132 results about "Cervical cells" patented technology

Provided is an HPV E6, E7 mRNA assay, referenced herein as the “In Cell HPV Assay,” that is capable of sensitive and specific detection of normal cervical cells undergoing malignant transformation as well as abnormal cervical cells with pre-malignant or malignant lesions. The In Cell HPV Assay identifies HPV E6, E7 mRNA via in situ hybridization with oligonucleotides specific for HPV E6, E7 mRNA and quantitates the HPV E6, E7 mRNA via flow cytometry. The In Cell HPV Assay can be carried out in less than three hours directly from liquid-based cervical (“LBC”) cytology specimens. The In Cell HPV Assay provides an efficient and highly sensitive alternative to the Pap smear for determining abnormal cervical cytology.

The invention discloses a convolutional neural network-based cervical cell image recognition method. The method is characterized by comprising the following steps of: (1) preparing a training sample; (2) constructing a convolutional neural network layer; (3) constructing a second classifier; and (4) obtaining a recognition result: inputting a to-be-tested cervical cell image into an improved convolutional neural network so as to be automatically recognized and classified by the improved convolutional neural network. The method is high in automation degree and strong is adaptive ability, not only can improve the cervical cell image recognition efficiency, but also can improve the cervical cell image recognition correctness.

A non-invasive, risk-free method of prenatal diagnosis is provided. According to the method of the present invention transcervical specimens are subjected to trophoblast-specific immuno-staining followed by FISH, PRINS, Q-FISH and / or MCB analyses and / or other DNA-based genetic analysis in order to determine fetal gender and / or identify chromosomal and / or DNA abnormalities in a fetus. Also provided is a method of in situ chromosomal, DNA and / or RNA analysis of a prestained specimen by incubating the prestained specimen in ammonium hydroxide. Also provided is a method of identifying embryonic cells according to a nucleus / cytoplasm ratio of at least 1:1 and the presence of at least variably condensed chromatin.

The invention discloses an unsupervised cervical cell image automatic segmentation method. The method comprises the following steps of 1) preprocessing a cervical cell image; 2) subjecting the preprocessed cell image to the pre-background rough segmentation, and extracting a region to which cells belong; 3) subjecting the roughly segmented cell image to the detection and segmentation of cell components, and segmenting cells of different types by using a rapid region convolution neural network; 4) detecting and segmenting the cell nucleuses of cervical cells; 5) according to the characteristic parameters of the cell nucleuses, screening the cell nucleuses to obtain final candidate cell nucleuses; 6) judging whether the cell types obtained in the step 3) are multicellular spheroids or not; if not, segmenting a cytoplasmic region by using an activity contour model and a prior template; otherwise, conducting the step 7); 7) conducting the post-treatment based on the segmentation result of cell nucleus and cytoplasm, and the domain knowledge. In this way, the effective segmentation of a whole cervical cell is completed.

A device is described that allows women to collect and preserve cervical cell samples to be later tested in a clinical analysis laboratory. It includes a cylindrical body, housing a shaft that axially pushes and retracts a cell collector. The penetration necessary for the insertion device is self-induced by the woman, and therefore has morphological characteristics that are adaptable to the anatomical shape of the vagina. The shaft slides inside the device to position the cell collector on the surface of the cervix. Once the sample is taken, the shaft is retracted, and the cell collector collapses as a consequence of the sliding inside the device, and positioning itself inside the handle, which may contain a liquid medium for cellular containment.

A device, a kit, and a method of use thereof, for self-administration and collection of cervical cell tissue samples such as for Pap smear testing. The device comprises an insertion tube, within which is carried a movable cervical aligning tool with an aligning probe, and a cellular sampling tool with a cellular adhesion surface. The aligning probe and cellular adhesion surface can be selectively movable relative to the insertion tube to improve accuracy of the testing and user safety.

The invention discloses a novel Feulgen staining method-based abnormal cervical cell automatic identification method. According to the automatic identification method disclosed by the invention, the features of the cervical cells are extracted, and the cervical cell classifier is trained, so that the identification of abnormal cervical cells is realized; the process of producing the cervical cellclassifier mainly comprises the following four steps of: 1, dyeing a cervical cell slide by using a Feulgen dyeing method, and automatically scanning the slide by using a microscope to generate a digital view; 2, segmenting cervical cell nuclei in the view map by using a Surf algorithm in combination with a RegionGrowing algorithm; 3, extracting DNA content information of the cell nucleus, cell nucleus morphological characteristics, cervical cell image texture characteristics and the like, and constructing a characteristic vector for representing the abnormal degree of each cervical cell; andstep 4, constructing and training a neural network classification model based on the feature vectors to obtain the cervical cell classifier; and finally, predicting a new cervical cell feature vectorby using the trained cervical cell classifier, thereby realizing the purpose of identifying abnormal cervical cells. Experiments show that the abnormal cervical cell automatic identification method based on the Feulgen staining method can complete the identification task of the abnormal cervical cell with high precision and efficiency, and the automatic identification method has high practical value when being applied to a real product.

Oligonucleotide probes for analyzing 40 types of HPV were synthesized, and DNA chips were produced by using the oligonucleotide probes. The synthesis of the oligonucleotide probes is based on clones of Ll and E6 / E7 genes of 35 types of HPV obtained from cervical cell specimens from 4,898 Korean adult women and tissue specimens from 68 cervical cancer cases in addition to information based on American and European cases. The DNA chips can analyze the 40 types of HPV found in cervical, diagnose complex infection by at least one type of HPV, and have excellent diagnostic sensitivity and specificity on HPV genetic type up to 100% and reproducibility. Also, the DAN chips are superior to conventional analytic method, and very economical, since they can analyze numerous specimens in shortest time. Accordingly, the DNA chips are useful for predicting cervical cancer and precancerous lesion.

The invention provides a cervical cell preservation and DNA fast extraction integrated kit which comprises cell preservation liquid, a first cleaning solution, a second cleaning solution, eluent and a DNA purification column. The cell preservation liquid comprises 2-3mol / L of guanidine hydrochloride or guanidinium thiocyanate, 5-50mmol / L of Tris-HCl, 1-10mmol / L of EDTA and 5-7.5v / v% of Trixon-100. The cervical cell preservation and DNA fast extraction integrated kit has the advantages that cervical sample DNA can be preserved in the cell preservation liquid of the kit for more than a week under room temperature, transportation of collected samples is facilitated, subsequent DNA extract does not need complex splitting anymore, the whole extraction process can be completed in 10 minutes, and DNA extraction efficiency is increased evidently; in addition, the extraction operation only needs a liquid-moving device and a centrifuge, instrument dependence is low, and the extracted DNA is high in purity.

Methods and compositions for identifying high-grade cervical disease in a patient sample are provided. The methods of the invention comprise detecting overexpression of at least one biomarker in a body sample, wherein the biomarker is selectively overexpressed in high-grade cervical disease. In particular claims, the body sample is a cervical smear or monolayer of cervical cells. The biomarkers of the invention include genes and proteins that are involved in cell cycle regulation, signal transduction, and DNA replication and transcription. In particular claims, the biomarker is an S-phase gene. In some aspects of the invention, overexpression of a biomarker of interest is detected at the protein level using biomarker-specific antibodies or at the nucleic acid level using nucleic acid hybridization techniques. Kits for practicing the methods of the invention are further provided.

The invention relates to methods for detecting and identifying potential biomarkers of high-grade cervical dysplasia in an individual human subject. The invention also relates to newly discovered biomarkers, as set forth in Tables 1-4 herein, which are associated with the dysplastic state of cervical cells. It has been discovered that a differential level of expression of any of these markers or combination of these markers correlates with a dysplastic condition in a human subject, e.g., a patient.

The invention provides a cervical cell image identification method based on a joint feature PCANet (Principal Component Analysis Net). The method comprises the steps of S100, denoising cervical cell images; S200, establishing the joint feature PCANet for the denoised cell images to extract image features, employing the joint feature PCANet with a structure of two PCA layers, inputting the output of a first PCA layer and the output of a second PCA layer into a binary hash and histogram processing layer and jointing the obtained features as final output image features; and S300, identifying the cervical cell images. According to the method provided by the invention, the cell particular features are extracted through an artificially designed feature operator; three kinds of cells: normal, lesion and canceration cells can be effectively identified; the method is applicable to identification of other cell images; and the generalization ability of the method is high.

The invention relates to methods, reagents and kits for detecting the susceptibility to cervical cancer. In particular, it relates to novel methylation markers to improve screening for cervical intraepithelial neoplasia grade 2 / 3(CIN2 / 3) and the use thereof for identifying a cervical cell as neoplastic or predisposed to neoplasia in an isolated sample.