33 results about "Serial section" patented technology

We disclose quantitative geometrical analysis enabling the measurement of several features of images of tissues including perimeter, area, and other metrics. Automation of feature extraction creates a high throughput capability that enables analysis of serial sections for more accurate measurement of tissue dimensions. Measurement results are input into a relational database where they can be statistically analyzed and compared across studies. As part of the integrated process, results are also imprinted on the images themselves to facilitate auditing of the results. The analysis is fast, repeatable and accurate while allowing the pathologist to control the measurement process.

The invention provides systems and methods for detection, grading, scoring and tele-screening of cancerous lesions. A complete scheme for automated quantitative analysis and assessment of human and animal tissue images of several types of cancers is presented. Various aspects of the invention are directed to the detection, grading, prediction and staging of prostate cancer on serial sections / slides of prostate core images, or biopsy images. Accordingly, the invention includes a variety of sub-systems, which could be used separately or in conjunction to automatically grade cancerous regions. Each system utilizes a different approach with a different feature set. For instance, in the quantitative analysis, textural-based and morphology-based features may be extracted at image- and (or) object-levels from regions of interest. Additionally, the invention provides sub-systems and methods for accurate detection and mapping of disease in whole slide digitized images by extracting new features through integration of one or more of the above-mentioned classification systems. The invention also addresses the modeling, qualitative analysis and assessment of 3-D histopathology images which assist pathologists in visualization, evaluation and diagnosis of diseased tissue. Moreover, the invention includes systems and methods for the development of a tele-screening system in which the proposed computer-aided diagnosis (CAD) systems. In some embodiments, novel methods for image analysis (including edge detection, color mapping characterization and others) are provided for use prior to feature extraction in the proposed CAD systems.

The invention discloses a method for establishing a network model based on a serial section image, belonging to the technical field of image processing and relating to a method for establishing a network model of characteristics of porous medium (rock) containing liquid such as underground crude oil, natural gas, underground water, and the like. The method is characterized in that a group of serial bidimensional section images inside a microcosmic model are processed so as to divide rock granules and pore spaces; on the basis of reconstructing three-dimensional images for the pore spaces, size distribution and topology information of pores and throats is extracted to finally establish a network model, therefore, image information is converted into the size distribution and topology information of the pores and throats in a three-dimensional space. The invention provides the method for establishing the network model based on section images of actual porous medium, has strong pertinence and high practicability, and can be effectively used for description and digital management of actual rock pore spaces and seepage characteristic thereof.

The subject disclosure presents systems and computer-implemented methods for providing reliable risk stratification for early-stage cancer patients by predicting a recurrence risk of the patient and to categorize the patient into a high or low risk group. A series of slides depicting serial sections of cancerous tissue are automatically analyzed by a digital pathology system, a score for the sections is calculated, and a Cox proportional hazards regression model is used to stratify the patient into a low or high risk group. The Cox proportional hazards regression model may be used to determine a whole-slide scoring algorithm based on training data comprising survival data for a plurality of patients and their respective tissue sections. The coefficients may differ based on different types of image analysis operations applied to either whole-tumor regions or specified regions within a slide.

The invention discloses a real-time intelligent monitoring method based on natural video. The method uses the knowledge of computer image processing and artificial intelligence and realizes unmanned intelligent monitoring and alarm to the action of pedestrian in public places and important sensitive places. Firstly, video frame serial sections which need to be studied are extracted, movable historical images are obtained, which reflect the movement process of the people; on this base, the user-defined method for extracting the eigenvector is used, vector representation of the specific movement series is obtained, and the vector sample is stored in the sample database; as for the video frame serial which need to be monitored, the eigenvector and sample data are mapped in the low dimensional space, the corresponding classification by the optimized method is obtained and alarm is carried out. Owing to the sample study mechanism and the classification mechanism of the designed actions in the text, the method of the invention improves the accuracy of identification and strengthens the expansibility of identification; by designing the eigenvector representation and extraction method of movement serial of the people, the completeness and accuracy of action representation are strengthened.

The invention discloses a digital human serial section image segmentation method based on geometric active contour target tracking, comprising the following steps: 1) inputting a first layer digital human serial section image which includes a target to be segmented; 2) initializing the target contour by intelligent scissors; 3) generating a target contour matching score image; 4) smoothening the target contour matching score image generated in step 3); 5) using a self-adopting geometric active contour model tracking to obtain the target contour of current layer; and 6) storing the target contour segmentation result of current layer, simultaneously taking the result as an initial target contour of next layer and returning to step 3) to continue the target tracking to obtain subsequent target contour. The digital human serial section image segmentation method can accurately and robustly segment the target contour of the digital human serial section image and simultaneously has the advantages of high automation level and processing of topology change of the target contour.

A sample configured to be cut to form a set of serial sections. The sample includes a sample block; at least one tissue sample substantially embedded in the sample block; and a least one control-marker core substantially embedded in the sample block and having a select shape as viewed from an end of the control-marker core, wherein each serial section includes a cross section of the tissue sample and a cross section of the control-marker core, each cross section of the tissue sample is referred to as the tissue section and each cross section of the control-marker core is referred to as the control marker, and wherein each control marker has the select shape.

Computerized techniques are provided for linking digitized images of serial sections of a biological tissue sample. Linked, digitized images of the serial section are displayed on a display and manipulation of one digitized image causes other digitized images to be similarly manipulated. To link digitized images, a copy of a digitized image of one serial section is positioned over a digitized image of another serial section. The digitized image of the other serial section is visible through the copy. The transparency of the copy is changed to effect change of the visualization of the digitized image of the other serial section. The copy is registered to the digitized image of the other serial section.

The invention discloses a preparation method and an application of a tissue slice for observing temporal-spatial distribution of early embryo development in vivo. The preparation method comprises the following steps that 4% paraformaldehyde fixing, upward gradient ethanol dehydration, wax dipping, embedding, serial section, baking, dewaxing and downward gradient ethanol rehydration are performed in sequence on oviducts or uterine tissues which contain mice embryos in every period, and finally, after haematoxylin-eosin staining is performed on the tissues in the slice, neutral gum is used for sealing the slice, or after immunofluorescence histochemical staining is performed on the slice, a fluorescence resistant quenching sealing agent is used for sealing the slice. The tissue slice disclosed by the invention can be used for manufacturing a map of early mice embryo development and detecting the expression of Crb3 in the mice embryos in every period of development in vivo. The preparation method has the advantages that positions of all organs in the embryos can be relatively fixed, so that the position change of embryo cells in a genital tract and the continuity of embryo development can be conveniently observed, the structure is clear, and the tissue slice is convenient to store.

The invention relates to a treatment method of potato type non-grain starch fuel ethanol distiller solution. The method comprises the following steps: waste distiller solution is pretreated simply and adjusted by an adjusting tank and then enters an anaerobic treatment system, wherein the first-stage anaerobic treatment adopts well mixed high temperature anaerobic fermentation and the second-stage anaerobic treatment adopts a medium temperature UASB anaerobic reactor; different microorganisms are utilized to degrade the organic pollutants in the wastewater and generate biogas; a cooling device, a setting tank and an air flotation device are arranged between the two anaerobic reactors to ensure the concentration of the well mixed high temperature anaerobic sludge; the two-stage anaerobic effluent enter two serial sections of oxidation ditches to further remove the organic matter; different denitrification technologies are selected according to ammonia nitrogen indexes to obtain stable denitrification effect; and finally flocculation precipitation and physicochemical treatment are performed, and the obtained water meets the standards and is discharged. The method of the invention has low cost, stable technology and high biogas extraction efficiency of wastewater; and the obtained sludge is used as organic fertilizer and the effluent meet the grade A standard of the integrated wastewater discharge standard (GB8978-1996) for the alcohol industry.

The invention discloses an entire orthoptera insect serial section pretreatment method, comprising the following steps: 1, freezing the orthoptera insect, fixing the insect in Bouin's fixative, removing feet, puncturing, and then placing the insect in the Bouin's fixative, and fixing the insect through negative pressure pumping; 2, carrying out gradient dehydration treatment under the conditions of negative pressure pumping; 3, carrying out transparency treatment under the conditions of negative pressure pumping; and 4, carrying out paraffin infiltration treatment with paraffin. The pretreatment method carries out negative pressure pumping in the fixation, dehydration and paraffin invasion processes, and can improve the treatment efficiency and enables the processes to be more thorough; the method optimizes the paraffin invasion time and enables the paraffin to be invaded in to each part of the orthoptera insect body, and also eliminates the complicated step of specially softening the tegument of the insect. The method can be used to obtain complete serial sections and has good effect and high repeatability, which is suitable for entire orthoptera insect serial sections.

Described herein are computer-implemented methods for analysis of a tissue sample. An example method includes: annotating the whole tumor regions or set of tumorous sub-regions either on a biomarker image or an H&E image (e.g. from an adjacent serial section of the biomarker image); registering at least a portion of the biomarker image to the H&E image; detecting different cellular and regional tissue structures within the registered H&E image; computing a probability map based on the different detected structures within the registered H&E image; deriving nuclear metrics from each of the biomarker and H&E images; deriving probability metrics from the probability map; and classifying tumor nuclei in the biomarker image based on the computed nuclear and probability metrics.

We disclose quantitative geometrical analysis enabling the measurement of several features of images of tissues including perimeter, area, and other metrics. Automation of feature extraction creates a high throughput capability that enables analysis of serial sections for more accurate measurement of tissue dimensions. Measurement results are input into a relational database where they can be statistically analyzed and compared across studies. As part of the integrated process, results are also imprinted on the images themselves to facilitate auditing of the results. The analysis is fast, repeatable and accurate while allowing the pathologist to control the measurement process.

The invention relates to a DNA molecular weight standard with an even 200 bp gradient and a rapid preparation method thereof. A super plasmid is constructed by a brand-new genetic engineering method; the DNA molecular weight standard with the even 200 bp gradient is prepared by methods of bacillus coli fermentation and restricted enzyme digestion and is a restricted enzyme digestion mixture comprising seven DNA bands with the lengths of 400 bp, 600 bp, 800 bp, 1000 bp, 14000 bp, 2000 bp and 3000 bp, and the densities (masses) of the seven DNA bands have a certain proportional relation of 2:3:4:5:7:10:15. The rapid preparation method of the DNA molecular weight standard with the even 200 bp gradient comprises the following steps: enabling the seven DNA bands to use a plasmid pYE 9600 as an enzyme digestion object, extracting a target plasmid pYE9600 by methods of bacillus coli fermentation and alkaline lysis, purifying the target plasmid pYE9600 and using a restricted enzyme EcoRI for enzyme digestion so as to release 200 bp serial sections contained in the target plasmid pYE9600.

The invention relates to the field of image processing and neurosciences, specifically relates to an image registration method and device based on mitochondrion structure, a storage medium and equipment and aims at solving a technical problem that electron microscopic section image registration precision of nervous tissue is low. For this purpose, the method comprises the steps: electron microscopic serial section images of a nervous tissue is acquired, mitochondrial region detection is performed on the acquired electron microscopic serial section image, according to detected feature points of the mitochondrial region, correspondences between the section images are matched, according to the matched correspondences, image deforming is performed on the electron microscopic serial section images, and the image registration is completed. In addition, the image registration device, the storage medium and equipment in the invention can execute steps in the above image registration method. According to the technical scheme of the invention, the precision of the nervous tissue electron microscopic serial section image registration can be improved, and mismatching in the image registration process can be avoided.

The present invention relates to a geologic body automatic analysis method based on a three-dimensional stratum model. The method comprises the steps: S1: arranging a geologic body attribute value threshold on an attribute profile; S2: automatically extracting a geologic body slice contour; S3: making the triangular mesh of the contour line to generate a geologic body envelope surface; and S4: calculating the area and the size of a geologic body object. The geologic body automatic analysis method based on a three-dimensional stratum model provided by the invention generates the triangle meshing through automatic serial section enveloping scanning to obtain geologic body object data and description parameters such as the area, the volume and the like.

The invention discloses a serial section image incremental compression storage method based on a three-dimensional model. The serial section image incremental compression storage method comprises thesteps that an original image storage space is established; a blank binary file is generated on the original image storage space; a first image is stored on the original image storage space to serve asa reference for subsequent images; as for the subsequent images, the previous image is adopted for incremental processing, and the two images are directly subjected to XOR operation; as for a generated difference image, a sparse matrix compressing and storing method is adopted for compressing; and byte contents generated after secondary compression are counted, four bytes are used in the binary file to store the total number of bytes, then contents of the binary file are filled with the compressed byte contents, the above steps are repeated for the next image, and a separated binary compressed file is generated. According to the method, consideration is given to section image continuity, and therefore the higher compression ratio is achieved compared with a traditional single image compression algorithm.

A virtual technical building block software development tool and a software development interface that speed accurate and quality software design are provided. The tools develop enterprise software architecture designs, and utilize a library of symbols and a virtual template. The library of symbols includes service oriented architecture symbols and enterprise application integration symbols. The template includes multiple sections to be displayed on a computing device screen. Each section includes a blank space bounded by a frame, and all of the sections are vertically aligned with one another to guide design flow. The sections of the template include, from top to bottom vertically, (1) a technical capabilities section; (2) an interaction sequence section; (3) a service topology section; (4) an integration flow section; and (5) a logging section. The technical building block software development tool streamlines software development and significantly reduces implementation and design time, and ensures reproducible quality of design.

The invention relates to a detachable support, which comprises horizontal support, upright support, serial section bars, connection section bars, and back support. Wherein, the upper support or the first clamper at the horizontal support is matched to the second clamper of connection section bar, to enlarge the volume of invention, adjust the installment types and adjust the number of frame unit. The invention has flexible enlarge function, without loading whole weight. And when enlarging, only need to select the elements in same standard, and the former horizontal support, upright support, and serial section bars can be recycled.

The invention discloses a cone beam CT (computed tomography) fast reconstruction method based on a rectangular bounding box. The method comprises the following steps of: carrying out cone beam CT circular scanning on a test piece, acquiring a set of projection images and cutting the projection images into a set of square projection images with the side length of E pixels; calculating the size of the rectangular bounding box of the test piece in a reconstruction space, and respectively calculating logarithm images of the square projection images; carrying out filtering treatment in an FDK (Feldkamp) algorithm on the logarithm images; distributing a single-precision floating-point memory space from a computer according to the size of the rectangular bounding box, and carrying out cone beam CT reconstruction calculation by adopting a single-instruction multi-data technology according to a Z-line prior reconstruction algorithm; and storing a reconstruction result as serial section images on the X direction, the Y direction or the Z direction according to a coordinate system thereof. The invention effectively improves the reconstruction speed of the cone beam CT and reduces the requirements of the reconstruction algorithm on the memory size.

The invention discloses a porcelain bushing type direct current field PLC / RI capacitor. The capacitor comprises a pedestal and a high-voltage electric porcelain bushing which is vertically fixed on the pedestal, wherein a plurality of capacitor elements which are immersed in a liquid insulating medium and connected with each other in series are arranged in the high-voltage electric porcelain bushing; the plurality of capacitor elements which are connected in series are averagely divided into several serial sections with as many capacitor elements as each other; each serial section is connected with a resistor with the same resistance in parallel; the upper end of the high-voltage electric porcelain bushing is provided with a sealing cover which is provided with an external oil-filled expander; the upper end of the external oil-filled expander is provided with a sealing cover and a high-voltage wiring board; and the lower end of the pedestal is provided with a low-voltage connecting terminal. A porcelain bushing type structure is adopted by the porcelain bushing type direct current field PLC / RI capacitor of the invention, namely the high-voltage electric porcelain bushing is adopted as a product shell, and the high-voltage electric porcelain bushing is also used as a supporting insulator, so that the cost for additionally arranging the supporting insulator is saved. By rational space arrangement, the area occupied by the entire capacitor is greatly reduced.

A process of producing transgenic plants or plant cells stably transformed on a chromosome with a DNA sequence of interest and capable of expressing a function of interest from said DNA sequence of interest, said process comprising (a) providing plant cells or plants with at least two different vectors, whereby (i) said at least two different vectors are adapted to recombine with each other by site-specific recombination in said plant cells for producing a non-replicating recombination product containing said DNA sequence of interest, (ii) said at least two different vectors are adapted for integrating said DNA sequence of interest into said chromosome, (iii) said DNA sequence of interest contains sequence portions from at least two of said at least two different vectors, said sequence portions being necessary for expressing said function of interest from said DNA sequence of interest; and (b) selecting plants or plant cells expressing said function of interest.

The invention discloses a real-time intelligent monitoring method based on natural video. The method uses the knowledge of computer image processing and artificial intelligence and realizes unmanned intelligent monitoring and alarm to the action of pedestrian in public places and important sensitive places. Firstly, video frame serial sections which need to be studied are extracted, movable historical images are obtained, which reflect the movement process of the people; on this base, the user-defined method for extracting the eigenvector is used, vector representation of the specific movement series is obtained, and the vector sample is stored in the sample database; as for the video frame serial which need to be monitored, the eigenvector and sample data are mapped in the low dimensional space, the corresponding classification by the optimized method is obtained and alarm is carried out. Owing to the sample study mechanism and the classification mechanism of the designed actions in the text, the method of the invention improves the accuracy of identification and strengthens the expansibility of identification; by designing the eigenvector representation and extraction method of movement serial of the people, the completeness and accuracy of action representation are strengthened.

The invention relates to a precise positioning and material taking method of adult rat atrionector. According to the method, the rat atrionector is macroscopically positioned in the proximal part wall of the precava and extends into a junctional zone of the right atrium and the precava, and after the right precava is marked by a body suturing knotting method, the rat heart is taken down along the far end of the precava. The invention also relates to a naked eye precise positioning method of the serial section of the adult rat atrionector. The atrionector subjected to material taking is subjected to the serial section after the fixation, the position and the form of the atrionector on the precava wall is simultaneously observed in the section process through naked eyes, and the atrionector is precisely positioned.

The invention aims to provide a two-pass three-dimensional region growing and morphology combination-based lung airway tree segmentation algorithm for solving the problem to realize effective segmentation of a lung airway tree. The two-pass region growing and morphological reconstruction combination-based lung airway tree segmentation method provided by the invention comprises the following steps of automatically obtaining a seed point P1 of three-dimensional region growing from a serial section image; performing first-pass region growing by taking P1 as the seed point to obtain a lung main airway tree; setting a multi-scale morphological operator, and obtaining corresponding airway marking graphs in three anatomic positions of a cross section, a coronal plane and a sagittal plane by utilizing gray-scale morphological reconstruction operation; performing second-pass region growing by taking the lung main airway tree as a basis and the airway marking graphs in the three anatomic positions as limitation conditions to obtain corresponding segmented airway trees; and fusing the segmented airway trees to obtain a final lung airway tree segmentation result F.