9901 results about "Biological system" patented technology

The present invention provides assays and assay systems for use in spatially encoded biological assays. The invention provides an assay system comprising an assay capable of high levels of multiplexing where reagents are provided to a biological sample in defined spatial patterns; instrumentation capable of controlled delivery of reagents according to the spatial patterns; and a decoding scheme providing a readout that is digital in nature.

Provided herein are materials and methods for in situ labeling of a biological sample for use in spatial analysis of one or more analytes in the biological sample. In some aspects, in situ labeling of a biological sample includes labeling the biological sample with one or more spatial barcodes.

Provided herein are methods, compositions, and kits for the spatial analysis of target nucleic acids, or complements thereof, by their 5′ end.

Disclosed herein are methods of amplifying an analyte in a biological sample using a bridging oligonucleotide that hybridizes to a captured analyte. The methods disclosed herein include steps of (a) contacting a biological sample with a substrate having capture probes comprising a capture domain and a spatial barcode; (b) hybridizing the analyte to the capture domain; and (c) contacting the analyte to a bridging oligonucleotide comprising (i) a capture-probe-binding sequence, and (ii) an analyte-binding sequence; (d) extending the bridging oligonucleotide; and (e) determining (i) all or a part of the sequence of the analyte, or a complement thereof, and (ii) the spatial barcode, or a complement thereof, and using the determined sequence of (i) and (ii) to determine the location of the analyte in the biological sample.

The present disclosure provides methods and compositions for detecting and spatially locating analyte interactions and gene expression in a biological sample. For example, provided herein are methods of determining a location of at least one analyte in a biological sample using analyte-binding moieties, proximity ligation, and an array including capture probes.

The present invention provides assays and assay systems for use in spatially encoded biological assays. The invention provides an assay system comprising an assay capable of high levels of multiplexing where reagents are provided to a biological sample in defined spatial patterns; instrumentation capable of controlled delivery of reagents according to the spatial patterns; and a decoding scheme providing a readout that is digital in nature.

The invention discloses a pediatric abnormal breathing detection method and system based on a physiological signal, and relates to the technical field of medical information processing, and the method comprises the steps: collecting a multi-modal physiological signal, employing wavelet decomposition and a soft threshold function to eliminate noise, and outputting a preprocessing signal group in combination with morphological opening and closing operation; calculating a time domain feature, a frequency domain feature and a nonlinear feature of the preprocessed signal group, organizing the features into a three-layer pyramid structure, analyzing time sequence similarity by adopting an attention mechanism, and outputting a fusion feature sequence; and carrying out preliminary anomaly detection on the fused feature sequence, carrying out classification based on an age grouping threshold, extracting context feature vectors of windows before and after an abnormal point, and carrying out secondary discrimination to realize accurate identification and graded early warning of the respiratory anomaly. The respiration monitoring system with high reliability, high adaptability and intelligent learning ability is constructed, and comprehensive technical support is provided for early recognition, real-time early warning and intelligent diagnosis of children respiratory system diseases.

Provided herein are methods of determining a location of a biological analyte in a biological sample.

Provided herein are methods for preparing biological samples for spatial proteomic analysis, methods of determining a location of a protein analyte in a biological sample, and methods of determining a location of a protein analyte and a nucleic acid analyte in a biological sample.

Provided herein are methods using an anisotropic structure within or in proximity to a biological sample. Such methods can include identifying a location of an analyte in a biological sample or reducing mislocalization of an analyte in a biological sample.

The present invention provides assays and assay systems for use in spatially encoded biological assays. The invention provides an assay system comprising an assay capable of high levels of multiplexing where reagents are provided to a biological sample in defined spatial patterns; instrumentation capable of controlled delivery of reagents according to the spatial patterns; and a decoding scheme providing a readout that is digital in nature.

The present invention provides assays and assay systems for use in spatially encoded biological assays. The invention provides an assay system comprising an assay capable of high levels of multiplexing where reagents are provided to a biological sample in defined spatial patterns; instrumentation capable of controlled delivery of reagents according to the spatial patterns; and a decoding scheme providing a readout that is digital in nature.

A system for the hypothermic transport of biological samples, such as tissues, organs, or body fluids. The system includes support systems to permit arrangement of cooling media around a biological sample without potentially damaging direct contact between the cooling media and the biological sample. Systems and methods disclosed herein also include specific configurations, types, and performance characteristics of cooling media such as phase change materials to allow for extended hypothermic storage and transport.

The present invention provides assays and assay systems for use in spatially encoded biological assays. The invention provides an assay system comprising an assay capable of high levels of multiplexing where reagents are provided to a biological sample in defined spatial patterns; instrumentation capable of controlled delivery of reagents according to the spatial patterns; and a decoding scheme providing a readout that is digital in nature.

The present invention provides assays and assay systems for use in spatially encoded biological assays. The invention provides an assay system comprising an assay capable of high levels of multiplexing where reagents are provided to a biological sample in defined spatial patterns; instrumentation capable of controlled delivery of reagents according to the spatial patterns; and a decoding scheme providing a readout that is digital in nature.

The invention provides a multi-source biological signal fusion moxibustion electric control method and system. In the moxibustion applying process, a multi-source biological signal flow is formed by obtaining an epidermal impedance dynamic waveform and a heart rate variability signal, a skin impedance baseline map of a physiological feature parameter library and a heart rate variability association rule are dynamically matched, and an acupoint sensitivity index and a heat tolerance threshold value are generated; triggering an infrared thermal imaging device to scan a moxibustion application area based on the sensitivity index, reconstructing a heat conduction model in combination with the epidermal layer thickness and the acupoint distribution density, comparing an epidermal impedance dynamic waveform with a skin impedance baseline map through a phase offset, and calculating a targeted thermal field compensation gradient of the acupoint area; and finally, coupling the thermal tolerance threshold and the space-time parameters of the target thermal field compensation gradient to generate a control instruction set. According to the technical scheme, accurate regulation and control of thermal field distribution and optimization of the motion path of the mechanical arm in the moxibustion applying process are achieved.

Provided herein are methods of determining a location of a biological analyte in a biological sample.

Provided herein are methods for capturing a connected probe and / or a capture handle sequence to a capture domain of a capture probe.

Provided herein are methods of determining a location of a target analyte in a non-permeabilized biological sample and methods of reducing background binding of an analyte on an array.

Provided herein are methods for capturing an analyte from a first region of interest of a biological sample on a substrate, where the biological sample comprises the first region of interest and a second region, and where the method includes contacting the second region with a sealant in order to create a hydrophobic seal thereby preventing an interaction between an analyte from the second region with a capture domain of a capture probe.

The present invention provides assays and assay systems for use in spatially encoded biological assays. The invention provides an assay system comprising an assay capable of high levels of multiplexing where reagents are provided to a biological sample in defined spatial patterns; instrumentation capable of controlled delivery of reagents according to the spatial patterns; and a decoding scheme providing a readout that is digital in nature.

Provided herein are methods, compositions, and kits for the spatial analysis of target nucleic acids, or complements thereof, by their 5′ end.

The invention provides a circulating tumor cell recognition model training method and system based on deep learning, and the method comprises the steps: obtaining a multi-channel pathological sample image set of circulating tumor cells, carrying out the cross-modal feature extraction of a multi-channel pathological sample image, generating a fusion feature vector containing the morphological features and microenvironment features of the cells, and carrying out the recognition of the circulating tumor cells through the fusion feature vector. A deep convolutional network with a multi-stage training strategy is constructed, network parameters of the deep convolutional network in the training process are verified and adjusted by adopting a hierarchical cross validation mechanism, and finally a final recognition model is generated based on the verified and adjusted network parameters. The final recognition model is configured to receive the clinical pathology image stream and output localization coordinates and classification confidence of circulating tumor cells. According to the method, a circulating tumor cell recognition result can conform to a cell space distribution rule and has clinical pathological diagnosis interpretability, and the problems of high false positive rate and insufficient cell subtype discrimination caused by neglecting of microenvironment interaction in a traditional method are solved.

This disclosure relates to compositions and methods for analyzing a tissue section from a biological sample.

The present disclosure relates to systems, devices, and methods for automated cell sorting within a cell processing system. In an embodiment, the present disclosure relates to an automated cell sorting system comprising a cartridge having a cell sorting module, where the cell sorting module comprises a flow cell, and an instrument within a bay of a cell processing workcell, where the instrument comprises a magnetic array couplable to the flow cell, each of the magnets within the magnetic array having a width of w and being spaced apart by between about w / 3 to about 3 / 4w, and wherein the flow cell has a height of between about 1 / 12w to about 1 / 8w.