48 results about "Biological objects" patented technology

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.

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 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.

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.

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.

The invention discloses a data processing method, a processor and a program product. The method comprises the steps that product attribute information of a target biological object is collected, and the product attribute information is used for representing a biological product category; based on the product attribute information, initial identification information of the target organism is generated, and the initial identification information is used for identifying the target organism; performing encryption processing on the initial identification information to obtain target identification information; and uploading the target identification information to the block chain. The technical problem that the full-link credible traceability ecology in the block chain cannot be constructed is solved.

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.

The invention discloses a method and device for protecting a biological object in a vehicle, electronic equipment and a storage medium. The method comprises the following steps: under the condition that a vehicle is in a parking locking state, acquiring an occupying detection result of an occupying sensor corresponding to at least one seat and an original image acquired by an image sensor corresponding to at least one seat; determining a target detection result based on the occupation detection result and the original image; when the target detection result is that the biological object exists in the corresponding position of at least one seat, identifying the original image, and determining an object type corresponding to the biological object; a target protection strategy corresponding to the object type is executed, and the target protection strategy is used for representing execution of the protection strategy on the biological object. According to the invention, the technical problem of low accuracy and timeliness of detection and protection of the biological object left in the vehicle in the prior art is solved.

This disclosure provides a method and storage medium for calculating aging rate, relating to the field of biological data analysis technology. The method includes: modeling the complex nonlinear relationship between the actual age, biomarkers, and mortality risk of a biological object using a mortality risk prediction model constructed based on a neural network; obtaining a mortality risk function for the target biological object through the determined mortality risk prediction model, and extracting an aging rate index with clear biological significance from the mortality risk function; and mapping the target aging rate to biological age through an age-aging relationship function, thereby accurately reflecting the degree of aging of the target biological object.

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.

The application discloses an interface display method and device, equipment and medium, and relates to the field of human-computer interaction. The method comprises the following steps: displaying an information stream interface of a first user account, the information stream interface comprising first social content sent by at least one recommended account, at least one biological object being displayed in the display area of the first social content; in response to an interactive operation on the first social content, displaying a multimedia broken frame element of a target biological object in the at least one biological object in the information stream interface, the multimedia broken frame element being used for showing the visual image of the target biological object, and the display position of part or all of the display content of the multimedia broken frame element exceeding the coverage range corresponding to the display area of the first social content; and in response to a trigger operation on the multimedia broken frame element, displaying an information display interface associated with the target biological object.

The invention provides a skeletal animation generation method, system and device, electronic equipment, a computer readable storage medium and a computer program product. The skeletal animation generation method comprises the steps that hand data, collected by first collection equipment, of a biological object and body data, collected by second collection equipment, of the biological object are obtained; generating a first hand skeletal animation of the biological object based on the hand data, and generating a body skeletal animation of the biological object based on the body data; fusing the first hand skeletal animation with the body skeletal animation to obtain a target body skeletal animation of the biological object; wherein the hand skeletal animation in the target body skeletal animation is obtained based on the generated hand skeletal animation. In this way, the accuracy and meticulous performance of the hand skeleton animation can be improved when the body skeleton animation is generated.

Device (100) for examining microscope samples (102) comprising a biological object (104) to be examined under the microscope and a sample holder (106) holding the object (104), wherein the device (100) comprises a light microscope (130) for generating at least one digital image (114) of at least one part of the object (104) and wherein the device (100) is designed, to analyze the content of the images using a machine learning model or a machine learning algorithm, to use at least one optical marker (112) as a position reference (108) which is assigned a unique position identifier on the sample carrier, wherein the optical marker is a single cell, a tissue structure or a cell structure, to determine the position of structures of the object relative to at least one optical marker serving as a position reference; wherein the light microscope (130) is designed as a laser microdissection microscope (134).

Disclosed herein is a system and method for quantitative detection and analysis of molecular binding kinetics of a substance with surface membrane proteins of a biological object, such as a live cell, based on detecting and tracking membrane fluctuation amplitude changes caused by membrane displacement associated with the binding of the substance with the surface membrane proteins. The molecular binding kinetics can be detected with high precision in real time from an optical image of the biological object with a differential detection method.

One or more devices, systems, methods and storage mediums for performing calibration (ex vivo and / or in vivo), sheath detection, and / or 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 involve calibration and / or sheath detection feature(s) and / or include or involve a method, such as, but not limited to, using one or more images to detect and / or characterize the one or more tissues and / or to perform coregistration. Calibrated (ex vivo and / or in vivo) catheters or probes, devices, or systems may be used for improved imaging.

The embodiment of the invention relates to the technical field of biological identity recognition, in particular to a biological identity recognition method and system and computer equipment. The method mainly comprises the steps of performing foreground extraction on an obtained initial image of a to-be-recognized organism to obtain a foreground image corresponding to a target area in the initial image, performing feature enhancement processing on the foreground image to obtain a feature-enhanced target foreground image, performing similarity comparison on the target foreground image and a plurality of sample images, and obtaining a feature-enhanced target foreground image; and determining target identity information of the to-be-recognized organism corresponding to the target foreground image. By adopting the method, the accuracy of biological identity recognition can be improved.

Methods for the encoding an encryption key for secure storage are disclosed. The methods rely on the use of unclonable, one-way functions, such as images of biological objects that may be measured according to challenges to result in responses. A biometric print of a biological object is measured with a set of n challenges resulting in n responses. The responses are an ordered sequence, with each response having a fixed position in the sequence. A key is generated of bit length n. A subset of m responses in the full set of n responses is selected, where the selected responses correspond to positions of 1s in the key. The response subset is stored. The key is then used, and deleted. A party wishing to re-generate the key generates the same set of challenges, measures the same biological object with the challenges a second time, and generates a second set of n responses. Responses in the stored subset of m responses will match responses in the second set of n responses at certain positions in second set of n responses. These matching positions correspond to 1s in the key. The non-matching positions correspond to 0s. Thus, comparison between the response sets recovers the key.

Systems and methods relate to processing digital pathology images. More specifically, depictions of objects of a first class (e.g., lymphocytes) and depictions of objects of a second class (e.g., tumor cells) are detected. Locations of each biological object depiction are identified, which are used to generate multiple spatial-distribution metrics that characterize where depictions of objects of a first class are located relative to objects of a second class. The spatial-distribution metrics are used to generate a result corresponding to a predicted biological state of or a potential treatment of a subject. For example, the result may predict whether and / or an extent to which lymphocytes have infiltrated a tumor, whether checkpoint blockade therapy would be an effective treatment for the subject, and / or whether a subject is eligible for a clinical trial.

The invention relates to a method for monitoring a biological object (O) placed in a microfluidic component (OOC), implemented using a monitoring system that includes a sensor (SENS), the monitoring method comprising: A calibration step of the sensor (SENS), A first step of perfusion of the biological object (O) to generate reference measurement data using the sensor, A second step of perfusion of the biological object by injection of a first perfusion solution (P1) into the microfluidic component (OOC), said first perfusion solution (P1) taking a second state after passing through the biological object (O), said first perfusion solution (P1) in its second state being injected into said sensor (SENS) to generate second measurement data using the sensor, A differential measurement step by the sensor (SENS), by comparison of the reference measurement data with the second measurement data.Figure to be published with the abbreviation: Figure 1.

A method of electroporation of a biological object, comprises: introducing a carrier particle into a medium containing the biological object; applying a first electric field to the medium to induce trapping of the biological object by the carrier particle; and varying at least one parameter of the first electric field so as to induce electroporation of the biological object.

A biological detection device that achieves high precision and miniaturization is provided. The biological detection device includes: a light-emitting unit that emits first light; a first reflective unit that reflects the first light toward a biological object to be detected; a light-receiving unit that receives second light reflected by the biological object from the incident first light; a detection unit that detects biological information of the biological object based on the second light; and a first substrate disposed between the light-emitting unit and the light-receiving unit for blocking the first light. The light-emitting unit is disposed between the light-receiving unit and the first reflective unit.

Methods for the generation and use of session keys for authentication of a user of a server device are disclosed. The methods use a biological objects of the user to generate responses to challenges. During enrollment, the server device receives a password, hashes it a first number of times, and sends the hash to the user. The user interprets the hash as a set of challenges for the biological object, applies the challenges, and stores the responses. During authentication, the server hashes the password a second number of times, less than the first number, and sends the hash to the user. The user iteratively applies second hash to the biological object, compares the responses to the stored responses, and if there is not a match, hashes the challenges again until there is a match. The number of hashes needed for a match is a session key or subkey.

Systems and methods relate to processing digital pathology images. More specifically, depictions of objects of a first class (e.g., lymphocytes) and depictions of objects of a second class (e.g., tumor cells) are detected. Locations of each biological object depiction are identified, which are used to generate multiple spatial-distribution metrics that characterize where depictions of objects of a first class are located relative to objects of a second class. The spatial-distribution metrics are used to generate a result corresponding to a predicted biological state of or a potential treatment of a subject. For example, the result may predict whether and / or an extent to which lymphocytes have infiltrated a tumor, whether checkpoint blockade therapy would be an effective treatment for the subject, and / or whether a subject is eligible for a clinical trial.

A process for magnetically sorting biological objects includes the steps of applying a magnetic field generated by a magnetic assembly to a flexible conduit; flowing a sample fluid containing magnetically labeled biological objects through the flexible conduit to collect the magnetically labeled biological objects on a conduit wall; removing the magnetic field from the flexible conduit; and mechanically deforming the flexible conduit to loosen the magnetically labeled biological objects collected on the conduit wall.

Methods for the encoding an encryption key for secure storage are disclosed. The methods rely on the use of unclonable, one-way functions, such as images of biological objects that may be measured according to challenges to result in responses. A biometric print of a biological object is measured with a set of n challenges resulting in n responses. The responses are an ordered sequence, with each response having a fixed position in the sequence. A key is generated of bit length n. A subset of m responses in the full set of n responses is selected, where the selected responses correspond to positions of is in the key. The response subset is stored. The key is then used, and deleted. A party wishing to re-generate the key generates the same set of challenges, measures the same biological object with the challenges a second time, and generates a second set of n responses. Responses in the stored subset of m responses will match responses in the second set of n responses at certain positions in second set of n responses. These matching positions correspond to 1s in the key. The non-matching positions correspond to 0s. Thus, comparison between the response sets recovers the key.