4506 results about "Image system" patented technology

A method of self-testing an imaging system of a sample handling apparatus is provided. Systems and non-transitory computer readable mediums performing the method are also provided.

A sample holder includes a first member featuring a first retaining mechanism configured to retain a first substrate that includes a sample, a second member featuring a second retaining mechanism configured to retain a second substrate that includes a reagent medium, and an alignment mechanism connected to at least one of the first and second members, and configured to align the first and second members such that the sample contacts at least a portion of the reagent medium when the first and second members are aligned.

A sample holder includes a first member featuring a first retaining mechanism configured to retain a first substrate that includes a sample, a second member featuring a second retaining mechanism configured to retain a second substrate that includes a reagent medium, and an alignment mechanism connected to at least one of the first and second members, and configured to align the first and second members such that the sample contacts at least a portion of the reagent medium when the first and second members are aligned.

A sample holder includes a first member featuring a first retaining mechanism configured to retain a first substrate that includes a sample, a second member featuring a second retaining mechanism configured to retain a second substrate that includes a reagent medium, and an alignment mechanism connected to at least one of the first and second members, and configured to align the first and second members such that the sample contacts at least a portion of the reagent medium when the first and second members are aligned.

A method of self-testing an imaging system of a sample handling apparatus is provided. Systems and non-transitory computer readable mediums performing the method are also provided.

Systems and methods are disclosed for determining individual-specific blood flow characteristics. One method includes acquiring, for each of a plurality of individuals, individual-specific anatomic data and blood flow characteristics of at least part of the individual's vascular system; executing a machine learning algorithm on the individual-specific anatomic data and blood flow characteristics for each of the plurality of individuals; relating, based on the executed machine learning algorithm, each individual's individual-specific anatomic data to functional estimates of blood flow characteristics; acquiring, for an individual and individual-specific anatomic data of at least part of the individual's vascular system; and for at least one point in the individual's individual-specific anatomic data, determining a blood flow characteristic of the individual, using relations from the step of relating individual-specific anatomic data to functional estimates of blood flow characteristics.

The invention discloses a generation and evaluation method for acquiring long text description from a laparoscopic surgery image, which comprises the following steps of: constructing a cue word containing the laparoscopic surgery image, short text description, a target bounding box and surgery knowledge, and constructing long text description data by utilizing a large language model based on the cue word; constructing an image long text description generation model which comprises a pre-trained visual encoder, a visual feature query converter, a language decoder and an external operation concept vector database; performing supervised training on the image long text description generation model by using the long text description data; constructing a long text description evaluation method to evaluate the trained model; the method comprises the following steps: acquiring an input laparoscope image video stream through a laparoscope image system, and screening a key frame as a to-be-processed image; and inputting a to-be-processed image into the trained and evaluated model to obtain an image long text description result. According to the method, the ability of understanding operation details in the image can be enhanced, and more comprehensive operation image description can be generated.

An unmanned aerial vehicle (UAV) is disclosed that includes a retractable payload delivery system. The payload delivery system can lower a payload to the ground using a delivery device that secures the payload during descent and releases the payload upon reaching the ground. The location of the delivery device can be determined as it is lowered to the ground using image tracking. The UAV can include an imaging system that captures image data of the suspended delivery device and identifies image coordinates of the delivery device, and the image coordinates can then be mapped to a location. The UAV may also be configured to account for any deviations from a planned path of descent in real time to effect accurate delivery locations of released payloads.

Systems and methods for training a neural radiance field model for noisy scenes can leverage raw noisy images in linear high dynamic range color space to train a neural radiance field model to generate view synthesis of low light and / or high contrast scenes. The trained model can then be utilized to accurately complete view rendering tasks without the preprocessing used for generating low dynamic range images. In some implementations, training on unprocessed data of a low light scene can allow for training a neural radiance field model to generate high quality view renderings of a low light scene.

A multispectral light field imaging system includes a primary lens, a microlens array, a first relay lens, a dichroic lens, a second relay lens, a third relay lens, a first image sensor, a first filter, a second image sensor and a second filter, wherein the microlens array is located at an image plane of the primary lens; the first relay lens together with the second relay lens and the third relay lens forms a 1:1 relay lens group imaging system on a spectral band 1 light path and a spectral band 2 light path respectively; the dichroic lens forms an included angle of 45° with a light axis; the first image sensor is located at a focal plane of the second relay lens, and the second image sensor is located at a focal plane of the third relay lens.

A sample holder includes a first member featuring a first retaining mechanism configured to retain a first substrate that includes a sample, a second member featuring a second retaining mechanism configured to retain a second substrate that includes a reagent medium, and an alignment mechanism connected to at least one of the first and second members, and configured to align the first and second members such that the sample contacts at least a portion of the reagent medium when the first and second members are aligned.

Systems and methods for generating geolocation-based images for a target object are provided. A geolocation module receives a set of geolocations associated with a geographic region of interest. Each geolocation of the set of geolocations is mapped to context data associated with the geolocation. A prompt generation module generates multiple prompts based on the set of geolocations and the context data. The prompt generation module comprises a first generative artificial intelligence (AI) model. An image generation module generates multiple synthetic images based on the multiple prompts. The image generation module comprises a second generative AI model. Each synthetic image depicts the target object in a background generated based on a prompt.

Systems and methods are provided for image guided surgery. Such systems and methods receive a model of an anatomical structure as well as a model of an object, and process a projection image generated by an imaging device from an imaging direction, wherein the projection image includes at least a part of the anatomical structure and at least a part of the object. Based on (i) the projection image, (ii) the imaging direction, (iii) the model of the object, and (iv) the model of the anatomical structure, the systems and methods determine a spatial position and orientation of the object relative to a space of movement. The space of movement may be defined in relation to the anatomical structure.

Systems and methods are disclosed for evaluating a patient with vascular disease. One method includes receiving patient-specific data regarding a geometry of the patient's vasculature; creating an anatomic model representing at least a portion of a location of disease in the patient's vasculature based on the received patient-specific data; identifying one or more changes in geometry of the anatomic model based on a modeled progression or regression of disease at the location; calculating one or more values of a blood flow characteristic within the patient's vasculature using a computational model based on the identified one or more changes in geometry of the anatomic model; and generating an electronic graphical display of a relationship between the one or more values of the calculated blood flow characteristic and the identified one or more changes in geometry of the anatomic model.

A low-parallax multi-camera imaging system may enable combination of images from multiple camera channels into a panoramic image. In some examples, the imaging system may be designed to include small areas of overlap between adjacent camera channels. Panoramic images may be generated by compositing image data from multiple camera channels by using techniques described herein. In some examples, contribution of each camera channel may be weighted based on factors such as distances relative to an overlap region or content within the overlap region.

The invention relates to a Kubernetes cluster automatic deployment system based on modularization, and the system comprises a modularized cluster mirror image system which is used for providing a mirror image containing all assemblies of cluster operation and the optimal practice configuration of each assembly, and is used for flexibly customizing the assembly combination of a cluster according to different demands, and rapidly generating a customized cluster mirror image, the standardization of the delivery of the Kubernetes cluster is realized; the automatic deployment engine is used for defining a topological structure and configuration parameters of the cluster by adopting a declarative API (Application Program Interface), completing full-life-cycle automatic management through an architecture mode of a controller, and providing a monitoring alarm function which is ready to use after box opening; the application management system is used for providing application store based on Web, templated application configuration management and application real-time monitoring management; and the multi-tenant management system is used for providing resource isolation management, tenant authority management and security isolation management. According to the invention, the complexity of cluster deployment and management is greatly reduced, and the application efficiency and reliability of the cloud native technology are improved.

A method for generating and updating a three-dimensional representation of a surgical site based on imaging data from an imaging system is disclosed. The method comprises the steps of generating a first image of the surgical site based on structured electromagnetic radiation emitted from the imaging system, receiving a second image of the surgical site, aligning the first image and the second image, generating a three-dimensional representation of the surgical site based on the first image and the second image as aligned, displaying the three-dimensional representation on a display screen, receiving a user selection to manipulate the three-dimensional representation, and updating the three-dimensional representation as displayed on the display screen from a first state to a second state according to the received user selection.

A radiation imaging system comprises a radiation detector having a plurality of pixels for detecting radiation arrayed in a matrix, a plurality of detecting pixels arranged in a region in which the plurality of pixels are arrayed in the matrix and configured to output a signal corresponding to an amount of irradiation with the radiation; and a processing unit. The processing unit receives weighting information associated with a region of interest in an imaging range and generates determination information for controlling irradiation with the radiation by applying the weighting information to the corresponding signal.

An end effector state estimation system for use in minimally invasive surgery (MIS) applications performs sensing and prediction algorithms to determine and visualize the state of an implantable therapeutic device during deployment. The end effector state estimation system includes a flexible elongate member, a therapeutic device coupled to a distal portion of the flexible elongate member, a sensor that measures at least one parameter related to the deployment state of the therapeutic device, and a processor. The processor receives image data from an imaging system representative of the therapeutic device positioned within the body cavity of the patient and the at least one parameter from the sensor, determines the deployment state of the therapeutic device based on the image data and the at least one parameter, outputs a graphical representation of the deployment state of the therapeutic device.

A method for automated, artificial-intelligence-based COC retrieval includes using an artificial intelligence / machine learning system (AI / ML system) to optically scan a follicular fluid sample to produce an image object using an imaging system that includes a microscopy system, a camera system, and a lighting system. The method includes comparing the image object to a predetermined threshold using an AI / ML system, wherein the predetermined threshold is at least in part an optical pattern with a probability of corresponding to a cumulus-oocyte-complex (COC). The method includes identifying a COC within the follicular fluid sample based at least in part on the image object satisfying the predetermined threshold. The method includes determining a COC location within the follicular fluid sample based at least in part on identifying a region of the image object corresponding to an optical pattern within the image object that satisfies the predetermined threshold.

A handheld endoscope has a disposable, single-use portion that includes a distal tip, cannula, housings, and a proximal port that is connected to a substantially straight working channel. The cannula is rotatable about the main longitudinal axis of the cannula. The endoscope also includes a re-usable portion that has a handle and display module. The single-use and re-usable portions mate and un-mate with each other via physical side-mounting arrangement as well as separate electrical connectors. The handle can house imaging system electronics that support manual and auto imaging modes which can be selected via touch screen control on the display module. The re-useable portion is sealed with various o-rings and / or gaskets and can be highly fluid resistant to facilitate disinfecting and / or sterilization.

An imaging system includes a color imaging sensor that acquires a color image having a color image resolution and color image field of view, a grayscale imaging sensor that acquires a grayscale image having a grayscale image resolution and grayscale image field of view, wherein the grayscale image field of view is at least partially within the color image field of view, and the grayscale image resolution is greater than the color image resolution with respect to the color image field of view, and a first processor that generates an output image by obtaining the color image and the grayscale image, determining a color image region of interest (ROI), bounded by a color image ROI boundary box within the color image, such that the color image ROI includes the subject, and determining a grayscale image ROI, bounded by a grayscale image ROI boundary box within the grayscale image.

A system, method, and apparatus for displaying a fused reconstructed image with a multidimensional image are disclosed. An example imaging system receives a selection corresponding to a portion of a displayed multidimensional visualization of a surgical site. At the selected portion of the multidimensional visualization, the imaging system displays a portion of a three-dimensional image which corresponds to the selected multidimensional visualization such that the displayed portion of the at least one of the three-dimensional image or model is fused with the displayed multidimensional visualization.

A system for collecting data for training a computer vision model for shape estimation includes: an imaging system configured to capture one or more images; and a processing system including a processor and memory storing instructions that, when executed by the processor, cause the processor to: receive one or more input images from the imaging system; estimate a pose of an object depicted in the one or more images; render a shape estimate from a 3-D model of the object posed in accordance with the pose of the object; and generate a data point of a training dataset, the data point including one or more images based on the one or more input images and a label corresponding to the one or more images, the label including the shape estimate.

Systems and methods are described for calculating an emission rate of a fugitive gas based on a gas density image of the fugitive gas. In an example, a computing device receives a gas density image of a fugitive gas from a camera. The computing device determines how to optimize the fugitive gas in the camera's field of view and instructions the camera to adjust its bearing and zoom accordingly. The camera captures one or more additional images of the fugitive gas, and the computing device stitches the images together where appropriate. The computing device then calculates the emission rate by delineating the fugitive gas in the image and determining a flux of the gas using one of various calculation methods.

The invention provides a three-dimensional automatic focusing method and device based on multi-modal data fusion and Kalman filtering and a readable storage medium, and high-precision real-time focusing is realized through multiple steps: collecting sample three-dimensional phase information and different focal plane image data by using a phase and image sensor, and calculating phase depth and definition; constructing a multi-plane Kalman filtering cluster, modeling the focus state of each focal plane, and predicting the focus by fusing the neighborhood coupling influence; the focus state is updated and corrected in combination with the image definition and the phase gradient, and the optimal three-dimensional focus position is determined by means of a collaborative optimization decision maker; dynamically adjusting the noise matrix and the coupling coefficient, and controlling the objective lens to complete focusing. According to the method, through multi-modal fusion and multi-plane cooperation, the problems of focus drifting and jumping are effectively solved, the focusing precision and stability of an imaging system in a complex sample and a dynamic environment are remarkably improved, and the method is suitable for equipment such as a biomedical full-automatic microscope and a digital pathological section scanner.

A sample holder includes a first member featuring a first retaining mechanism configured to retain a first substrate that includes a sample, a second member featuring a second retaining mechanism configured to retain a second substrate that includes a reagent medium, and an alignment mechanism connected to at least one of the first and second members, and configured to align the first and second members such that the sample contacts at least a portion of the reagent medium when the first and second members are aligned.

The invention relates to the technical field of plant phenotype image processing, and particularly discloses a colloid culture plant root system three-dimensional characteristic quantification method and device, which are used for solving the problem that rapid and lossless three-dimensional observation and accurate analysis on a plant root system are difficult to realize by the existing traditional root system measurement tool and measurement method. The method comprises the following steps: culturing a plant root system under a colloid medium, acquiring a plant root system image, pre-processing the plant root system image, performing three-dimensional reconstruction on the plant root system based on SFM and NeRF algorithms, automatically extracting plant root system characteristics based on a three-dimensional reconstruction model, and integrating an optical calibration tank device into an imaging system. The optical refraction of the curved surface of the glass culture bottle can be effectively corrected, a three-dimensional point cloud is reconstructed in combination with a high-precision three-dimensional reconstruction algorithm, lossless in-situ measurement is realized, the dynamic growth process of a root system is captured, and the morphology and distribution characteristics of the root system are analyzed.

Imaging systems and techniques are described. In some examples, an imaging system generates a segmentation map of an image by processing image data associated with the image using a segmentation mapper. Different object types in the image are categorized into different regions in the segmentation map. The imaging system generates an augmented segmentation map by processing at least the segmentation map using a segmentation map error correction engine. The imaging system generates processed image data by processing the image using the augmented segmentation map.

A system for optical interrogation of tissue samples, the system including: a microtome configured to section one or more tissue sections from a tissue block, the one or more tissue sections including one or more tissue samples; a transfer medium configured to gather the one or more tissue sections and to transfer the one or more tissue sections to one or more slides; and an optical interrogation system including an illumination system configured to illuminate the one or more tissue sections and an imaging system configured to perform an imaging analysis on the one or more tissue sections illuminated with the illumination system.