Abstract: The present disclosure provides a homogeneous detection method for continuous detection of a miRNA by a metal-organic framework (MOF)-based nanozyme. The method includes the following steps: step 1, conducting a duplex-specific nuclease (DSN)-assisted signal amplification strategy: in order to form a hairpin structure, heating a hairpin DNA to 95° C. for 5 min, and then slowly cooling to a room temperature; and step 2, conducting a flow analysis: conducting the flow analysis on a target using a flow injection-batch method, and recording a differential pulse voltammetry (DPV) response of a biosensor in a batch mode; in a flow mode, introducing a DSN-assisted signal amplification product into an analytical unit, and conducting incubation at 30° C. to 40° C.

Abstract: The method and system disclosed herein presents a method and system for capturing, by a camera moving in an environment, a sequence of consecutive frames at respective locations within a portion of the environment; constructing a topological semantic graph corresponding to the portion of the environment based on the sequence of consecutive frames; in accordance with a determination that the topological semantic graph includes at least a predefined number of edges: searching, in a topological semantic map of the environment, one or more candidate topological semantic graphs corresponding to the first topological semantic graph; for a respective candidate topological semantic graph of the one or more candidate topological semantic graphs, searching, in a joint semantic and feature localization map, a keyframe corresponding to the respective candidate topological semantic graph; and computing a current pose of the camera based on the keyframe.

Abstract: The present invention discloses a filtering device used for removing impurities in a mixture of biological diatomite, which relates to the technical field of sewage treatment. This device includes a plurality of deflectors evenly distributed in multiple layers in the vertical direction. Each deflector includes a shell and a top plate. There is a filter unit symmetrically arranged on the left and right sides of each deflector. The top of the shell is covered with a top plate hinged with the depressed plate. The bottom of the shell is provided with water inlets which communicate with the shunt pipe, and the upper parts of the left and right side walls of the shell are provided with overflow ports. The shell also has a plurality of diversion folding plates located below the overflow ports and vertically staggered and distributed on the left and right side walls. The filter unit includes an inclined water guiding groove and a filtering plate.

Abstract: A system and a method for unveiling poorly visible or lightly colored nuclei in an input image are disclosed. An input image is fed to a color deconvolution module for deconvolution into two color channels that are processed separately before being combined. The input image is deconvolved into two separate images: a stain image and a counter stain image. A complement of the stain image is generated in order to clearly reflect the locations of the poorly visible or light-colored nuclei. The complement image and the counter stain image are optionally normalized and then combined and segmented, to generate an output image with clearly defined nuclei. Alternatively, the complement of the stain image and the counter stain image can optionally be normalized, and then segmented prior to being combined to generate the output image.

Abstract: The present invention discloses a filtering device used for removing impurities in a mixture of biological diatomite, which relates to the technical field of sewage treatment. This device includes a plurality of deflectors evenly distributed in multiple layers in the vertical direction. Each deflector includes a shell and a top plate. There is a filter unit symmetrically arranged on the left and right sides of each deflector. The top of the shell is covered with a top plate hinged with the depressed plate. The bottom of the shell is provided with water inlets which communicate with the shunt pipe, and the upper parts of the left and right side walls of the shell are provided with overflow ports. The shell also has a plurality of diversion folding plates located below the overflow ports and vertically staggered and distributed on the left and right side walls. The filter unit includes an inclined water guiding groove and a filtering plate.

Abstract: A system and a method for unveiling poorly visible or lightly colored nuclei in an input image are disclosed. An input image is fed to a color deconvolution module for deconvolution into two color channels that are processed separately before being combined. The input image is deconvolved into two separate images: a stain image and a counter stain image. A complement of the stain image is generated in order to clearly reflect the locations of the poorly visible or light-colored nuclei. The complement image and the counter stain image are optionally normalized and then combined and segmented, to generate an output image with clearly defined nuclei. Alternatively, the complement of the stain image and the counter stain image can optionally be normalized, and then segmented prior to being combined to generate the output image.

Abstract: Systems and methods of improving segmentation and classification in multi-channel images of biological specimens are described herein. Image channels may be arranged and processed sequentially, with the first image channel being processed from an unmodified image, and subsequent images processed from attenuated images that remove features of previous segmentations. For each segmented image channel in sequence, a binary image mask of the image channel may be created. A distance transform image may be computed from the binary mask. Attenuation images computed for all previous channels may be combined with a current attenuation image to create a combined attenuation image. The next image channel in the sequence may then be attenuated to produce an attenuated next image channel, which may then be segmented. The steps can be repeated until all image channels have been segmented.

Abstract: Systems and methods for generating a locally adaptive threshold image for foreground detection performing operations including creating a saliency edge strength image or layer indicating edge or border pixels of the nuclei by performing tensor voting on pixels neighboring the initial edge pixels within an image region to refine true edges are featured. Further, for each of a plurality of regions or blocks of the image, an adaptive threshold image is determined by sampling a foreground pixel and a background pixel for each initial edge pixel or refined edge pixel, generating histograms for both background and foreground saliency (or gradient magnitude) modulated histograms, determining a threshold range for each block of the image, and interpolating the threshold at each pixel based on the threshold range at each block. Comparing the input image with the resulting locally adaptive threshold image enables extraction of significantly improved foreground.

Abstract: Systems and methods of improving segmentation and classification in multi-channel images of biological specimens are described herein. Image channels may be arranged and processed sequentially, with the first image channel being processed from an unmodified image, and subsequent images processed from attenuated images that remove features of previous segmentations. For each segmented image channel in sequence, a binary image mask of the image channel may be created. A distance transform image may be computed from the binary mask. Attenuation images computed for all previous channels may be combined with a current attenuation image to create a combined attenuation image. The next image channel in the sequence may then be attenuated to produce an attenuated next image channel, which may then be segmented. The steps can be repeated until all image channels have been segmented.

Abstract: A method for automated microscopic analysis wherein the test protocol is obtained from interrogatable data affixed to each microscope slide. The method further comprises the algorithms that implement the test protocol.

Abstract: Systems and methods for generating a locally adaptive threshold image for foreground detection performing operations including creating a saliency edge strength image or layer indicating edge or border pixels of the nuclei by performing tensor voting on pixels neighboring the initial edge pixels within an image region to refine true edges are featured. Further, for each of a plurality of regions or blocks of the image, an adaptive threshold image is determined by sampling a foreground pixel and a background pixel for each initial edge pixel or refined edge pixel, generating histograms for both background and foreground saliency (or gradient magnitude) modulated histograms, determining a threshold range for each block of the image, and interpolating the threshold at each pixel based on the threshold range at each block. Comparing the input image with the resulting locally adaptive threshold image enables extraction of significantly improved foreground.

Abstract: A method for automated microscopic analysis wherein the test protocol is obtained from interrogatable data affixed to each microscope slide. The method further comprises the algorithms that implement the test protocol.

Abstract: A method for automated microscopic analysis wherein the test protocol is obtained from interrogatable data affixed to each microscope slide. The method further comprises the algorithms that implement the test protocol.

Abstract: In various embodiments methods for automated screening for gene amplification in biological tissue samples using an automated fluorescence microscope to analyze fluorescence in situ hybridized samples are provided. Various additional embodiments provide methods of high throughput screening for gene amplification.

Abstract: A method for automated microscopic analysis wherein the test protocol is obtained from interrogatable data affixed to each microscope slide. The method further comprises the algorithms that implement the test protocol.

Abstract: An automated, highly sensitive, specific and potentially quantitative detection method using an automated microscope for identifying and enumerating rare cancer cells in blood and other fluids.

Abstract: An automated, highly sensitive, specific and potentially quantitative detection method using an automated microscope for identifying and enumerating rare cancer cells in blood and other fluids.

Abstract: An automated, highly sensitive, specific and potentially quantitative detection method using an automated microscope for identifying and enumerating rare cancer cells in blood and other fluids.

Abstract: An embodiment is disclosed for performing the image processing for analyzing the results of a fluorescence in situ hybridization (FISH) microscopic automated sample analysis to determine specific chromosomal characteristics.

Abstract: An embodiment is disclosed for performing the image processing for analyzing the results of a fluorescence in situ hybridization (FISH) microscopic automated sample analysis to determine specific chromosomal characteristics.