125 results about "Biological objects" patented technology

The invention discloses a multi-scene internet of things off-site dynamic inspection self-adaptive monitoring system, and relates to the technical field of intelligent inspection and path planning, the system is composed of a plurality of functional modules, and the system comprises a moving object detection module for detecting a moving object by adopting a Gaussian mixture background modeling and optical flow method; meanwhile, a light-weight MobileViT-XXS model is deployed, and a moving object target is tracked; the moving object classification and identification module is used for judging the type of a moving object through a multi-modal classification decision tree: when the moving object is judged to be a non-living body, carrying out ROI extraction and optimal frame interception on the image saliency of the moving object, and generating EXIF metadata through super-resolution reconstruction; when the judgment result is a biological object, biological category judgment is carried out: when the judgment result is an animal, geo-fencing data matching is carried out, and a spatial-temporal feature fusion model is adopted; and when human beings are judged, face quality evaluation is carried out through multi-frame fusion super-resolution.

One or more devices, systems, methods, and storage mediums for performing robotic control and / or using force and / or force difference determination(s) to estimate / determine exerted force by using wire force information are provided herein. Examples include, but are not limited to, use with a continuum robot or catheter having at least one independently manipulatable, bendable section for advancement through a passage, without contacting fragile element(s) within the passage, where one or more driving wires of the catheter have force(s) and / or force difference(s) to be determined / estimated. Examples of applications include imaging, evaluating, and diagnosing biological objects, such as, but not limited to, for bronchial or other medical applications. Techniques provided herein also improve processing, imaging, and catheter control efficiency while achieving images that are more precise, and also achieve devices, systems, methods, and storage mediums that reduce mental and physical burden and improve ease of use.

Examples of such autonomous navigation, movement detection, and / or control include, but are not limited to, autonomous navigation of one or more portions of a continuum robot towards a particular target, movement detection of the continuum robot, Follow-The-Leader smoothing, and / or state change(s) for a continuum robot. Examples of applications include imaging, evaluating, and diagnosing biological objects, such as, but not limited to, for gastro-intestinal, cardio, bronchial, and / or ophthalmic applications, and being obtained via one or more optical instruments, such as, but not limited to, optical probes, catheters, endoscopes, and bronchoscopes. Techniques provided herein also improve processing and imaging efficiency while achieving images that are more precise, and also achieve devices, systems, methods, and storage mediums that reduce mental and physical burden and improve ease of use.

The invention discloses an identification method and device based on a biological image identification model, equipment and a medium, and generally relates to the technical field of computers. The method comprises the following steps: performing biological object calibration segmentation processing on a target biological image through a segmentation model to obtain a target biological feature which is used for representing a to-be-identified biological object in the target biological image; performing abnormal factor detection on the target biological characteristics through a detection model to obtain an abnormal detection result of the to-be-identified biological object; the anomaly detection result comprises whether the to-be-identified biological object has an abnormal factor or not; the abnormal factors comprise at least one of the abnormal size of the biological object, the abnormal form of the biological object and the abnormal absorption characteristic of the biological object to ray energy; and performing property judgment on the abnormal factors of the target biological characteristics through a characteristic judgment model to obtain the properties of the abnormal factors. The training cost is greatly saved while the training effect is ensured.

Implementations of the present disclosure generally relate to medical aspiration devices and their methods of use. In some cases, the devices are configured to create a vacuum to capture and / or immobilize a solid deposit at a location internal to a subject. Such configurations may be useful, for example, for removing intact kidney stones small enough to pass through the ureter. In some cases, the devices further include an ablation instrument. Such devices may be useful, for example, for ablating larger solid deposits into a plurality of smaller particles at a location internal to the subject (e.g., ablating kidney stones that are too large to pass through the ureter). In some cases, the vacuum created by the devices is used to remove the plurality of smaller particles from the location internal to the subject.

Implementations of the present disclosure generally relate to medical aspiration devices and their methods of use. In some cases, the devices are configured to create a vacuum to capture and / or immobilize a solid deposit at a location internal to a subject. Such configurations may be useful, for example, for removing intact kidney stones small enough to pass through the ureter. In some cases, the devices further include an ablation instrument. Such devices may be useful, for example, for ablating larger solid deposits into a plurality of smaller particles at a location internal to the subject (e.g., ablating kidney stones that are too large to pass through the ureter). In some cases, the vacuum created by the devices is used to remove the plurality of smaller particles from the location internal to the subject.

One or more devices, systems, methods and storage mediums for performing intravascular imaging and / or optical coherence tomography (OCT) while detecting and / or characterizing one or more tissues are provided. Examples of applications include imaging, evaluating and diagnosing biological objects, such as, but not limited to, for Gastro-intestinal, cardio and / or ophthalmic applications, and being obtained via one or more optical instruments, such as, but not limited to, optical probes, catheters, capsules and needles (e.g., a biopsy needle). Preferably, the intravascular imaging devices, systems methods and storage mediums include or involve a method, such as, but not limited to, using one image, such as a carpet view, to detect and / or characterize the one or more tissues and / or to perform coregistration. Examples of identified or detected tissues include calcium, lipids, and other types of tissue.

Techniques described herein pertain to automated systems and methods for analyzing, storing, and / or retrieving information associated with biological objects including lymphocytes. In some embodiments, a shape metric is derived for each detected and segmented lymphocyte and the shape metric is stored along with other relevant data.

One or more devices, systems, methods, and storage mediums for performing robotic control and / or for manufacturing and / or using a catheter having a tip are provided herein. Examples of such control, catheter manufacturing and use include, but are not limited to, correction of one or more sections or portions of a continuum robot as the continuum robot is moved. Examples of applications include imaging, evaluating, and diagnosing biological objects, such as, but not limited to, for bronchial or other medical applications, and being obtained via one or more optical instruments, such as, but not limited to, optical probes, catheters, endoscopes, and bronchoscopes. Techniques provided herein also improve processing, imaging, and catheter control efficiency while achieving images that are more precise, and also achieve devices, systems, methods, and storage mediums that reduce mental and physical burden and improve ease of use.

Segmenting method, for carrying out 3D segmentation of a sample, the sample comprising at least one biological object, the sample developing over time, such that at least one biological object divides or changes shape or position over time, the method comprising:at various times, acquiring a stack of images (P(t)) of the sample;segmenting images, such as to obtain masks corresponding to each biological object;implementing a segmentation algorithm that is said to be prompted, such as to use masks obtained, for an object, in an image, to define masks, for the same object, in another image.

The invention relates to a microfluidic component used for electrical impedance measurement through a biological object (O), said microfluidic component comprising: A support in which is made a main microfluidic channel (C_1) defining a path for the circulation of a fluid containing the biological object (O), A trapping device positioned in the main microfluidic channel (C_1) on the circulation path of said biological object, At least one first electrode and a second electrode intended to be each set at a distinct electrical potential, in order to perform said impedance measurement, Said trapping device being composed of at least one first central pillar (P_1) and a second central pillar (P_2) positioned inside the microfluidic channel, The first central pillar being configured to form the first electrode and the second central pillar being configured to form the second electrode.Figure to be published with the abbreviation: Figure 2.

A biological object image-capturing and treatment system includes a micro detection and treatment device, and an AI model. The micro detection and treatment device includes a plurality of signal transmitting and receiving elements, wherein one of the signal transmitting and receiving elements continuously transmits a stimulation signal with different parameter values to a particular target, and one of the signal transmitting and receiving elements continuously receives response signal from the particular target. The AI model uses the response signals to perform machine learning, and outputs a parameter value adjustment suggestion to the micro detection and treatment device according to result of the machine learning. The micro detection and treatment device adjusts the parameter value of the stimulation signal according to the parameter value adjustment suggestion.

Disclosed herein are viewing systems configured for viewing an image of a biological object illuminated with light and a viewing device (e.g., loupes, glasses, etc.) and methods for operation thereof. The viewing device comprises a plurality of viewing modes: a white light mode, a fluorescent light mode, and an overlay mode, and a shutter that opens and closes in accordance with the viewing mode. An overlay image is an image of the biological object when the biological object is illuminated with both white light and fluorescent light, causing the overlay image to be an overlay of the white light image and the fluorescent light image. The disclosed systems and methods allow a user (e.g., a surgeon, medical staff, etc.) to preserve the ergonomics offered by eyewear while providing fluorescent viewing capabilities, particularly with visible fluorescent dyes.

One or more devices, systems, methods, and storage mediums for performing navigation planning, autonomous navigation, movement detection, and / or control for a continuum robot are provided herein. Examples of such planning, autonomous navigation, movement detection, and / or control include, but are not limited to, navigation planning and / or autonomous navigation of one or more portions of a continuum robot towards a particular target, movement detection of the continuum robot, Follow-The-Leader smoothing, and / or state change(s) for a continuum robot. Examples of applications include imaging, evaluating, and diagnosing biological objects, such as, but not limited to, for Gastro-intestinal, cardio, bronchial, and / or ophthalmic applications, and being obtained via one or more optical instruments, such as, but not limited to, optical probes, catheters, endoscopes, and bronchoscopes. Techniques provided herein also improve processing and imaging efficiency while achieving images that are more precise, and also achieve reduced mental and physical burden and improved ease of use.

One or more computing devices, systems and / or methods are provided. In an example, one or more images may be received. A biological object segmentation model may analyze the one or more images to generate a biological object map indicative of regions, of the specimen, including biological objects. Sets of features associated with the biological objects may be determined based upon the biological object map. Scores associated with the biological objects may be determined. One or more target regions of the specimen may be determined based upon the scores.

Provided is the processing of a large-scale colored image dataset by efficiently performing image analysis, processing, and manipulation based on adaptive particle representation (APR). 【Solution means】The analysis of large-scale biological objects and tissue samples is performed with a calculation speed 100 times or more faster and an excellent memory storage compression ratio. The embodiment is extremely suitable for large-scale imaging projects of large three-dimensional transparent tissue samples such as whole-brain mapping initiatives and human nerve tissue pathology. The data store holds an adaptive sampling representation for tiles, individual tile positions, and other corresponding image data for the biological object of interest. By reading out a tile from the data store only once, a complete image of the maximum resolution of the biological object is output as an image.

The vessels of a biological object are to be segmented more reliably. To this end, a method for training a machine learning algorithm to segment such vessels is proposed. First, a 3D reconstruction (8) of the vessels is provided. A starting vessel region (7) is identified in the 3D reconstruction (8). Sub-regions representing a starting vessel segment are extracted from the starting vessel region (7). The algorithm is trained using these extracted sub-regions. Subsequently, the trained algorithm is applied to a first neighboring region (10) immediately adjacent to the starting vessel region (7). This identifies a first vessel segment in the first neighboring region (10). Finally, the algorithm is retrained using the first vessel segment identified in the first neighboring region (10).

Implementations of the present disclosure generally relate to medical aspiration devices and their methods of use. In some cases, the devices are configured to create a vacuum to capture and / or immobilize a solid deposit at a location internal to a subject. Such configurations may be useful, for example, for removing intact kidney stones small enough to pass through the ureter. In some cases, the devices further include an ablation instrument. Such devices may be useful, for example, for ablating larger solid deposits into a plurality of smaller particles at a location internal to the subject (e.g., ablating kidney stones that are too large to pass through the ureter). In some cases, the vacuum created by the devices is used to remove the plurality of smaller particles from the location internal to the subject.

One or more devices, systems, methods and storage mediums for performing medical procedure (e.g., needle guidance, ablation, biopsy, etc.) planning and / or performance, and / or for performing registration using at least one mask, are provided. Examples of applications for such devices, systems, methods and storage mediums include imaging, evaluating and diagnosing biological objects, such as, but not limited to, lesions and tumors, and such devices, systems, methods and storage mediums may be used for radiotherapy applications (e.g., to determine whether to place seed(s) for radiotherapy). The devices, systems, methods and storage mediums provide improved registration results by utilizing at least one mask to suppress one or more artifacts or objects (which may or may not include, but is not limited to, at least one medical instrument or tool) in an image including a portion of the medical guidance device and / or to enhance a region or target of interest in the image.

The present invention relates to means for cooling biological objects and their long-term storage, particularly methods for freezing food products. A method comprises generating by stages a sequence of EMF pulses of a rectangular shape with a frequency range from 0.1 Hz to 100 kHz and other desirable parameters using an EMF source. EMF pulses are controlled and adjusted depending on temperature and humidity in a handling space. A system comprises a frame, a control unit, and a power supply unit.

The present disclosure is directed, among other things, to automated systems and methods for analyzing, storing, and / or retrieving information associated with biological objects having irregular shapes. In some embodiments, the systems and methods partition an input image into a plurality of sub-regions based on localized colors, textures, and / or intensities in the input image, wherein each sub-region represents biologically meaningful data.

The invention relates to a microfluidic component used for electrical impedance measurement through a biological object (O), said microfluidic component comprising: - A support in which is made a main microfluidic channel (C_1) defining a path for the circulation of a fluid containing the biological object (O), - A trapping device positioned in the main microfluidic channel (C_1) on the circulation path of said biological object, - At least one first electrode and a second electrode intended to be each brought to a distinct electrical potential, in order to perform said impedance measurement, - Said trapping device being composed of at least one first central pillar (P_1) and a second central pillar (P_2) positioned inside the microfluidic channel, - The first central pillar being configured to form the first electrode and the second central pillar being configured to form the second electrode.

Implementations of the present disclosure generally relate to medical aspiration devices and their methods of use. In some cases, the devices are configured to create a vacuum to capture and / or immobilize a solid deposit at a location internal to a subject. Such configurations may be useful, for example, for removing intact kidney stones small enough to pass through the ureter. In some cases, the devices further include an ablation instrument. Such devices may be useful, for example, for ablating larger solid deposits into a plurality of smaller particles at a location internal to the subject (e.g., ablating kidney stones that are too large to pass through the ureter). In some cases, the vacuum created by the devices is used to remove the plurality of smaller particles from the location internal to the subject.

Embodiments of the present disclosure generally relate to medical aspiration devices and methods of use thereof. In some cases, the devices are configured to generate a vacuum to capture and / or immobilize solid deposits at a location within a subject. Such configurations can be useful, for example, for removing intact kidney stones that are small enough to pass through a ureter. In some cases, the devices further include ablation instruments. Such devices can be useful, for example, for ablating larger solid deposits into a plurality of smaller particles at a location within a subject (e.g., ablating a kidney stone that is too large to pass through a ureter). In some cases, the vacuum generated by the devices is used to remove the plurality of smaller particles from the location within the subject.

One or more devices, systems, methods and storage mediums for performing intravascular imaging and / or optical coherence tomography (OCT) while detecting and / or characterizing one or more tissues are provided. Examples of applications include imaging, evaluating and diagnosing biological objects, such as, but not limited to, for Gastro-intestinal, cardio and / or ophthalmic applications, and being obtained via one or more optical instruments, such as, but not limited to, optical probes, catheters, capsules and needles (e.g., a biopsy needle). Preferably, the intravascular imaging devices, systems methods and storage mediums include or involve a method, such as, but not limited to, using one image, such as a carpet view, to detect and / or characterize the one or more tissues and / or to perform coregistration. Examples of identified or detected tissues include calcium, lipids, and other types of tissue.

This application provides a method and electronic device for determining the attribute information of a heavy ion beam compensator. The compensator is used to adjust the deviation of the heavy ion beam's range when entering a biological object. The method includes: acquiring image information of the biological object, wherein the image information includes a first region and a second region, the first region being a region inside the biological object in an abnormal state, and the second region being a region inside the biological object in a normal state, the second region being located within the surrounding area of ​​the first region; determining first state information of the first region, second state information of the second region, and determining a target energy value of the heavy ion beam based on the image information, wherein the target energy value is used to ensure that the heavy ion beam successfully reaches the first region; and determining the attribute information of the compensator based on the target energy value, the first state information, and the second state information. This application solves the technical problem of the inability to effectively determine the attribute information of the compensator.

The invention discloses an organ lesion detection method and device, a processor and a program product. The method comprises the following steps: acquiring an organ image of a to-be-diagnosed organ in a target biological object; identifying the organ image to obtain an identification result; in response to the identification result that the organ image is a target image, based on the organ image, determining a density region in an abnormal state on the to-be-diagnosed organ and the shape of the density region, the organ in the target image being a diseased organ; based on the density area and the shape, a lesion result of the organ to be diagnosed is determined, and the lesion result is used for representing the lesion degree of the organ to be diagnosed. The technical problem of low image recognition efficiency is solved.

The invention relates to a method for analyzing a biological object (O), implemented within a microfluidic perfusion system, said system comprising a microfluidic component (1) integrating a microfluidic circuit (10), said microfluidic circuit having: A main channel provided with a hydrodynamic trap (P_H) receiving said biological object (O) to be perfused, A microfluidic inlet channel (100) connected to the main channel upstream of the hydrodynamic trap (P_H), A microfluidic outlet channel (101) connected to the main channel downstream of the hydrodynamic trap (P_H), A first valve (V1) positioned on the microfluidic inlet channel (100), A pump system formed by a series composed of at least a second valve (V2) and a third valve (V3) positioned on the microfluidic outlet channel (101). Figure to be published with the abstract: Figure 1

A system and a method for analyzing a map of a part of a biological object acquire a first map of the part at a first time point and a second map of the part at a different, second time point. The first and second maps are used as input to a trained main machine learning algorithm that outputs a change mask M_changes highlighting or showing longitudinal changes between the first and second maps and / or a segmentation of at least one of said first and second maps. The segmentation of the first map results in a first segmentation mask M1 and the segmentation of the second map results in a second segmentation mask M2. The main ML algorithm has been trained for optimizing, notably maximizing, a compatibility between M1, M2, and the change mask M_changes. The output of the trained ML algorithm is provided via an interface.