71 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.

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.

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 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 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 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 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.