30 results about "Early stage disease" patented technology

The invention discloses an in-vivo nondestructive testing system for plant diseases based on an optical imaging technique. Most detection manners for plant diseases aim at disease-visible plant diseases at presents. According to the system, light signals emitted by a light source respectively enter a sample arm and a reference arm after passing through an optical fiber coupler; returned to-be-tested signal light and reference light are intervened at the optical fiber coupler; reference light signals are received by an OCT spectrograph and are input into a control computer; light emitted from axenon lamp is filtered by a narrow-band pass filter to form ultraviolet light, and the ultraviolet light is reflected into an objective lens through a dichroscope and is emitted into a to-be-tested object through an objective lens so as to emit fluorescence; the fluorescence is backtracked to a hyperspectral spectrograph to form a spectrum, and the spectrum is transmitted to a control computer; and then the control computer executes OCT structural image reconstruction on the to-be-tested object, calculates a light penetration depth, an attenuation coefficient and an image entropy, executes spectral information analysis based on a fluorescent hyperspectral image and extracts spectral characteristics. The in-vivo nondestructive testing system can meet the requirements on plant minimal lesion detection, and early-stage disease detection can be realized.

We describe methods and apparatus for high-speed high-contrast imaging one-, two- and three-dimensional imaging enabled by differential interference contrast time encoded amplified microscopy of transparent media without the need for chemical staining, that are suitable for a broad range of applications from semiconductor process monitoring to blood screening. Our methods and apparatus build on a unique combination of serial time-encoded amplified microscopy (STEAM) and differential interference contrast (DIC) microscopy. These methods and apparatus are ideally suited for identification of rare diseased cells in a large population of healthy cells and have the potential to revolutionize blood analysis and pathology including identification of cancer cells, such as Circulating Tumor Cells (CTC) in early stage disease.

The invention discloses a monoclonal antibody for resisting to cyprinus carpio haematopterus IgM, a hybridoma cell strain and application of the monoclonal antibody. The monoclonal antibody for resisting to cyprinus carpio haematopterus IgM is secreted and produced by the hybridoma cell strain A5-E10 with the preservation number being CCTCC NO: C2015218. The monoclonal antibody can be applied to detection of certain pathogeny of cyprinus carpio haematopterus or common carp or a vaccine specific antibody of an aquatic product, thereby early-stage disease diagnosis and vaccine using effect evaluation are conducted, high clinical application and promotion value is achieved for epidemiological investigation and pathogeny diagnosis conducted on disease of cyprinus carpio haematopterus or common carp, and reference is provided for prevention and treatment of other cultured fish diseases.

The invention provides a loose material nematodosis early diagnosis method. The loose material nematodosis early diagnosis method comprises the following steps of collecting a near infrared spectrum of a pine needle of an early stage disease pine tree by using a near infrared spectroscopy, simultaneously collecting a pine needle of a spectrogram of a non-disease pine tree, and establishing a distinguishing model according to two groups of spectrum data; and collecting a spectrogram of the pine needle to be detected, carrying out forecast operation on the spectrogram by using the distinguishing model, and combining a distinguishing threshold value to judge whether the pine tree to be detected gets a disease according to a forecast value. The loose material nematodosis early diagnosis method provided by the invention takes an near infrared spectrum as a core technology, a distinguishing model is rapidly established through a training set sample, the discovery of a pine material nematodiasis of the pine tree is prolonged about ten days, the effective technic instrument is provided for the early diagnosis of the disease, and the abundant time is provided for the treatment of the disease; the loose material nematodosis early diagnosis method provided by the invention has the characteristics that the rapid high efficiency accuracy is high and the like, the early diagnosis of the pine material nematodiasis is realized, and the important technology instrument is provided for the severe damage of the pine tree caused by the early stage discovery, treatment and preventing pine material nematodiasis.

The invention discloses a seed coating agent, which contains the bactericides fludioxonil and difenoconazole and the insecticide dinotefuran as the active components. Specifically, the bactericides fludioxonil and difenoconazole and the insecticide dinotefuran are in a mass ratio of 201:1-1:20, and the balance water. The seed coating agent prepared from the components is subjected to coating according to a drug-seed ratio of 1:2-1:1000, can achieve a very good control effect on earlier stage diseases and pests of wheat, obviously improves the seedling emergence rate, plant height, fresh weightand other indexes, is significantly better than conventional coating agents, is a good coating agent for wheat seeds, and also can be applied to coating of soybeans, corn, potatoes, rice and other crops' seeds and tubers. The coating agent has the characteristics of easily available raw materials, low cost and easy preparation.

The invention relates to an application of chitosan nanogel loaded with oxytocin in preparation of a medicine for early intervention of Alzheimer's disease. The research finds that the chitosan nanogel loaded with oxytocin has a remarkable effect in the aspect of early treatment of the Alzheimer's disease. Cellular level experiment results show that the chitosan nanogel loaded with the oxytocin can inhibit microglial cell activation caused by lipopolysaccharide and reduce expression of inflammatory factors in microglial cells. Animal level experiment results show that the chitosan nanogel loaded with the oxytocin can significantly reduce the expression level of inflammatory factors of hippocampus of an early model mouse with the Alzheimer's disease, significantly reduce beta-amyloid protein deposition and neuron damage, and significantly improve the learning and memory ability of the early model mouse with the Alzheimer's disease. The chitosan nanogel loaded with the oxytocin is simple in preparation process, mild in reaction condition and easy in surface modification.

The invention discloses a monoclonal antibody for resisting to cyprinus carpio haematopterus IgM, a hybridoma cell strain and application of the monoclonal antibody. The monoclonal antibody for resisting to cyprinus carpio haematopterus IgM is secreted and produced by the hybridoma cell strain A5-E10 with the preservation number being CCTCC NO: C2015218. The monoclonal antibody can be applied to detection of certain pathogeny of cyprinus carpio haematopterus or common carp or a vaccine specific antibody of an aquatic product, thereby early-stage disease diagnosis and vaccine using effect evaluation are conducted, high clinical application and promotion value is achieved for epidemiological investigation and pathogeny diagnosis conducted on disease of cyprinus carpio haematopterus or common carp, and reference is provided for prevention and treatment of other cultured fish diseases.

Low doses of IL-2 are administered locally and neo-adjuvantly to patients with early stages of the disease. This will result in local high concentrations of IL-2 within the relevant tumor draining lymph nodes. Patients with only early stages of disease will be more responsive to immunotherapy with the expectation of improved survival of patients compared to current therapy standards.

The invention discloses a health status evaluation system based on deep learning of multidimensional physiological big data, which utilizes a non-supervised convolutional neural network to extract features of physiological time-series data, and then utilizes multivariate Gaussian distribution for feature abnormality detection. The results show that it is an efficient anomaly detection system for physiological signals that can learn high-level features of signals from original physiological signals and multivariate Gaussian distribution anomaly detection. Users can identify certain early symptoms and take corresponding preventive measures in advance to reduce the risk of disease.

The invention relates to an application of miRNA (micro Ribonucleic Acid) in preparation of a medicine for treating an Alzheimer's disease (AD), and the miRNA is composed of one or two of miR-1185-2-3p and miR-107. The invention also relates to an application of the miRNA in preparation of the medicine for treating the Alzheimer's disease (AD), and the miRNA is composed of one or two of miR-1185-2-3p and miR-107. The invention also relates to a corresponding pharmaceutical composition and application thereof. The miRNA has the beneficial effects that the single miRNA and the combination thereof which have relatively high treatment value on AD are found for the first time, so that the possibility of carrying out early treatment on AD pathogenesis in the genetic regulation field is realized, and the early intervention on AD pathogenesis is facilitated.

The invention provides a loose material nematodosis early diagnosis method. The loose material nematodosis early diagnosis method comprises the following steps of collecting a near infrared spectrum of a pine needle of an early stage disease pine tree by using a near infrared spectroscopy, simultaneously collecting a pine needle of a spectrogram of a non-disease pine tree, and establishing a distinguishing model according to two groups of spectrum data; and collecting a spectrogram of the pine needle to be detected, carrying out forecast operation on the spectrogram by using the distinguishing model, and combining a distinguishing threshold value to judge whether the pine tree to be detected gets a disease according to a forecast value. The loose material nematodosis early diagnosis method provided by the invention takes an near infrared spectrum as a core technology, a distinguishing model is rapidly established through a training set sample, the discovery of a pine material nematodiasis of the pine tree is prolonged about ten days, the effective technic instrument is provided for the early diagnosis of the disease, and the abundant time is provided for the treatment of the disease; the loose material nematodosis early diagnosis method provided by the invention has the characteristics that the rapid high efficiency accuracy is high and the like, the early diagnosis of the pine material nematodiasis is realized, and the important technology instrument is provided for the severe damage of the pine tree caused by the early stage discovery, treatment and preventing pine material nematodiasis.

The invention discloses a fluorescence liquid drop sorting system based on digital microfluidics and a sorting method thereof. The fluorescence liquid drop sorting system comprises a digital microfluidic chip, an integrated circuit and a fluorescence excitation and acquisition module. The digital microfluidic chip is connected with the integrated circuit; and the fluorescence excitation and acquisition module is connected with the digital microfluidic chip and the integrated circuit respectively. According to the fluorescence liquid drop sorting system based on the digital microfluidics, disclosed by the invention, generation, transportation and sorting processes of liquid drops are carried out based on an on-chip dielectric wetting principle, so that a realization mechanism of the third party does not need to be added and the miniaturization of the system is relatively easy to realize; and single liquid drops are manipulated and analyzed in the processes, and a biochemical staining and fluorescence protein marking technology is combined, so that the fluorescence liquid drop sorting system can be used for detecting and sorting single cells, secreted proteins or microorganisms, and is used for the fields of early-stage disease diagnosis and treatment and the like.