14 results about "Cell movement" patented technology

According to the microscopic cell image tracking method and device based on the graph neural network, the electronic equipment and the storage medium provided by the invention, a training set cell image is acquired and a training label is marked, a cell segmentation model is trained according to the training set cell image, and other data sets are predicted according to the cell segmentation model; according to the tracking method provided by the invention, the dependence on manual design can be reduced, the feature expression ability can be improved, the relationship between the cells can be modeled through the graph structure, the tracking precision under the condition of dense and shielded cells can be improved, and the tracking accuracy can be improved. Meanwhile, in combination with time sequence data, the time continuity of cell movement is captured, and the tracking stability is improved.

The invention discloses an experimental device and method for measuring the swimming characteristics of algae cells in shear flow. The experimental device comprises an air pressure source, a pressure pump, a liquid storage bottle, a flow meter, a micro-channel and a waste liquid bottle which are connected in sequence, the method comprises the following steps: determining average flow according to experimental working conditions to produce stable shear flow, shooting an algae cell movement track image sequence, obtaining the distribution of the migration velocity V of algae cells through the observed algae cell movement track, calculating the distribution of the flow velocity Vflow of the algae cells in combination with an analytical method, and calculating the flow velocity Vflow of the algae cells according to the distribution of the flow velocity Vflow of the algae cells. And calculating to obtain the algae cell swimming characteristics in the shear flow, wherein the algae cell swimming characteristics comprise the self swimming speed Vs and the angular speed omega. According to the device and the method, high-precision measurement of the movement behavior of the algae cells in the shear flow is realized, an experimental method and an analytical method are combined, the defect that swimming characteristics such as swimming speed and angular speed of the algae cells cannot be obtained in previous researches is overcome, and technical support is provided for development of micromechanics in a more detailed micro-scale.

The application discloses an animal cell adaptive tracking method and system based on deep learning, and belongs to the technical field of cell image analysis; a YOLOv10 deep learning model is combined with a Btrack adaptive tracking algorithm, animal cell samples are first dyed and microimage collection is carried out, a cell detection model is trained after image preprocessing, data labeling and augmentation, the model is converted into an ONNX format to realize efficient inference; then, Kalman filtering prediction and three-round Hungarian algorithm matching are carried out to complete cell adaptive tracking, the problems of cell occlusion, division, overlap and loss of tracking can be effectively handled, and stable and continuous cell motion trajectories are generated; the application can be deployed without GPU, has strong generalization ability, high detection and tracking precision, is suitable for scenes such as microecological research, clinical sample testing, drug effect evaluation and cell behavior analysis, and can significantly improve the automation level and stability of animal cell detection, counting and dynamic tracking.

The invention is suitable for the technical field of cell detection, and provides a cell viability detection method and device, terminal equipment and a storage medium, the method comprises the following steps: obtaining a plurality of initial characteristic signals of sample cells collected at different times, then carrying out autocorrelation calculation on the plurality of initial characteristic signals to obtain a plurality of autocorrelation coefficients (experiment g1, exp (tau)); and then obtaining a fitting curve similar to experiment g1, exp (tau) according to a theory, thereby analyzing to obtain a diffusion coefficient D of the sample cells, and further evaluating the activity of the sample cells according to the diffusion coefficient of the sample cells. According to the method, autocorrelation calculation is carried out on the characteristic signals of the sample cells, the autocorrelation of the signals at different time points can be measured, the dynamic change rule of the movement characteristics of the cells is revealed by analyzing the change of the autocorrelation coefficient and the diffusion coefficient along with time, and a key quantitative index is provided for accurately detecting the activity of the cells.

The application discloses a monitoring method and system for three-dimensional phenotype parameters of stoma cells of living plants, and comprises the following steps: S1, a plant confocal three-dimensional microscopic imaging and photosynthetic parameter measuring device is used, a self-made photosynthetic leaf chamber is used to realize cooperative monitoring of a down-positioned confocal microscope and a portable photosynthetic instrument, morphological changes of the same stoma under different environments are monitored, and three-dimensional Z-stack images and physiological parameters of a stoma complex of the living plants are synchronously obtained; and S2, a fluorescence image is automatically segmented and three-dimensional surface reconstruction is performed by using a granularity-based active contour model, so that three-dimensional phenotype parameters and pore characteristics of the stoma complex are obtained.

The application discloses a multi-agent based spaceomics tissue dynamics reconstruction and simulation perturbation method, and belongs to the technical field of computational biology and bioinformatics. The method models each cell as an agent, constructs continuous dynamic trajectories from the starting slice to the ending slice through unbalanced optimal transport and neural ordinary differential equations, uses a multi-agent reinforcement learning framework to make each agent decide the fate of proliferation, apoptosis, differentiation or migration according to the local microenvironment state, and combines a reward function to optimize the generation of missing intermediate tissue states; then, the cosine similarity is used to quantify the alignment degree of ligand-receptor communication signals and cell movement to identify key regulatory pairs, support computer simulation perturbation experiments on genes, communication pathways or cell populations. The application can reconstruct three-dimensional / four-dimensional tissue dynamics with high fidelity from sparse slices, analyze microenvironment regulation mechanisms and predict perturbation effects, and is suitable for spaceomics data analysis in the fields of developmental biology, oncology and the like.

A method of modeling cell movement to predict a cellular process, including: providing a cell set including a plurality of cells, in which each cell within the cell set includes an assigned value and an assigned governing behavior; executing a self-sorting process of the plurality of cells within the cell set based on the assigned value and the assigned governing behavior of each of the plurality of cells, in which during the sorting process the cell set includes a plurality of intermediate arrangements of the plurality of cells within the cell set; determining an evolution of the intermediate arrangements of the plurality of cells during the sorting process; and analyzing the evolution of the intermediate arrangements and a final arrangement of the plurality of cells.

A method of modeling cell movement to predict a cellular process, including: providing a cell set including a plurality of cells, in which each cell within the cell set includes an assigned value and an assigned governing behavior; executing a self-sorting process of the plurality of cells within the cell set based on the assigned value and the assigned governing behavior of each of the plurality of cells, in which during the sorting process the cell set includes a plurality of intermediate arrangements of the plurality of cells within the cell set; determining an evolution of the intermediate arrangements of the plurality of cells during the sorting process; and analyzing the evolution of the intermediate arrangements and a final arrangement of the plurality of cells.

The invention discloses a biological resonance enabling sheet, which comprises a biological resonance chip, a functional layer and a packaging sleeve, and is characterized in that the functional layer is arranged on the biological resonance chip; the packaging sleeve is arranged on the outermost side in a sleeving mode, the functional layer is formed by mixing silica gel and stone needle powder, and air holes are formed in the side face, facing the functional layer, of the packaging sleeve. According to the biological resonance energizing sheet, the resonance effect of the biological resonance chip is combined with the effect of the stone needle powder, so that the resonance effect is enhanced, and cell movement is promoted.

The present invention discloses an experimental device and method for measuring the swimming characteristics of algae cells in shear flow. The experimental device includes an air pressure source, a pressure pump, a liquid storage bottle, a flow meter, a microchannel, and a waste liquid bottle connected in sequence. The method includes determining an average flow rate according to experimental working conditions to produce a stable shear flow, photographing an image sequence of the algae cell movement trajectory, obtaining the distribution of the algae cell migration velocity V through the observed algae cell movement trajectory, and calculating the algae cell flow velocity V using an analytical method. flow The distribution of the algae cells in the shear flow is then calculated to obtain the swimming characteristics, including their own swimming speed V s The present invention achieves high-precision measurement of algal cell motion in shear flow. By combining experimental and analytical methods, it addresses the inability of previous studies to obtain the algal cell's own swimming characteristics, such as swimming speed and angular velocity, and provides technical support for the development of microbial hydraulics at a more detailed microscopic scale.

The disclosed technology creates a set of technologies that formulaically and / or positionally link cell(s) to spreadsheet functions or capabilities that flex the number of cells they instantiate. Thereby automatically altering the cell formula and / or the cell position reflecting those linked / connected flex range changes. Automatically ensuring no overlap of linked / connected cells and automatically adjusting linked / connected formulas for the referenced flex changes.

This invention relates to the field of cell culture equipment technology, specifically a docking mechanism for honeycomb cell culture and its usage method. The docking mechanism includes an upper plate, a lower plate, and a dragging device. Several docking modules are provided between the upper and lower plates. The lower plate is fixedly installed, and the upper and lower plates can be detached or slidably docked. The dragging device includes a power component, a telescopic component, and a toggle component. The power component and telescopic component are installed on the lower plate, and the toggle component is installed on the upper plate. The extended end of the telescopic component can engage to drag or detach the toggle component. The usage process of this docking mechanism mainly involves the upper plate entering the lower plate and sliding docking via the dragging device, the dragging device resetting, the dragging device detaching the upper and lower plates, and the upper plate moving out of the lower plate. This docking mechanism can smoothly drag the culture tank into or out of the honeycomb frame, avoiding uneven cell placement caused by cell movement within the culture tank.

The present invention relates to extracting the rotation speed of cells in an ODEP field based on an area change algorithm. The method comprises: binarizing an RGB image acquired by a CCD camera to extract cell morphological features; identifying and selecting cells by calculating connected domains in the binary image; calculating the area of ​​the selected cells using morphological methods; calculating the area of ​​all frames of the selected cells to obtain a cell area change curve; smoothing the change curve using convolution calculations to remove noise from the curve; and obtaining the cell rotation speed using the periodic changes shown on the processed cell change curve according to rotation theory using the values ​​of every two adjacent peaks and valleys. The method can accurately and automatically obtain the rotation speed of a cell of interest from a video containing various motions and cells; extract the complete morphology of the cell; and quickly obtain the motion trajectory of the cell of interest, thereby performing a comprehensive analysis of the cell. The method has applications in biomedicine, bioengineering, and other related fields.

The invention discloses a cell manipulation observation device and a cell manipulation observation method.According to the cell manipulation observation device, an initial light beam is emitted through a light source assembly, beam splitting is conducted through a light beam distribution assembly to form a first light beam and a second light beam, and at the moment, the light intensity of the first light beam and the light intensity of the second light beam are distributed through the light beam distribution assembly; the upper polar plate or the lower polar plate is used for irradiating the micro-fluidic chip; the first light beam and / or the second light beam irradiates the photoconductive layer to generate dielectrophoretic force, so that effective control on cells can be realized; the first light beam and the second light beam can both irradiate the photoconductive layer, so that the cell manipulation observation device has higher compatibility to micro-fluidic chips of different models; according to different use environments and use requirements, an operator can select the first light beam and / or the second light beam to irradiate the micro-fluidic chip, and the operator can carry out adaptive adjustment according to materials or structures of photoconductive layers on different micro-fluidic chips, so that the effect of generating dielectrophoretic force to drive cells to move is improved.