Cell biomechanics and migration path detection method based on 1S1R neuromorphic sensitive array

Abstract

The invention provides a cell biomechanics and migration path detection method based on a 1S1R neuromorphic sensitive array, which comprises three parts of living cells, an extracellular matrix and a neuromorphic sensitive array, and a cell matrix and a unit neuromorphic sensitive device in a unit area form a 1S1R unit. Local current is changed through the mechanical action of the cells and the extracellular matrix, and the sensing of mechanical stress between the cells and the extracellular matrix in a unit area is realized by utilizing the specific memory effect of the neuromorphic sensitive device. Finally, cell stress changes of a plurality of areas are achieved through the neuromorphic sensitive array, and detection of cell migration paths and cell biomechanical behaviors induced by multi-modal signals and environments are achieved. By preparing the 1S1R-based neuromorphic sensitive array, a small-size and high-efficiency cell migration and biomechanical research scheme can be realized, so that a neuromorphic sensitive device shows huge application potential in perception and research of biological microscopic phenomena such as cell migration.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of micro cell microscopy technology and the field of neuromorphic sensing devices, and in particular to a cell migration path detection method based on a 1S1R neuromorphic sensing array. BACKGROUND

[0002] Life science research has found that cell migration, as a core process in cell biomechanics, is closely related to the growth and development of organisms, tissue repair and regeneration, and to some extent, affects pathological processes such as disease transmission and tumor metastasis. Cells adjust their own morphology by sensing external environmental signals such as chemical gradients, physical stimuli or cell-cell contact, and achieve directional movement. This process not only involves dynamic changes in cell membranes, but also relies on precise signal transduction and coordination mechanisms between cells.

[0003] In order to better understand the biomechanical mechanisms of cell migration, researchers have developed advanced microscopy techniques and cell biomechanics modeling methods to reveal the morphological changes, mechanical properties and molecular regulation mechanisms of cells during migration. For example, researchers have designed super-resolution microscopy based on microsphere lenses to break through the optical diffraction limit and achieve nanoscale observation of cell structures. At the same time, many studies have used large-scale microscopy techniques such as atomic force microscopy and traction force microscopy to record cell communication and migration behavior, and then used machine learning and artificial intelligence image analysis algorithms to extract key information from massive image data, helping to build more accurate cell biomechanics models. The progress of these technologies not only promotes basic research on cell migration mechanisms, but also provides new tools and methods for applications in disease treatment, tissue engineering, drug screening and other fields. At the same time, with the gradual improvement of research efficiency, micro microscopy technology has gradually become a popular research object in the field of cell microscopy technology due to its flexible spatial applicability. As a key component of sensing and computing integrated technology, neuromorphic sensing devices can perceive external signals while storing and computing in real time, efficiently completing sensing and computing tasks. Neuromorphic sensing devices not only have high electrical response speed, but also have excellent chemical sensitivity due to the migration behavior of sensitive conductive filaments. The preparation of neuromorphic sensing arrays through micro-nano processing technology not only realizes small device structures, but also maintains excellent performance. This small size and high efficiency make neuromorphic sensing devices have great application potential and value in the perception and research of biological microphenomena such as cell migration. SUMMARY

[0004] One of the purposes of the present application is to provide a miniaturized cell detection method based on neuromorphic sensing technology to record the motion state and migration behavior of cells and realize migration path detection.

[0005] The second object of the present application is to establish a neuromorphic sensing platform to explore the multi-modal signal and environment-induced cell biomechanics behavior.

[0006] To achieve the above object, the present application provides a cell biomechanics and migration path detection method based on a neuromorphic array of 1S1R sensitive units, comprising the following steps:

[0007] Step S1, based on the mechanism of mechanical interaction between cells and extracellular matrix, a cell and extracellular matrix co-action cell migration path perception model is established, which is composed of a neuromorphic sensitive array based on 1S1R units, wherein 1S is a mechanical stress sensing model composed of cells and extracellular matrix in a unit area, and 1R is an independent neuromorphic sensitive device.

[0008] Step S2, according to the established research model, when the mechanical interaction between the cells and the extracellular matrix in the unit area occurs, the stress generated will cause compression of the two, thereby causing a change in the local area fraction, and realizing the change of the local current.

[0009] Step S3, the change of the local current will affect the carrier migration at the contact surface between the unit area extracellular matrix and the neuromorphic sensitive device, and under the action of the electric field, the sensitive carriers at the interface will migrate to the inside of the neuromorphic sensitive device, and the strength of the plasticity current will be regulated. And using the unique memory effect of the neuromorphic sensitive device, that is, the slow decay characteristic of the current. Realize the perception and memory of the mechanical stress between the unit area cells and the extracellular matrix.

[0010] Step S4, when the cell migrates, mechanical stress changes will be continuously generated from the initial migration point to the end point, and this multi-region change can be perceived and remembered by multiple neuromorphic devices, i.e. a neuromorphic sensitive array. At the same time, by using the slow decay characteristic of the current of the neuromorphic sensitive device, the current cell migration state can be perceived and remembered, so as to complete the detection of the cell migration path.

[0011] Step S5, using the constructed neuromorphic sensitive array based on 1S1R units as an experimental platform, by changing the environment inside and outside the extracellular matrix, i.e. changing the light intensity, electric field intensity, pressure size, extracellular matrix stiffness, magnetic field intensity and drug type, or changing the cell type, the multi-modal signal and environment-induced cell biomechanics behavior is explored, and a neuromorphic sensing platform is established. BRIEF DESCRIPTION OF DRAWINGS

[0012] Figure 1 It is the structure schematic diagram of the neuromorphic sensitive array based on 1S1R units constructed in Example 1 of the present application. DETAILED DESCRIPTION

[0013] Example 1

[0014] like Figure 1 As shown, the 1S1R-based neuromorphic sensitive array of the present invention includes live cells 1, extracellular matrix 2, and a neuromorphic sensitive array 3. The cell matrix 4 and the unit neuromorphic sensitive device 5 constitute a 1S1R unit, which records the biomechanical properties and migration paths of the cells through an output current 6. The specific experimental method includes the following steps:

[0015] Step S1: When a cell in a unit area interacts mechanically with the extracellular matrix, the resulting stress causes the two cells to compress, thereby causing a change in the local area fraction and thus altering the local current.

[0016] Step S2: The change in the local current will affect the carrier migration at the interface between the extracellular matrix and the neuromorphic sensor in a unit area. Under the influence of the electric field, sensitive carriers at the interface migrate into the neuromorphic sensor, regulating the strength of the plastic current. Furthermore, utilizing the unique memory effect of the neuromorphic sensor—the slow decay of the current—the mechanical stress between the cell and the extracellular matrix in a unit area can be sensed and remembered.

[0017] Step S3: During cell migration, continuous changes in mechanical stress occur from the initial migration point to the migration endpoint. These multi-regional changes can be sensed and memorized by multiple neuromorphic devices, i.e., neuromorphic sensitive arrays. Simultaneously, the slow attenuation characteristic of the neuromorphic sensitive devices is utilized to sense and memorize the current cell migration state, thereby completing the detection of the cell migration path.

[0018] Example 2.

[0019] In this invention, the neuromorphic sensing platform is based on a 1S1R unit neuromorphic sensitive array. By changing the environment inside and outside the extracellular matrix, such as light intensity, electric field intensity, pressure, extracellular matrix stiffness, magnetic field intensity, and drug type, or by changing the cell type, it explores the biomechanical behavior of cells induced by multimodal signals and the environment.

Claims

1. A method for detecting cell biomechanics and migration paths based on a 1S1R neuromorphic sensitive array, characterized in that, It consists of three parts: living cells, extracellular matrix, and neuromorphic sensitive array. A unit of 1S1R comprises a unit of cellular matrix and a unit of neuromorphic sensitive device. The implementation method includes the following steps: a. When a cell in a unit area interacts mechanically with the extracellular matrix, the resulting stress causes the two cells to compress, leading to a change in the local area fraction and thus a change in the local current. b. The changes in the local current will affect the carrier migration at the interface between the extracellular matrix and the neuromorphic sensitive device in a unit area. Under the action of the electric field, the sensitive carriers at the interface migrate into the neuromorphic sensitive device, thereby regulating the strength of the plastic current. By utilizing the unique memory effect of the neuromorphic sensitive device, namely the slow decay of the current, the sensory and memory of the mechanical stress between the cell and the extracellular matrix in a unit area can be realized. c. During cell migration, continuous changes in mechanical stress occur from the initial migration point to the migration endpoint. These multi-regional changes can be sensed and memorized by multiple neuromorphic devices, namely neuromorphic sensitive arrays. Simultaneously, by utilizing the slow attenuation characteristics of the current flow of the neuromorphic sensitive devices, the current cell migration state can be sensed and memorized, thereby completing the detection of the cell migration path. In summary, the change in the contact area fraction between the cell and the fiber molecules in the hydrogel affects the local capacitance, which further generates a response current under the action of an electric field, thereby regulating the output current of the neuromorphic sensitive module to detect the cell's biomechanical behavior. Finally, the biomechanical behavior is modeled by analyzing the output current. d. By altering the environment inside and outside the extracellular matrix, i.e., changing light intensity, electric field strength, pressure magnitude, extracellular mechanism stiffness, magnetic field strength, and drug type, or changing cell type, we can explore the biomechanical behavior of cells induced by multimodal signals and the environment.

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