72 results about "Marrow cell" patented technology

A minimally invasive apparatus and method for harvesting bone marrow cells, blood, and bone fragments includes a rigid cannula having a proximal end and a distal end with an opening. The distal end includes a cutting tip that is movable axially and radially to cut and disrupt bone tissue while preserving necessary viability among harvested marrow cells. The cannula further includes an inner surface defining an internal passage that extends from the opening toward the proximal end. Suction is applied to the passage to draw disrupted bone marrow cells, blood, and bone fragments into the internal passage for collection. The apparatus may include a rotatable shaft disposed co-axially within the internal passage. The shaft has a distal end with a cutting bit for further cutting and disrupting of bone tissue, and a lumen for supplying bone cement to the cutting bit to promote bone growth and healing within the bone.

A microfracture awl includes an articulating portion that enables the microfracture awl to strike a subchondral bone plate at a precise desired angle to prevent scuffing or undue scraping of the targeted subchondral bone plate. The articulating portion of the microfracture awl is received through a guide sleeve. A proximal end of the articulating portion is rigid and connects to a base. The articulating portion is placed through a guide sleeve and the base resides in a handle attached to the sleeve. The guide sleeve has a curved distal end. The practitioner strikes the rigid base of the microfracture awl and thereby transmits a force to the articulating portion of the awl however, the force is not transmitted to the guide sleeve or handle. Accordingly, the articulating portion of the awl may smoothly travel through the guide sleeve at the angle defined by the curved distal end of the guide sleeve, thereby angularly positioning the tip of the awl with the targeted bone plate. The articulating portion includes a plurality of articulating members configured in a series of ball and socket configurations. A method includes selection of a guide sleeve with the desired curvature and impacting the awl a number of times at the targeted area to produce a desired effect with respect to the release of bone marrow cells to induce growth of fibrocartilage tissue.

The invention discloses a sea cucumber polypeptide, wherein a preparation method thereof comprises the following steps: (1) getting fresh stichopus japonicus, removing entrails, cleaning and crushing the stichopus japonicus into small blocks, and adding water to form homogenate; after the enzymolysis of the homogenate liquid, centrifugating and getting the supernatant; adding ethanol, standing, centrifugating and getting the supernatant, concentrating the supernatant at reducing pressure and drying the concentrate to form a crude product of the sea cucumber polypeptide; (2) dissolving the crude product of the sea cucumber polypeptide by using distilled water, carrying out gel filtration chromatography by Sephadex LH-20, eluting the sea cucumber polypeptide by double-distilled water, getting a second peak, collecting active components, and condensing, freezing and freeze-drying the active components; and (3) dissolving the active components by double-distilled water, carrying out ion exchange chromatography by Q Sepharose Fast Flow, linearly eluting the active components by NaCl solution, desalting, getting the second peak, collecting the active components, and condensing, freeze-drying the active components to form the sea cucumber polypeptide. The sea cucumber polypeptide can be used for preparing medicaments or health-care products for increasing leukocytes and also can be used for preparing medicaments or health-care products for multiplying marrow cells after chemotherapy.

Intravenous administration of bone marrow cells collected from rat bone marrow or peripheral blood to a rat cerebral infarction model was found to be effective in treating cerebral infarction. Human and murine bone marrow stem cells showed similar effects. Mesenchymal cells such as bone marrow cells, cord blood cells, or peripheral blood cells can be used as agents for in vivo administration against cranial nerve diseases.

The invention specifically relates to a method for extracting immune cells from marrow, belonging to the technical field of cytobiology. The method comprises the following steps: (1) acquiring human marrow, diluting the human marrow with an alpha-MEM nutrient solution containing fetal calf serum, then carrying out centrifugation and discarding supernatant and a fat layer so as to obtain marrow cells; (2) transferring human peripheral blood into a centrifuge tube, carrying out centrifugation, sucking up blood plasma at an upper layer for subsequent usage and cells at a lower layer for separation of peripheral blood lymphocytes, and adding an alpha-MEM nutrient solution containing the blood plasma at the upper layer into the marrow cells to prepare a cell suspension; (3) adding a separating medium into another centrifuge tube, flatly spreading the cell suspension onto the separating medium, carrying out centrifugation, and sucking up albuginea-layer cells so as to obtain immune cells; and (4) adding isopyknic immune cells into an immune cell cryopreservation solution, carrying out uniform mixing and carrying out immune cell cryopreservation. The method provided by the invention can effectively improve the separation rate of the immune cells and the survival rate of the immune cells after cell cryopreservation and enhances the security of cells transfused back to a patient.

Surfaces useful for cell culture comprise a support to which is bound a CAR material, and, bound to the CAR material, collagen VI or a biologically active fragment or variant thereof and, optionally, one or more other ECM proteins (or fragments or variants thereof) such as elastin, fibronectin, vitronectin, tenascin, laminin, entactin, aggrecan, decorin, collagen I, collagen III, and collagen IV. Also, optionally present on the surface is one or more polycationic polymers, such as poly-D-lysine or poly-D-ornithine. This surface is used in cell culture to promote cell attachment, survival, and / or proliferation of a number of different cell types such as (a) liver cells (e.g., HepG2 tumor cells, and a newly discovered line of rat liver epithelial stem cells) (b) osteoblasts, such as the murine cell line MC3T3 cell line and (c) primary bone marrow cells. Kits comprising the surfaces and additional reagents are also disclosed.

An artificial bone material having a satisfactory compatibility with a human body and capable of effecting osteogenesis satisfactorily which is obtained by integrating a marrow cell in a porous ceramic consisting of beta-tricalcium phosphate.

A feature identifying method for marrow biopsy slice hematopoietic cell of the field of image process technology, the step is following: the first step: processing t eh read, detection and data storage for the marrow cell biopsy slice at the interface window; the second step: diving the area for the integral marrow cell biopsy slice according to the size of the cells to distinguish the cells in the different area and processing counting, locating the position of the cell and processing pre-diving for the build of the last three-dimensional model; the third step, uses the canny operator to process edge detection for the marrow cell biopsy slice, and separating the individual cell from the cell set of the integral slice; the fourth step, using the grey histogram to process grey treatment for the marrow cell biopsy slice, and distinguishing the proportion that the cell accounting for the divided grid via the grey grade of the chromosome cell. The invention solves the exhaustion of the stuffs caused by the original identification and the error problems, and enhances the precision of the cell feature identification.

The invention discloses a morphological feature fused microscopic image bone marrow cell counting method and system, and the method comprises the steps: 1) obtaining labeled and unlabeled bone marrow cell microscopic images, and carrying out the image preprocessing; 2) segmenting the labeled / label-free bone marrow cell microscopic image into a plurality of labeled / label-free single bone marrow cell microscopic images according to the cell segmentation marks and a watershed algorithm, and carrying out image preprocessing on the single bone marrow cell microscopic images; 3) carrying out cell nucleus and cytoplasm segmentation on the labeled and unlabeled single bone marrow cell microscopic images by using an improved maximum between-cluster variance method and an N-distance edge expansion method, and extracting morphological characteristics; 4) constructing a hybrid convolutional neural network model, and inputting the labeled single bone marrow cell microscopic image into the model for training; and 5) predicting cell categories of the unlabeled single bone marrow cell microscopic image by using the trained hybrid convolutional neural network model, and counting each cell category. The method has relatively high precision on bone marrow cell counting.

The invention discloses a continuous mature stage bone marrow cell image automatic identification method and system, and a medium. The method mainly comprises the following steps: obtaining a data set conforming to a specification; constructing a dense connection type convolutional neural network model for automatic identification of bone marrow cells through transfer learning; carrying out size normalization on the single-cell image data, and dividing a data set after image size normalization; finely adjusting hyper-parameters of the training method, performing structural parameter training on the constructed model through fine-adjusted hyper-parameter training, obtaining an optimal structural parameter model, and introducing multiple types of random data augmentation in training; and carrying out bone marrow cell recognition effect test and evaluation on the model by utilizing multi-fold cross validation. According to the invention, automatic identification or classification of the bone marrow cells in the continuous maturation stage can be realized, the identification effect is good, and the performance and accuracy of automatic identification of the bone marrow cells in the continuous maturation stage can be improved.

The invention belongs to the field of marrow cell examination, and specifically relates to a preparation method of a marrow fluid smear. The preparation method comprises steps of extracting marrow fluids, adding an anti-coagulant, smearing the marrow fluids, and carrying out dyeing. The provided preparation method had the advantages that the morphology of marrow cells can be effectively maintained, the marrow cells can be distributed more evenly, the classification of marrow cells becomes easier; and the marrow cell examination becomes more accurate. At the same time, the operation is simple and convenient, the quality is easy to control, moreover, the prepared smear is uniformly dyed; the dyed cells are bright and symmetrical, the structure is clear; the color and transparency of cytoplasm can represent the corresponding characteristics of various cells in each phase; the contrast ratio of cytoplasm and cell nucleus dyeing is good, and the provided marrow fluid smear preparation method is ideal.

Methods to treat the defects in skeletal tissues characterized by protecting the marrow cells adjacent to the defects from apoptotic and / or necrotic cell death are disclosed. The methods provide additional benefits which are to reduce inflammation and irritation in the marrow tissues and assist promoting new skeletal tissue formation to an application of a simple skeletal formation or regeneration activity such as a bone growth factor. The methods may involve application of pharmacologically active peptidic compounds comprising about 15 to about 28 amino acids in their sequences characterized by containing at least one of an integrin binding motif such as an RGD sequence, a glycosaminoglycan attachment motif, and / or a calcium binding motif. The sequence may be a 23 amino acid sequence formulated for injection, topical application, or dispersed in a matrix such as collagen or a tooth filling composition or gum patch and administered to enhance bone / tooth growth or prevent loss.

The invention discloses a bone marrow cell proliferation degree automatic grading method and system, and belongs to the technical field of computational microimaging. The method comprises the following steps: performing image acquisition on a bone marrow smear to obtain an intensity graph and a phase graph; inputting the intensity graph and the phase graph into a convolutional neural network model, and respectively counting nucleated cells and nucleless cells in the bone marrow smear through the convolutional neural network model; and calculating the ratio of nucleated cells to nucleless cellsaccording to the counting result, and obtaining the grade of the bone marrow cell proliferation degree, so as to overcome the complex problem in manual counting and provide accurate cell counting forgrading of the bone marrow cell proliferation degree.

The invention discloses a bone marrow cell classification method and system, computer equipment and a storage medium. The method comprises the following steps: acquiring a first data set and a second data set; constructing a bone marrow cell fine-grained classification network; acquiring a plurality of original bone marrow cell microscopic images; inputting each original bone marrow cell microscopic image into the trained bone marrow cell detection network for prediction, and outputting a prediction mark of a cell bounding box in each original bone marrow cell microscopic image; segmenting the original bone marrow cell microscopic image according to the prediction result of the cell bounding box, so that each image only contains one complete bone marrow cell; and inputting the segmented image into a bone marrow cell fine-grained classification network for classification, and outputting to obtain a classification result of the bone marrow cells. According to the invention, through learning of multi-layer features in the deep network and introduction of a knowledge distillation mechanism, fusion information is introduced into a single-layer feature classifier, and classification precision of bone marrow cells is improved.

The invention relates to a human bone marrow cell processing kit and a cell processing method. The human bone marrow cell processing kit is characterized by consisting of the following three reagents: No.1 reagent which, as a thinner, is 0.5-20% of a sodium chloride injection or PBS (poly butylenes succinate) liquid, No.2 reagent which, as a precipitator, is 0.5-20% of hydroxyethyl starch or methylcellulose, and No.3 reagent which, as layering liquid, is prepared from ficoll and meglumine diatrizoate and is 1.0-1.2 in density. The cell processing method comprises the following steps: adding marrow containing sodium citrate anti-coagulation liquid to a high-capacity nutrient solution bottle which contains the No.1 reagent, and then adding the No.2 reagent and uniformly shaking; standing by, sucking upper cell liquid after layering and centrifuging for 1-20min, thinning the cell liquid by virtue of normal saline after the cell liquid is centrifuged and concentrated and paving the normal saline on the upper layer of No.3 liquid, then centrifuging so that a stem cell layer is separated, collecting the stem cell layer, and cleaning cells by virtue of normal saline for later use. The cell processing method is strong in operability, high in clinical safety and convenient for clinical popularization; and the kit is easy for storage and transportation, applicable to industrial production, and convenient and rapid to use.

The invention discloses a method for detecting protease-4 of a human airway trypsin sample by using flow cytometry. Specifically, the method comprises the following steps: (1) collecting a marrow or peripheral blood sample; (2) performing immunofluorescent labeling; (3) performing detection with a becton dickinson caliber. According to the detection method disclosed by the invention, a few of marrow cells canbe used as samples, and peripheralblood can be also used as a sample, so that pain of a patient in a sample collecting process can begreatly relieved, and the compliance of the patient is improved. Furthermore, the operation steps in the detection method disclosed by the invention are simple and convenient, and the detection period is short; the detection can be completed within only several hours; the detection period is greatly shortened, the progress of relevant researches can be accelerated favorably, and the time cost is reduced.

The invention discloses a bone marrow stem cell preservation and transportation method and belongs to the technical field of biology. The method comprises the following steps that red marrow is obtained according to the clinical routine; the marrow is added into 5-fold PBS, centrifugation is carried out, and marrow cells are obtained; PBS is added into the marrow cells, and the mixture is lightly stirred to form suspension; separation liquid containing trehalose is added into a centrifugal pipe, the suspension is flatly laid on the separation liquid, centrifugation is carried out, and albuginea layer cells are absorbed; the cells and a freezing medium are mixed in equal proportion to be subpackaged in a freezing pipe; the mixture is frozen at -80 DEG C, and then transferred into liquid nitrogen to be frozen; the freezing pipe is taken out of the liquid nitrogen and immediately placed into a constant-temperature water bath tank to be lightly waggled to be rethawed; the rethawed cell suspension cell is transferred to the centrifugal pipe containing normal saline at 3-7 DEG C, mixed to be uniform and centrifuged, and bone marrow stem cells are collected; the bone marrow stem cells are added into a preservation solution containing 0.5% trehalose, and transported to a using unit through a heat insulation box with the constant temperature of 3-7 DEG C within 24 h. By means of the method, the activity of the cells is kept in the transportation process.

The invention belongs to the field of bone marrow cell morphology detection, and particularly relates to a counting and analyzing method of an automatic bone marrow cell morphology detection system. According to the technical scheme, the counting and analyzing method of the automatic bone marrow cell morphology detection system comprises the following steps: S1, recognizing low-magnification images integrally, and searching and counting special cells and giant cells in the low-magnification images; and S2, randomly selecting a plurality of counting areas in the areas of the screened high-powerimages, and identifying and counting all kinds of cells in the areas; and S3, performing reference judgment on the counting result of each counting area. According to the invention, multi-point sampling is adopted, and then representative analysis is performed on the data of each sampling point, so that the data of each sampling point has reference. Then, all the data with the reference samplingpoints are subjected to weighted calculation, so that the statistical data is closer to a real value, and the final data is more accurate in pointing.

The invention provides a bone marrow cell classification and identification method, device and system based on deep learning, and belongs to the field of medical image processing. The method comprises the following steps: (1) acquiring a low-power lens full-slice image of a bone marrow smear by using a low-power lens; (2) cutting the low-power lens full slice image of the bone marrow smear into a plurality of low-power lens small images with the same size as the high-power lens imaging view; (3) classifying the low-power mirror small images obtained in the step (2) by using a trained image classification model to obtain low-power mirror small images with good visual fields; (4) scanning and imaging the low-power lens small image with a good visual field by using a high-power lens to obtain a corresponding high-power lens image; (5) classifying and counting bone marrow cells in the high-power lens image obtained in the step (4) by using the trained target detection model; (6) predicting blood diseases according to classification and counting results of the bone marrow cells. Therefore, identification and classification of bone marrow cells can be reliably and automatically realized, and the accuracy of blood disease prediction can be improved.

The invention discloses a bone marrow cell classification and recognition method based on transfer learning and image texture features. The method comprises the following steps: obtaining training sample pictures; extracting cell image textural features and classifying the cell image textural features into large classes; carrying out transfer learning, carrying out machine learning algorithm training on the cell type with the largest number of pictures in the first large class, establishing a model, and carrying out machine learning on the cell type with the second number of pictures in the first large class after the model training is completed; learning a cell type with a third picture number in the cell large class until all types of cells in the cell large class are trained, and then carrying out cell identification training of the next large class; performing algorithm effect determination. According to the method, the defects in the prior art are overcome, and training can be completed with only one tenth of the data volume of a traditional machine learning algorithm; meanwhile, the stability of a machine learning algorithm is improved in combination with traditional textureimage features, so that the problem of recognition and classification of bone marrow cells can be well solved.

The invention provides novel gangliosides and mixtures of novel gangliosides, and drug products containing the same. The invention also provides cells induced to over-express one or more gangliosides. The invention further provides methods for production of gangliosides, e.g., GM1, from cells in culture using, for example, bone marrow cells and neuroblastoma cells. Methods include the treatment of cells with neural induction media and chloroquine, or chloroquine alone in the case of, e.g., human bone marrow cells, neuraminidase or glucosamine, to induce the production of gangliosides, e.g., GM1, in the cells. Also provided are methods of long-term, high density culturing of cells without passaging to produce gangliosides, e.g., GM1. Methods of quantifying gangliosides, e.g., GM1 in cell culture are also provided.

The invention provides a bone marrow cell morphology artificial intelligence analysis method which comprises the following steps: (1) establishing a model: constructing a convolutional neural networkmodel by utilizing a computer, and training the convolutional neural network model by taking morphological images of bone marrow cells at different stages as a training data set; (2) collecting a bonemarrow cell image to be analyzed: extracting an image of a bone marrow plate by using a microscope, and transmitting the image of the bone marrow plate to a computer; and (3) bone marrow cell morphology analysis: inputting an image of a bone marrow sheet into the convolutional neural network model trained in the step (1), and outputting a result. According to the method, digitization of the bonemarrow cells is achieved through AI, extraction, recognition and storage are facilitated, and judgment of the bone marrow cells is more objective and more accurate.

The invention discloses a method for analyzing and evaluating the erythropoiesis function of mouse marrow through a flow cytometry. According to the method, mouse marrow cells are subjected to dyeing incubation with thiazole orange, rat IgG and APC Rat Anti-mouse Ter119. Incubation sequence is that firstly, the mouse marrow cells and thiazole orange are incubated for appropriate time, centrifugation and supernatant abandoning are conducted, then, rat IgG is added to be incubated for appropriate time, and APC Rat Anti-mouse Ter119 is added to be incubated for appropriate time. Finally, PBS is added, the proportions of mature erythrocytes, reticulocyte, normoblast and proerythroblast in all cells of the mouse marrow are quantitatively analyzed on the flow cytometry, and therefore the erythropoiesis function of the mouse marrow is analyzed and evaluated. The method is quick, accurate, simple, easy to practice, low in cost and beneficial to application and popularization.

The invention provides a novel cell morphology artificial intelligence automatic diagnosis method and relates to the technical field of medical diagnosis. The method comprises steps of S1, establishing a data sharing system, and overlapping a cell morphology diagnosis platform; S2, carrying out a cytomorphological analysis conference, and researching blood cell morphology, bone marrow cell morphology and the like uploaded by a hospital end; and S3, establishing a data analysis model, setting a related program algorithm, and training an artificial intelligence robot. The artificial intelligencerobot is trained, cells can be automatically diagnosed by utilizing the self-learning and analysis capabilities of the artificial intelligence robot, compared with the prior art, the method is advantaged in that a huge database is not needed for comparison, a large amount of time is saved, accuracy of an analysis result is greatly improved, moreover, some new cellular morphology databases can becompletely analyzed, and thereby development of an artificial intelligence automatic diagnosis technology is accelerated.

The invention belongs to the field of bone marrow cell morphology detection, and particularly relates to a bone marrow cell morphology automatic detection system and a working method thereof. According to the technical scheme, the bone marrow cell morphology automatic detection system comprises a printer and further comprises a central control module, a scanning structure and a man-machine interaction structure. The scanning structure is in communication connection with the central control module; the man-machine interaction structure is in communication connection with the central control module; the printer is in communication connection with the central control module; the scanning structure comprises a transmission device, a light source box and an image acquisition device; and the transmission device is arranged on the light source box and is rotationally connected with the light source box. The system integrates scanning, automatic detection, human interaction and disease association, performs full-automatic detection on bone marrow cell morphology, and avoids the problems of large detection workload, poor repeatability and easy misdiagnosis of disease conditions during manual detection.

The invention provides an automatic focusing scanning method and system based on the bone marrow cell glass slide. Automatic focusing scanning of a plurality of bone marrow smears is achieved, a digital image is formed, and remote reading of the same bone marrow smear can be achieved through a network. According to the automatic focusing scanning method for the bone marrow cell glass slide, the image definition is calculated in a specific image definition calculation mode and serves as an image feedback signal to adjust the position of a focus of bone marrow cell focusing imaging. The focusingprocess of bone marrow cell imaging is rapidly achieved, and the problem that the digitization speed and imaging definition of an existing scanning focusing system cannot be considered at the same time can be solved.

The invention discloses N-substituted-tetrahydropyridylindole-monoclonal antibody CD14 conjugates, and a preparation method and application thereof, belonging to the field of chemical biomedicine. The structure of the conjugates is disclosed as Formula (II): under the action of a condensing agent DCC, the amino acid residue at the C terminal in the CD14 monoclonal antibody molecule is combined with sec-amino group on the indole ring in N-substituted-tetrahydropyridylindole compounds (I) to obtain the monoclonal antibody CD14 conjugates with General Formula (II). The conjugates disclosed as Formula (II) can efficiently inhibit leukaemia K562 cell proliferation, and the IC50 value for inhibiting leukaemia K562 cell proliferation is obviously lower than that of the conventional chemotherapeutic drug 5-fluorouracil (5Fu); and the conjugates disclosed as Formula (II) have low toxicity for mouse normal marrow cells, and can be used for preparing drugs for treating leukaemia.