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5409 results about "Biomedicine" patented technology

Biomedicine (i.e. medical biology) is a branch of medical science that applies biological and physiological principles to clinical practice. The branch especially applies to biology and physiology. Biomedicine also can relate to many other categories in health and biological related fields. It has been the dominant health system for more than a century.

Method and device for photothermal examination of microinhomogeneities

The invention relates to optical microscopy, and more particularly to the methods for photothermal examination of absorbing microheterogeneities using laser radiation. The invention can be widely used in laser technique, industry, and biomedicine to examine transparent objects with absorbing submicron fragments, including detection of local impurities and defects in super-pure optical and semiconducting materials and non-destructive diagnostics of biological samples on cellular and subcellular levels.The object of the present invention is to increase sensitivity, spatial resolution and informative worth when examining local absorbing heterogeneities in transparent objects, as well as to detect the size of said heterogeneities even if said size is smaller than the radiation wavelength used.Said object is achieved by the pump beam irradiation of a sample, the duration of said irradiation not being longer than the characteristic time of cooling of the microheterogeneity observed. A relatively vast surface of the sample is irradiated at once, the size of said surface not being larger than the wavelength of the pump laser used. The refraction index thermal variations, induced by the pump beam in the sample and being the result of absorption, are registered by the parameter change of the probe laser beam. A chosen probe beam diameter should not be smaller than the pump beam diameter. The diffraction-limited phase distribution over the probe laser beam cross-section is transformed to an amplitude image using a phase contrast method. The properties of microheterogeneities are estimated by measuring said amplitude image.
Owner:LAPOTKO TATIANA MS

Preparation method of novel three-dimensional nitrogen doped graphene composite material system

The invention discloses a preparation method of a novel three-dimensional nitrogen doped graphene composite material system. The method comprises the following steps: 1, uniformly dispersing graphene oxide in a solvent at room temperature, adding a selected material and a nitrogen-containing compound, and uniformly mixing to form a mixed solution; 2, reacting the mixed solution at a temperature from room temperature to 150DEG C for 0-8h; and 3, cooling the above obtained product to room temperature, centrifuging, collecting the obtained product, washing, and drying to obtain the nitrogen doped graphene composite material. The three-dimensional nitrogen doped graphene composite material system with the nitrogen content of 8-19% can be efficiently and controllably prepared through the method, and the nitrogen content of the system can be controlled by changing the kind and the amount of the added nitrogen-containing compound, the reaction temperature and the reaction time; and the method is simple, is easy to enforce, allows the yield to be greater than 98.9%, and can be widely used in fields of water treatment, biomedicines, energy generation, conversion and storage devices, electrostatic prevention, heat management, heat conduction and dissipation, sensors, electromagnetic shielding, wave absorption and catalysis.
Owner:SUZHOU INST OF NANO TECH & NANO BIONICS CHINESE ACEDEMY OF SCI

Two channel-based multi-spectrum fluorescent imaging microscopic system and method

The invention is applicable to the field of optics, biomedicine, life science and the like, and provides a two channel-based multi-spectrum fluorescent imaging microscopic system and method, wherein the two channel-based multi-spectrum fluorescent imaging microscopic system comprises a picosecond pulse laser device, a fluorescent excitation and collection light path, a microscopic objective lens, a light beam lens, a double-ICCD detector, and a control and processing module. The invention further discloses a method for performing multi-spectrum imaging by utilizing the two channel-based multi-spectrum fluorescent imaging microscopic system. According to the two channel-based multi-spectrum fluorescent imaging microscopic system and method, the limitation of the existing fluorescent microscope and a fluorescent life imaging microscopic system only can acquire single wavelength fluorescent signal with one-time detection can be effectively solved, the simultaneous acquisition of the multi-spectrum fluorescent strength and fluorescent light image aiming at the dynamic process of fluorescent intensity-related detection limited in biomedicine and life science can be performed, so that the research and application ranges of biophotonics can be extended.
Owner:INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI

Local Causal and Markov Blanket Induction Method for Causal Discovery and Feature Selection from Data

In many areas, recent developments have generated very large datasets from which it is desired to extract meaningful relationships between the dataset elements. However, to date, the finding of such relationships using prior art methods has proved extremely difficult especially in the biomedical arts. Methods for local causal learning and Markov blanket discovery are important recent developments in pattern recognition and applied statistics, primarily because they offer a principled solution to the variable/feature selection problem and give insight about local causal structure. The present invention provides a generative method for learning local causal structure around target variables of interest in the form of direct causes/effects and Markov blankets applicable to very large datasets and relatively small samples. The method is readily applicable to real-world data, and the selected feature sets can be used for causal discovery and classification. The generative method GLL-PC can be instantiated in many ways, giving rise to novel method variants. In general, the inventive method transforms a dataset with many variables into either a minimal reduced dataset where all variables are needed for optimal prediction of the response variable or a dataset where all variables are direct causes and direct effects of the response variable. The power of the invention and significant advantages over the prior art were empirically demonstrated with datasets from a diversity of application domains (biology, medicine, economics, ecology, digit recognition, text categorization, and computational biology) and data generated by Bayesian networks.
Owner:ALIFERIS KONSTANTINOS CONSTANTIN F +1

Biomedicine event trigger word identification method based on characteristic automatic learning

The invention relates to the technical field of biomedicine, and relates to a biomedicine event trigger word identification method based on characteristic automatic learning. The biomedicine event trigger word identification method comprises the following steps of 1, data pre-processing; 2, construction of an event trigger word dictionary; 3, construction of candidate trigger word examples; 4, characteristic learning by means of a convolutional neural network model; 5, training by means of a neural network model; and 6, classification of event trigger words. The biomedicine event trigger word identification method is advantaged in that 1, complex preprocessing to data is simplified, and tedious steps for carrying out a characteristic design by people are saved; 2, domain knowledge is introduced, and a lot of external resources such as unlabeled linguistic data are effectively utilized; 3, characteristic automatic learning is carried out by means of a convolutional neural network, manual intervention is reduced, sentence level characteristics in a deeper level can be excavated and explored, through the fusion of local characteristics, implicit global characteristics are discovered, and the category of trigger words can be identified; and 4, a better experiment result is obtained in MLEE linguistic data, and the whole performance on event trigger word detection is improved.
Owner:DALIAN UNIV OF TECH
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