71 results about "Histology type" patented technology

A method and system is provided for using backscattered data and known parameters to characterize vascular tissue. Specifically, methods and devices for identifying information about the imaging element used to gather the backscattered data are provided in order to permit an operation console having a plurality of Virtual Histology classification trees to select the appropriate VH classification tree for analyzing data gathered using that imaging element. In order to select the appropriate VH database for analyzing data from a specific imaging catheter, it is advantageous to know information regarding the function and performance of the catheter, such as the operating frequency of the catheter and whether it is a rotational or phased-array catheter. The present invention provides a device and method for storing this information on the imaging catheter and communicating the information to the operation console. In addition, information related to additional functions of the catheter may also be stored on the catheter and used to further optimize catheter performance and/or select the appropriate Virtual Histology classification tree for analyzing data from the catheter imaging element.

A method is described for determining biological tissue type based on a complex impedance spectra obtained from a probe with a conducting part adjacent a tissue region of interest, wherein the impedance spectra includes data from a number of frequencies. The method may include: obtaining, from the complex impedance spectra, a first data set representative of impedance modulus values, or equivalent admittance values, at one or more frequencies, obtaining, from the complex impedance spectra, a second data set representative of impedance phase angle values, or equivalent admittance values, at one or more different frequencies, applying a first discrimination criterion to the first data set, applying a second discrimination criterion to the second data set, and thereby determining if the tissue region of interest is a tissue type characterised by the discrimination criteria.

The present invention provides, inter alia, a method for generating a genome-wide epigenomic map, comprising a correlation between methylation variable CpG positions (MVP) and genomic DNA sample types. MVP are those CpG positions that show a variable quantitative level of methylation between sample types. Particular genomic regions of interest (ROI) provide preferred marker sequences that comprise multiple, and preferably proximate MVP, and that have novel utility for distinguishing sample types. The epigenic maps have broad utility, for example, in identifying sample types, or for distinguishing between and among sample types. In a preferred embodiment the epigenomic map is based on methylation variable regions (MVP) within the major histocompatibility complex (MHC), and has utility, for example, in identifying the cell or tissue source of a genomic DNA sample, or for distinguishing one or more particular cell or tissue types among other cell or tissue types. Analysis of epigenetic characteristics of one, or of a set of nucleic acid sequences, in the context of an inventive epigenomic map, allows for the determination of an origin of the nucleic acids.

Semiconductor nanoparticles are doped with paramagnetic ions to serve as dual-mode optical and magnetic resonance imaging (MRI) contrast agents. These nanoparticles can be constructed in smaller diameters than typical MRI agents. The dual-modality nature allows the particles to be used for in vivo imaging by MRI, and then followed by histology with optical imaging techniques.

The present invention related to methods and kits for evaluating the histology and prognosis of lung cancer by measuring expression levels of specific gene markers. It is based, at least in part, on the discovery of 99 genes that were found to be differentially expressed among lung cancer subtypes, 30 genes which correlate with a high risk, and 12 genes which correlate with a low risk, of cancer death within 12 months.

Factors affecting the fragmentation pattern of cell-free DNA (e.g., plasma DNA) and the applications, including those in molecular diagnostics, of the analysis of cell-free DNA fragmentation patterns are described. Various applications can use a property of a fragmentation pattern to determine a proportional contribution of a particular tissue type, to determine a genotype of a particular tissue type (e.g., fetal tissue in a maternal sample or tumor tissue in a sample from a cancer patient), and/or to identify preferred ending positions for a particular tissue type, which may then be used to determine a proportional contribution of a particular tissue type.

Femtosecond laser pulses are used to iteratively cut and image fixed as well as exsanguinated fresh tissue. Such images help to automate three-dimensional histological analysis of biological tissue. Cuts are accomplished with approximately 0.3 to 100 microJoule pulses to ablate tissue with one-micrometer precision. Permeability, immunoreactivity, and optical clarity of the remaining tissue is retained after pulsed laser cutting. Samples from transgenic mice that express fluorescent proteins retained their fluorescence to within micrometers of the cut surface.

The present invention is directed to a novel multi-wavelength imaging method and apparatus that enables rapid imaging of tissue regions with accurate identification of tissue types within the region. Optical properties, such as co-polarized or cross-polarized fluorescence or reflectance intensity, optical density and/or reflectance, can be determined at a plurality of locations within the tissue region for each wavelength. Said properties at the two wavelengths, including calculated derivatives of the optical property with respect to wavelength, can be analyzed to image tissue structures and identify tissue types within the tissue region more accurately than can be achieved based on properties measured at a single wavelength.

Duchenne muscular dystrophy (DMD) is a progressive muscle disease that is caused by severe defects in the dystrophin gene and results in the patient's death by the third decade. The present invention utilizes the Double Mutant mice (DM) as an appropriate human model for DMD as these mice are deficient for both dystrophin and utrophin (mdx/+, utrn −/−), die at 3 months of age and suffer from severe muscle weakness, pronounced growth retardation, kyphosis, weight loss, slack posture, and immobility. Expression from a transgene of novel human retinal dystrophin Dp260 was shown to prevent premature death and reduce the severe muscular dystrophy phenotype to a mild clinical myopathy. Electromyography, histology, radiography, magnetic resonance imaging, and behavior studies concluded that DM transgenic mice grew normally, had normal spinal curvature and mobility, and had reduced muscle pathology. EMG and histologic data from transgenic DM mice showed decreased abnormalities to levels typical of mild myopathy, while the DM mice exhibited severe abnormalities commonly seen in human dystrophinopathies. The transgenic DM mice also had measurable movement levels comparable to those of untreated mdx mice and controls.

A CNN is applied to a histological image to identify areas of interest. The CNN classifies pixels according to relevance classes including one or more classes indicating levels of interest and at least one class indicating lack of interest. The CNN is trained on a training data set including data which has recorded how pathologists have interacted with visualizations of histological images. In the trained CNN, the interest-based pixel classification is used to generate a segmentation mask that defines areas of interest. The mask can be used to indicate where in an image clinically relevant features may be located. Further, it can be used to guide variable data compression of the histological image. Moreover, it can be used to control loading of image data in either a client-server model or within a memory cache policy. Furthermore, a histological image of a tissue sample of a tissue type that has been treated with a test compound is image processed in order to detect areas where toxic reactions to the test compound may have occurred. An autoencoder is trained with a training data set comprising histological images of tissue samples which are of the given tissue type, but which have not been treated with the test compound. The trained autoencoder is applied to detect tissue areas by their deviation from the normal variation seen in that tissue type as learnt by the training process, and so build up a toxicity map of the image. The toxicity map can then be used to direct a toxicological pathologist to examine the areas identified by the autoencoder as lying outside the normal range of heterogeneity for the tissue type. This makes the pathologists review quicker and more reliable. The toxicity map can also be overlayed with the segmentation mask indicating areas of interest. When an area of interest and an area identified as lying outside the normal range of heterogeneity for the tissue type, and increased confidence score is applied to the overlapping area.

In a microtome (1) for producing thin sections for histology, there is a danger of collisions between the sample (9) and the cutting edge (7) in setup mode for coarse feed. It is an object of the invention to limit the collision force of such a collision so that it lies within an admissible range and, therefore, damage is avoided, and the microtome (1) is thereby inherently safe in setup mode. It is also an object of the invention, using the same means, to make available methods that resolve collisions and permit automatic approximation between sample (9) and cutting edge (7). The support force of the associated advancing means (18) acting in the advancing device (12) is limited since the otherwise customary screwing of the associated advancing means (18) on the advancing device (12) is replaced, for example, by a spring mounting or by a connection acting with magnetic force. Thus, when the support force is exceeded in the event of a collision, the associated advancing means (18) lift away from their contact face and experience a displacement (30). The collision force is thus limited to the support force. An additional switching off of the electromotive advancing drive and an associated process for resolving a collision via the electrical control (11) forms the basis of a further method for automatic approximation between sample (9) and cutting edge (7), which is likewise inherently safe by using the same means. The microtome (1) according

Disclosed herein are methods and systems of utilizing sequencing reads for detecting and quantifying the presence of a tissue type or a disease type in cell-free DNA prepared from blood samples.

Certain aspects of the present disclosure provide techniques for automatically detecting and classifying tumor regions in a tissue slide. The method generally includes obtaining a digitized tissue slide from a tissue slide database and determining, based on output from a tissue classification module, a type of tissue of shown in the digitized tissue slide. The method further includes determining, based on output from a tumor classification model for the type of tissue, a region of interest (ROI) of the digitized tissue slide and generating a classified slide showing the ROI of the digitized tissue slide and an estimated diameter of the ROI. The method further includes displaying on an image display unit, the classified slide and user interface (UI) elements enabling a pathologist to enter input related to the classified slide.

An isogenic murine animal model for liver disease resulting from a Western (high fat, high sugar) diet is provided. This phenotypically and genotypically stable model sequentially develops steatosis (4-8 weeks), steatohepatitis (12-16 weeks), progressive fibrosis (16 week onwards) and spontaneous HCC (32-52 weeks), but only when fed a diet high in fat and sugar. The mice also develop obesity, insulin resistance and dyslipidemia, and the mouse hepatic transcriptome is concordant with the human NASH transcriptome at early and late time points, including activation of lipogenic, inflammatory and apoptotic signaling. The mouse HCC gene signature resembles S1 and S2 human HCC subclasses. This simple model of NASH and HCC that mirrors the development of human disease in terms of its triggers, serology, phenotype, histology, transcriptome and outcomes has utility in new target discovery, biomarker discovery, diagnostic test development, and screening and development of drugs for the corresponding liver conditions.

Exemplary system, method and computer-accessible medium for estimating a temperature on a portion of a body of an anatomical structure(s) can be provided, using which it is possible to, for example, receive a plurality of magnetic resonance (MR) images for the anatomical structure(s), segment the MR images into a plurality of tissue types, mapping the tissue types to a tissue property(ies), and estimate the temperature on the portion of the body of the patient(s) using a neural network. The tissue property(ies) can include a conductivity, a permittivity, or a density. The density can be a mass cell density. The neural network can be a single neural network. The temperature can be estimated based on a set of vectors between points on the portion of the body and a temperature sensor. Each vector can correspond to a tissue thermal profile for each point.