescence microscopic imaging system is integrated below the experiment platform.

The present invention discloses a novel uniform strain chamber for an adherent cell loading device, which relates to the field of cell mechanics. Cells are planted in the novel uniform strain chamber of the adherent cell loading device, and the four positioning holes of the chamber are placed on a fixed pile. The fixed pile is connected to the stator. The controller controls the stepper motor, and the rotational motion of the motor is converted into linear motion through a transmission screw and transmitted to the mover, thereby indirectly strain stimulating the cells in the chamber cavity, thereby realizing relevant mechanical biology research on the cells. The strain of the adherent cell chamber in the existing cell tensile loading device is uneven, and the experimental results have large errors. In the invention, the elastic basement membrane of the chamber is designed to have one side as a plane, i.e., the part where the planted cells are poured into the cell culture medium, and the other side as a curved surface, i.e., an optimized surface. The longitudinal cross-section is an M-shaped structure, and its thickness variation meets the uniformity requirement of the strain of the plane part of the basement membrane during the chamber loading process, thereby increasing the uniform area of ​​the adherent cells in the strain loading, and therefore has high use value.

The invention relates to an intelligent cell mechanical property analysis method driven by a cell queue flow mechanism, which comprises the following steps of: acquiring experimental group flow data generated when a cell queue flows in a micro-fluidic channel to realize non-intrusive and high-throughput experimental observation and data capture of cell individuals and group flow dynamics; and an experiment reference is provided for analysis. A cell queue fluid-solid coupling model is established, numerical simulation is carried out, multiple groups of simulation group flow data are obtained by changing mechanical parameter values, complex flow behaviors of a cell queue under various potential mechanical characteristics are efficiently and controllably simulated in a virtual environment, and a simulation database with sufficient samples is established. Experimental data of a queue to be tested are matched with simulation data in a three-dimensional simulation database, so that the complex flow performance of a sample to be tested is quickly compared with the simulation database of massive known cell types and mechanical parameters, complex modeling and parameter inversion processes are bypassed, and the most similar known type is directly positioned.

The invention discloses a cell stretcher, and relates to the technical field of cell mechanics, the cell stretcher comprises a support module, a plurality of stretching structures and a plurality of transmission devices, the stretching structures and the transmission devices are arranged on the support module, the support module is provided with an experiment station, the experiment station is used for arranging a basement membrane, and the basement membrane is arranged on the experiment station. Each stretching structure is provided with two movable ends which are oppositely arranged, the movable ends are used for being connected to a base film on an experiment station, the two movable ends on each stretching structure can be driven by a transmission device to be far away from or close to each other in one stretching direction, and the stretching directions corresponding to the stretching structures do not coincide with each other; the moving speed and the moving distance of each movable end can be adjusted. The cell stretcher not only can stretch cells in multiple directions, but also can adjust the stretching amplitude and frequency, and is wider in application range.

The invention relates to the technical field of microfluidics, in particular to a microfluidics system, a method for conveying a target object and an elastic modulus detection system and method.The microfluidics system comprises a device and an air extractor, the device is provided with at least one micro-channel, and the air extractor is used for extracting air from the device, so that the air pressure in the micro-channel is smaller than the ambient air pressure. The high solubility of the device provided with at least one micro-channel to gas is utilized, and energy required for pumping liquid is pre-stored in the degassed device by utilizing the air extractor, so that the device can realize self-driven transportation of the cell suspension and enable the cell suspension to deform through the slit channel under the condition that external source pump equipment does not need to be built. The self-transportation process of the cell suspension is realized by utilizing deformation pre-stored energy generated by a device under vacuum and generating pressure difference when the vacuum is released, so that the traditional fluid driving equipment is saved, the operation process is simplified, the system cost is reduced, and a feasible path is provided for high-throughput and low-threshold detection of cell mechanical properties.

The present application provides a lung cancer type prediction method and system based on a fusion deep learning network. It dynamically segments CT images of lung cancer patients, extracts tumor vascular distribution data and calculates three-dimensional density parameters and vascular rupture direction parameters, and simultaneously obtains a necrotic area volume ratio sequence; separates circulating tumor cells through spiral sorting of blood samples and fluid control, and generates stiffness change parameters and deformation recovery parameters derived from deformation trajectories; combines three-dimensional density, vascular rupture direction and stiffness parameters to extract the vascular rupture direction time series offset, and dynamically and synchronously matches the stiffness change response to generate a synchronization set; constructs a lag correlation between the vascular rupture direction offset and the deformation recovery period, and determines the weight matching through cross-modal analysis; combines the spatiotemporal characteristics of the necrotic area volume to output the lung cancer subtype classification results. The present application integrates a cross-modal correlation model of vascular dynamic offset and cell mechanical response to achieve accurate discrimination of lung cancer subtypes.

This invention discloses a vascular organ-on-a-chip that simulates human blood pressure, comprising a substrate, a channel layer, a cell dynamic culture module, a solution mixing module, and a cell mechanical property measurement module. The cell dynamic culture module includes a first culture channel and a second culture channel, with a serpentine channel connecting the upstream of the first culture channel and the upstream of the second culture channel. The solution mixing module includes two oppositely arranged solution mixing channels, which are respectively connected to the first culture channel and the second culture channel. The cell mechanical property measurement module includes multiple measurement channels arranged side-by-side, with one end of each measurement channel connected to the other end of one solution mixing channel and the other end connected to the other end of another solution mixing channel. This invention simulates the human blood pressure environment within the vascular organ-on-a-chip, enabling simultaneous cell culture under parallel gradient pressure within the chip, and combining the vascular organ-on-a-chip with cell mechanical property measurement.

This specification provides a control method and apparatus for a cell mechanical property measurement and sorting system. Based on this method, the control module first controls a camera to acquire target images of the target cells in a matching manner according to the operating parameters of the first interdigital transducer, obtaining relatively good target images. Then, the control module performs a basic first processing on the target images, with relatively small data processing volume, to quickly obtain the first processing result. Based on the first processing result, the second interdigital transducer is controlled to perform corresponding cell sorting processing. Simultaneously, the target images are sent to a computer device via a PCIe interface, utilizing the computer device's data processing resources to perform a more refined second processing on the target images, with a relatively larger data processing volume, obtaining the second processing result. This effectively reduces system latency and efficiently and accurately controls the corresponding modules in the system to cooperate in completing the cell sorting process.

The invention provides a lung cancer type prediction method and system based on a fusion deep learning network, and the method comprises the steps: carrying out the dynamic segmentation of a CT image of a lung cancer patient, extracting tumor blood vessel distribution data, calculating a three-dimensional density parameter and a blood vessel fracture direction parameter, and synchronously obtaining a necrotic region volume ratio sequence; circulating tumor cells are separated through blood sample spiral sorting and fluid control, and rigidity change parameters and deformation recovery parameters derived from a deformation track are generated; combining the three-dimensional density, the blood vessel fracture direction and the rigidity parameters, extracting the time sequence offset of the blood vessel fracture direction, and dynamically and synchronously matching the rigidity change response to generate a synchronous set; establishing lag correlation between the blood vessel fracture direction offset and the deformation recovery period, and determining weight matching through cross-modal analysis; and outputting a lung cancer subtype classification result in combination with the necrotic region volume spatial-temporal characteristics. According to the application, the cross-modal correlation model of the blood vessel dynamic migration and the cell mechanical response is fused, and accurate discrimination of the lung cancer subtype is realized.

The invention provides construction and application of an intermolecular structural domain tension probe, the probe comprises a first structure, a second structure and a fluorescent protein pair eCFP and eYFP, the first structure and the second structure are respectively connected to two ends of the fluorescent protein pair, and the eCFP and the eYFP are connected through a short peptide; the first structure is a structural domain or protein capable of being combined with a cytoskeleton connecting protein, and the second structure is a structural domain or protein capable of being combined with a cytoskeleton; the cytoskeleton connecting protein is selected from talin, SYNE4, SYNE3, SYNE2, Desmoplakin and the like; the cytoskeleton is a microfilament, a microtubule or an intermediate filament. The intermolecular structural domain tension probe can be used for detecting intracellular mechanical signals, the limitation of a traditional tension probe is overcome, the adverse effect of function enhancement caused by gene cloning is avoided, a new opinion is provided for a mechanical transduction molecular mechanism, and the application has the advantages that the application range is wide, and the application prospect is wide. And a more accurate experimental tool is provided for the research of cell mechanics biology, and the effect of a mechanical signal in cell behavior regulation and control is disclosed.

The invention discloses a cell mechanical response behavior characterization and metabolism information extraction method. The method comprises the following steps: 1, constructing a device integrated with an ultrasonic mechanical stimulation device and electrochemical detection; step 2, adding a cell culture solution containing cells into the device in the step 1, then applying voltage by a signal generator in the device, and then observing the arrangement condition of the cells on the electrode by using a microscope; and 3, changing the quantity of the cells in the cell culture fluid, and then observing the arrangement condition of the cells on the electrode by using the microscope again. According to the characterization and metabolism information extraction method of the cell mechanical response behavior, an ultrasonic mechanical stimulation device and an electrochemical detection technology are integrated, and real-time in-situ monitoring on the change of an electrical signal of the cell is realized while the cell is subjected to mechanical stimulation.

The invention discloses a working method of an in-vitro simulation system for reproducing a mechanical microenvironment at an internal arteriovenous fistula, and belongs to the technical field of cell mechanical biology experimental devices for health and rehabilitation engineering. A real wall shear stress waveform is obtained based on clinical blood vessel data of an arteriovenous fistula stenosis patient in combination with computational fluid mechanics simulation, quantitative calculation of shear stress is achieved by means of a fluid mechanics simplified formula of a parallel plate flow cavity, and accurate loading of pulsation, oscillation and other forms of shear stress is adapted by means of quasi-steady hypothesis. The wall shear stress microenvironment of the arteriovenous fistula anastomosis position in different physiological and pathological states can be reproduced in the flowing cavity, and meanwhile, the mechanical and biological response indexes of endothelial cells can be quantitatively monitored in real time. According to the method, the real mechanical microenvironment of the vascular endothelial cells at the arteriovenous fistula is highly restored, and a miniaturized, standardized and quantitative experimental platform is provided for researching the quantitative relation between the wall shear stress signal of the area and the mechanical biological effect of the vascular endothelial cells.

The invention discloses a system and a method for controlling an'optical handle 'to perform cell excitation regulation based on a scanning Gaussian beam, and belongs to the technical field of optics. The system comprises a lighting source, an objective table, an inverted fluorescence microscope, a dichroscope group, a galvanometer, a spatial light modulator, a 1064nm laser, a fluorescence LED light source and a CMOS camera. The method comprises the following steps: preparing a 3-micron polystyrene microsphere as an optical handle, and culturing K562 cells; a scanning Gaussian beam is controlled by a galvanometer to drive an optical handle to rotate; the method comprises the following steps: optically assembling a target cell and a rotating optical handle in a three-dimensional space, and driving the cell to rotate to apply mechanical stimulation; and the cell calcium ion signal change is monitored in real time by utilizing fluorescence imaging. According to the invention, continuous, stable and controllable rotary stimulation on cells is realized, high-throughput parallel control, high three-dimensional space resolution and real-time dynamic monitoring capability are realized, and a brand new tool is provided for cell mechanics research.

The invention discloses a mechanical phenotype analysis chip for screening bacterial infected circulating tumor cells, and belongs to application of a micro-fluidic chip technology in the field of biomedical in-vitro diagnosis. The system comprises a micro-fluidic chip and a detection solution. The micro-fluidic chip comprises a sample introduction end, a shunting flow channel, a main flow channel and a sample discharge end, wherein single-cell mechanical property analysis function unit arrays are uniformly distributed on the two sides of the main flow channel in a staggered manner; and the single cell mechanical property analysis functional unit comprises a hook-shaped structure for single cell anchoring and a deformation channel structure for single cell mechanical property analysis. The detection solution comprises a fluorescent probe capable of specifically recognizing bacteria in cells. According to the micro-fluidic chip disclosed by the invention, single cell capture, mechanical property analysis and intracellular bacteria detection can be integrated on the same chip, and a time-saving, low-cost and high-throughput single cell detection platform can be constructed, so that visual detection of single cell mechanical phenotypes and intracellular bacteria is realized; the method can be used for evaluating the metastasis potential of the circulating tumor cells in the bacterial infection breast cancer.

Cytoskeletal Network Based Computer Device for Predicting Tissue Cell Mechanics

The application discloses a micro-fluidic device and a method for analyzing cell mechanical properties by using the micro-fluidic device. The micro-fluidic device comprises a plurality of micro-channels, each of which is provided with a normal region through which simulated cells to be measured can easily pass and a narrow region through which the simulated cells to be measured are not easy to pass, and the size of the micro-channels meets the size range of micro-arteries. The application has the advantages of simple structure of a measuring and analyzing device and easy execution of a measuring and analyzing method.

The present application belongs to the technical field of biological image analysis and cell mechanics research, and particularly relates to a cell intracellular mechanics response visual analysis method based on image feature extraction, comprising the following steps: acquiring original image data containing dynamic change process of cells under mechanical stimulation; structurally segmenting the original image data; extracting morphological features and dynamic behavior features for each data unit respectively to obtain feature elements; classifying the feature elements according to preset biological significance or mechanical response mode to form several feature element groups; and constructing a mapping relationship between local regions or time segments of cells and mechanical responses based on the classified feature element groups. The present application can analyze the mechanical response of local regions and specific time windows of cells under mechanical stimulation, thereby providing analysis basis for cell mechanics mechanism research, differentiation process regulation, drug effect evaluation and the like.

The present invention relates to a method for measuring cellular mechanics in an in vitro fibrosis model, comprising: (a) providing a plurality of microscope devices, and combining same in a coaxial mode to form a microscope coaxial system for imaging; (b) placing on an object stage a sample to be measured, and scanning said sample by means of the microscope coaxial system; (c) capturing a first image and a second image of said sample by using the microscope coaxial system, generating the first image and the second image into a third image, and delineating a cell boundary by means of the third image; (d) defining a plurality of regions of interest in the third image; (e) determining the mechanical properties of said sample, comprising calculating a first elastic modulus of a cell and a second elastic modulus of a protein in the regions of interest; and (f) on the basis of the third image, comparing the first elastic modulus with the second elastic modulus to obtain the cell state of said sample.

The invention relates to the technical field of cell detection, and discloses a single cell mechanical property parallel detection method and device and computer equipment, and the method comprises the following steps: providing an electric signal for an electrode on an electric deformation chip; acquiring deformation information of cells to be detected in a micro-channel on the electric deformation chip; acquiring and recording an electrical impedance signal when the to-be-detected cell deforms; performing normalization processing on the electrical impedance signal; and enabling the deformation information to correspond to the normalized electrical impedance signal. According to the invention, the mechanical properties of cells are tested based on dielectrophoresis and electrical impedance. An electrical impedance technology is introduced, a deformation signal is converted into an electric signal to be output, the real-time and high-throughput characterization and real-time feedback of the cell mechanical property are realized, and the data extraction and processing process is also simplified by adopting the electric signal to characterize the deformation.