49 results about "Imaging technique" patented technology

The invention discloses a coagulant addition control method and system based on visual identification of dynamic change of floc, and the method comprises the steps: collecting image data of a flocculation process in a water body in real time, and carrying out the image enhancement processing, so as to obtain a clear particle distribution image; identifying the size and quantity characteristics of floc particles through an image analysis technology, and determining the average diameter and density value of the particles in the current flocculation stage; calculating the deviation between the current floc state deviation and a preset standard value, and obtaining a preliminary adding adjustment coefficient matched with the current floc state deviation; combining with water body flow data monitored in real time to obtain an optimized adding amount for the current working condition; and generating a control instruction to adjust the input acceleration or stroke of the pump adding equipment, and continuously monitoring the updated floc image to verify the adjustment effect. According to the method, the floc state can be identified on line through an image technology, the adding amount is accurately calculated in combination with historical experience and real-time flow, and closed-loop optimization control over the intrinsic nature of the coagulation process is achieved.

The invention discloses a large-view-field and high-temporal-spatial-resolution transmission electron microscope in-situ imaging method for a microcosmic electrochemical process, which comprises the following steps: step 1, loading an electrode material particle sample to be detected on a carrying table, inserting the sample into a transmission electron microscope vacuum lens cone along with a sample rod, identifying a target sample under low magnification, and carrying out basic adjustment on an electron microscope; 2, adjusting magnification times to ensure that an observation area is completely incorporated into an imaging view field, selecting an imaging mode, eliminating astigmatism, and adjusting the focal length of an objective lens until a sample particle image interface is clear; and step 3, selecting a CCD camera, setting an acquisition frame rate, and performing ultrafast acquisition of images or videos. The transmission electron microscope in-situ imaging technology giving consideration to both the large view field and the high space-time resolution has practical application value in research of the electrochemical reaction kinetics process of the granular material.

Surgical visualization can compensate for partially captured images that are obscured, incomplete, damaged, or interfered by replacing those portions of the image with corresponding portions of other images. The other images can include images previously generated by the surgical visualization system or images generated using multispectral imaging techniques. The present disclosure relates to a surgical imaging system comprising a multispectral electromagnetic radiation (EMR) source configured to emit EMR at a first wavelength range and a second wavelength range, an image sensor configured to sense the EMR emitted from a target site at each of the first wavelength range and the second wavelength range, and a control circuit configured to generate a first image of the target site from the EMR emitted at the first wavelength range, generate a second image of the target site from light emitted at the second wavelength range, determine whether the first image is at least partially occluded, and generate a fused image containing a fusion between unoccluded segments of the first image and segments of the second image corresponding to occluded segments of the first image. Alternatively, the control circuit is configured to generate an image of the target site from the emitted EMR, determine whether the image is at least partially occluded, retrieve a previous image of the target site, and generate a fused image containing a fusion between unoccluded segments of the image and segments of the image corresponding to occluded segments of the previous image.

The application claims a kind of neonatal brain imaging system and method based on photoacoustic technology, belong to the field of medical devices. Including control module, excitation source module, neonatal brain photoacoustic data acquisition module, data output module and quantitative calculation module. The control module includes two computers and laser control instrument;The excitation source module includes high-frequency laser and its water cooling system;Neonatal brain photoacoustic data acquisition module contains focusing lens and optical fiber, wearable flexible ultrasonic transducer, multichannel acquisition card;The data output module contains computer matched with real-time imaging MarsonicsDAQ software and the imaging algorithm embedded in the software;Quantitative calculation module contains multispectral linear demixing algorithm and imaging software. The application provides high-resolution, high-contrast real-time imaging of neonatal brain tissue structure and cerebral hemodynamic parameters, which can be used as a complementary method to existing brain imaging techniques for auxiliary diagnosis.

The invention discloses a spectrometer optical path structure based on photoacoustic composite film thickness detection, a mechanical device and an adjustment method thereof, and relates to the technical field of optical coherence tomography. The light path structure comprises a collimating lens group used for collimating an incident light beam into parallel light; the reflecting element is obliquely arranged and is used for reflecting the collimated light beam; and the grating element is used for splitting the reflected light beam. An achromatic collimating lens group, a high-diffraction-efficiency body phase holographic grating and a glass material with an extremely low dispersion coefficient are used as focusing lenses to build a light path structure, through precise optical design, the RMS radius of a light spot with a single wavelength is optimized to be close to a diffraction limit, more than 95% of light energy is concentrated in a tiny area, and the light path structure is optimized to be uniform. The extremely high energy concentration ratio effectively reduces the requirement for the pixel size of the camera, the overall signal-to-noise ratio and spectral resolution of the system are remarkably improved, and the inherent disadvantages that an infrared indium gallium arsenic camera is small in pixel and low in signal-to-noise ratio are successfully overcome.

A method includes positioning a patient in a first orientation relative to a radiation source. The method further includes measuring one or more locations of a patient's thorax using a 3D imaging technique. The method further includes, while measuring the one or more locations of the patient's thorax using the 3D imaging technique: generating a model of the patient's thorax using the one or more locations of the patient's thorax; updating the model of the patient's thorax as the patient breathes; and exposing the patient to a radiation dose using the radiation source, wherein the dose is determined according to the model of the patient's thorax.

Phase-based methods can be used for one or more of acquisition, storage, or subsequent analysis (e.g., A-scan reconstruction or full focus method imaging) to support acoustic inspection. For example, binarization or other quantization techniques can be used to compress the amount of data associated with time series signal acquisition. A representation of phase information from the time series signals can be generated, e.g., by processing the binarized time series signals or otherwise quantized time series signals. As an illustrative example, using the representation of phase information, one or more A-scan reconstructions can be performed using phase summing techniques, e.g., for pulse echo A-scan inspection, or TFM imaging techniques can be used. In such phase summing methods, the time series representations of phase data can be summed, e.g., where each time series can be delayed (or phase-rotated) by an appropriate delay value, and then aggregated.

Techniques are described for enhancing the quality of three-dimensional (3D) anatomy scan images using deep learning. According to an embodiment, a system is provided that comprises a memory that stores computer executable components, and a processor that executes the computer executable components stored in the memory. The computer executable components comprise a reception component that receives a scan image generated from 3D scan data relative to a first axis of a 3D volume, and an enhancement component that applies an enhancement model to the scan image to generate an enhanced scan image having a higher resolution relative to the scan image. The enhancement model comprises a deep learning neural network model trained on training image pairs respectively comprising a low-resolution scan image and a corresponding high-resolution scan image respectively generated relative to a second axis of the 3D volume.

Aspects of the present disclosure provide improved fluorescence imaging techniques suitable for fluorescence-based analysis (e.g., sequencing) of an excited sample. Some aspects relate to directing an imaging aperture of a fluorescence imaging device towards a sample well region and capturing an image of the sample well region. Some aspects relate to selecting a sample well region and capturing an image of the selected sample well region. Some aspects relate to, during at least a portion of performing a controlled cleavage of a terminal amino acid in a first sample well, capturing a fluorescence image of a second sample well. Some aspects relate to setting a duration of imaging by and / or a location of an imaging aperture of a fluorescence imaging device. In some embodiments, aspects of the present disclosure provide for faster, less expensive, and / or greater control over fluorescence imaging and analysis of a sample.

A source emits a pulse to an object to generate a particle, and an imaging detector produces a light flash at an X / Y hit position of the particle. The detector outputs a waveform arising from the particle. An event-driven camera provides a signal from the detector that includes intensity and time-over-threshold signals related to the light flash, time-of-arrival information of the event, and the X and Y hit position of the particle. A photodiode determines a time origin of the pulse from the source. A timing circuit is coupled to the detector and to the photodiode, and determines time-of-flight (TOF) of the particle based on the waveform, and based on the time origin of the pulse. The 3D coordinates are generated based on the X / Y hit position synchronized with the TOF of the particle.

The various embodiments herein provide a system and method for character identification on curved planes The system integrates advanced imaging techniques, standardized character positioning, and a multi-plane OCR module utilizing machine learning to accurately identify characters on non-planar surfaces, such as ship hulls or cylindrical containers. The system includes a surface adaptation module for mapping and adjusting to surface curvatures, ensuring high accuracy across diverse conditions. Real-time processing capabilities offer immediate recognition results, while continuous machine learning-driven improvement enhances the system's effectiveness over time. The system also features a robust communication module for seamless data integration with external applications and a durable housing design to ensure reliable operation in harsh environments. This comprehensive approach provides an efficient and adaptable solution for industries requiring precise OCR on curved surfaces.

The invention relates to a method for performing a dedicated scan (1) using an imaging method (3) of a structure to be examined, in particular the left atrial appendage of a heart, comprising the following method steps: S1) Pre-selecting an area to be examined, wherein the area to be examined includes the structure to be examined, S2) Taking an overview photograph of the area to be examined, S3) Transmitting the overview recording to an evaluation unit (4), S4) Determining the position of the structure to be investigated in the overview image using artificial intelligence and determining preliminary coordinates, wherein the preliminary coordinates define the position of the structure to be investigated in the overview image, S5) Determining final coordinates using artificial intelligence based on preliminary coordinates, wherein the final coordinates define the position of the structure to be examined for the imaging procedure, S6) Transmitting the final coordinates to a control unit of the imaging procedure, S7) Performing a dedicated scan of the structure to be investigated using the transmitted final coordinates via the imaging technique (3). In this way, a method for performing a dedicated scan is provided, which can also detect structures that are difficult to define and with which radiation exposure can be reduced.

The application discloses an X-ray multi-contrast fusion projection tomography reconstruction method based on inter-domain consistent loss, and belongs to the technical fields of deep learning and X-ray multi-contrast imaging. The method comprises the following steps: acquiring a multi-contrast projection and a fusion projection image data set of X-ray grating imaging; constructing an end-to-end fusion projection tomography reconstruction network, wherein the network comprises a back projection layer and a plurality of convolution layers, and a skip connection structure is introduced; integrating the data set into a sinogram to input the network, and adopting a loss function comprising a fusion projection-fusion tomography inter-domain consistent loss and a contrast projection-fusion tomography inter-domain consistent loss to perform self-supervised training; and finally inputting a fusion sinogram projection into the trained network to output a fusion tomography image highly consistent with physical information of the projection domain. The application realizes information consistency of the projection domain and the fusion image of the tomography domain, and improves the comprehensive representation capability of multi-contrast imaging.

A method for providing a prediction of a representation of an examination region that was generated using a medical image technique involving a contrast agent may include receiving a first representation in frequency space of an examination region of an examination object, receiving a second representation in the frequency space of the examination region of the examination object, providing the first representation and the second representation as an input to a predictive machine learning model that is configured to provide, as an output, a prediction of a representation in the frequency space of the examination region with an amount of the contrast agent administered during a medical imaging technique, receiving the output of the predictive machine learning model based on the input, and converting the output of the predictive machine learning model to a representation in real space of the examination region of the examination object.

Techniques for determining a refined region of interest are described. In an embodiment, the refined region of interest may be associated with a radio frequency (RF) device. In some embodiments, a method may include obtaining, from one or more sensors, sensor data corresponding to a scene associated with at least a portion of a target object, wherein an RF device is associated with the target object; obtaining, from the RF device or a storage device, state information related to the RF device, object information related to the target object, or a combination thereof; and performing an action with respect to the target object based on a region of interest associated with the sensor data, the region of interest corresponding to the RF device and at least a portion of the target object, where the region of interest is based at least in part on the state information, the object information, or a combination thereof.

The utility model relates to the technical field of X-ray imaging, and particularly discloses floor type oral cavity CBCT (cone beam computed tomography) equipment which comprises a floor base and a rotating base rotationally sleeved on the floor base, a supporting mechanism is arranged on the floor base, and a shooting mechanism is arranged on the rotating base; the supporting mechanism comprises a lifting seat arranged at the top of the floor base, and a jaw support assembly and a head support assembly which are distributed on the front side and the rear side of the lifting seat; the shooting mechanism comprises a stand column, a radiation source and a detector, the radiation source and the detector are arranged in the radial direction of the floor base, the radiation source is fixed to the top of the stand column, a connecting piece used for mutual connection is arranged between the radiation source and the detector, and the lifting seat is located between the radiation source and the detector. By adopting the technical scheme provided by the utility model, the technical problems that the radiation source and the detector in the prior art need to be mounted separately, the mounting distance is long, the positioning difficulty of field mounting and later maintenance is increased, and the positioning precision is poor can be solved.

An imaging system and biopsy sample holder with a housing, a hollow cavity within the housing, a vacuum port positioned at an end of the housing and connected to the hollow cavity, a groove in the upper surface of the housing positioned between the ends of the housing, and a plurality of holes positioned in the groove and extending into the hollow cavity are provided. The groove is configured to receive a tissue sample or a biopsy needle for placement of a tissue sample in the groove. The tissue sample is held in place by negative pressure created by applying a vacuum source to the vacuum port. The holder can couple with the specimen stage of many different types of imagers and is well-suited for use with slide-free imaging techniques such as Fluorescence Imitating Brightfield Imaging (FIBI).

The subject invention pertains to a novel angle-closure detection method for risk assessment of primary angle closure (PAC) or primary angle closure glaucoma (PACG) to inform treatment decisions. According to certain embodiments, a plurality of cross-sectional images of the anterior segment of an eye centered at the pupil with preferably even radial separations are obtained from optical coherence tomography imaging. After identifying the position of scleral spur from the cross-sectional image captured at each angle-location, the anterior chamber angles are analyzed. Each angle-location of the eye is classified as (i) closed angle, (ii) narrow angle, or (iii) open angle. The extents of narrow angles and closed angles among all angle-locations across the 360° radial space are computed. Based on the extents of narrow angles and closed angles, a regression model is applied to compute the risk of PAC / PACG development.

A system and a method for imaging are provided for using in high-throughput imaging of bio-specimens, including, for example but not limited to, movements of bacteria or a colloidal suspension, and tracking of microscopic living organisms or particles. The system and method may be used for generating a volumetric image of a sample by combining holographic and fluorescence imaging techniques as disclosed herein. The system and method may include obtaining, via an optical imaging system, a fluorescence image and a digital hologram of a sample comprising one or more objects; generating a two-dimensional depth map of the one or more objects based on the digital hologram; correlating the two-dimensional depth map of the one or more objects with the fluorescence image of the sample; and generating a volumetric image of the one or more objects in a three-dimensional volume.

The present invention provides a novel one-step synthesis method for producing cyanine-based fluorophores with modified polymethine chains to prevent aggregation, enhancing their utility in biomedical research. These fluorophores, such as unsymmetrical heptamethine cyanines like SAT-IR-746, exhibit improved sensitivity, photostability, and brightness, making them ideal for applications such as live-cell imaging, biomolecule labeling, and near-infrared fluorescence microscopy. The synthesis process involves the preparation of a pyridinium benzoxazole (PyBox) intermediate from a substituted pyridine derivative and 2-chlorobenzoxazole, followed by condensation with sulfonated and substituted indolenines to form asymmetrical cyanine dyes, achieving high yields (e.g., 55-82% for SAT-IR series compounds). By addressing the aggregation issue common in traditional cyanine dyes through β-position substitution on the polymethine chain, this invention enables more accurate and reliable labeling and tracking of biomolecules without quenching, facilitating advanced imaging techniques and deeper insights into biological processes.

The present invention provides spectral code strategies that allow spectral codes to be accurately and consistently deployed in a wide range of substrates and background situations. The present invention uses taggant particles with a multilayer structure that is able to produce a strong, consistent spectral signal that is resistant to background noise effects. The spectral output can be read remotely from a distance using multispectral, particularly hyperspectral, imaging techniques.

Techniques include receiving a first image frame showing an object from a first view and a second image frame showing the object from the first view, wherein the first image frame and second image frame are different image frames. The techniques further include generating, based at least in part on the first image frame, a third image frame of the object from a second view that is different than the first view. The techniques further include generating, based at least in part on the second image frame and the third image frame, a fourth image frame of the object from the second view. The techniques further include generating a video of the object from the second view by combining at least the third image frame and fourth image frame.

This invention discloses a morphological feature-based method for axial artifact suppression in three-dimensional OCTA (Optical Coherence Tomography) imaging. The method involves distinguishing between large and small blood vessel regions using an image projection network, and restricting the axial connectivity of the blood vessels based on calculated lateral thickness and polar angle. Finally, Hessian filtering is used to further enhance the restricted image, achieving high-quality, axial artifact-free three-dimensional optical coherence tomography (OCT) vascular imaging of the inner retina. This invention significantly outperforms traditional mean subtraction and vessel enhancement methods in removing axial artifacts, and requires no additional imaging techniques, allowing direct application to existing data.

According to the present disclosure, a system and method for verifying a heavy ion beam range are provided. The system may include: a first detector configured to acquire a first detection signal from radiation generated from an irradiated target to which the heavy ion beam is irradiated; a second detector disposed at a certain distance from the first detector and configured to acquire a second detection signal; and a control unit configured to extract a first effective neutron signal and a second effective neutron signal from the first detection signal and the second detection signal, respectively, and to determine the heavy ion beam range within the irradiated target using a neutron scattering image reconstructed based on the first effective neutron signal and the second effective neutron signal. According to the present disclosure, by proposing a new range verification technique that applies a neutron scattering imaging technique to determine the range of a heavy ion beam, the efficiency and precision of determining the range of a heavy ion beam within a measurement target can be improved.

Techniques for described for mesh generation. An example method can include accessing information indicating a first correspondence between a first three-dimensional landmark of a source three-dimensional face mesh representing a first face and a second three-dimensional landmark of a target three-dimensional head mesh representing a second face, the first three-dimensional landmark and the second three-dimensional landmark corresponding to a facial feature. The method can further include accessing a two-dimensional face image representing a third face, the two-dimensional face image further showing the facial feature. The method can further include generating a three-dimensional head mesh based on the two-dimensional face image and the correspondence between the first three-dimensional landmark and the three-dimensional second landmark, the three-dimensional head mesh representing a fourth face and including a first facial characteristic of the second face and a second facial characteristic of the third face.

Techniques for tuning an image editing operator for reducing a distractor in raw image data are presented herein. The image editing operator can access the raw image data and a mask. The mask can indicate a region of interest associated with the raw image data. The image editing operator can process the raw image data and the mask to generate processed image data. Additionally, a trained saliency model can process at least the processed image data within the region of interest to generate a saliency map that provides saliency values. Moreover, a saliency loss function can compare the saliency values provided by the saliency map for the processed image data within the region of interest to one or more target saliency values. Subsequently, the one or more parameter values of the image editing operator can be modified based at least in part on the saliency loss function.

The present disclosure relates to a custom waveguide array to encode 3-dimensional data for snapshot imaging techniques like imaging spectrometry or volumetric spectral domain OCT. The custom waveguide array has a series of waveguides such as optical fibers having input ends and output ends. The input ends are grouped in a dense array input area. An array output area creates void spaces for the output ends. The output area thus may used to provide spectral information for an object imaged by the input area. The fiber arrays may be manufactured with an entirely automatic development process based on 3-D printing techniques such as 2-Photon Polymerization (2PP) additive manufacturing.

Techniques and systems are provided for image processing. For instance, a process can include obtaining, from one or more image sensors, an image of an environment. The process can further include detecting a first visual code in the image; decoding the first visual code; verifying safety of contents of the first visual code; determining that the contents of the first visual code contain a uniform resource locator (URL); and prefetching data linked by the URL based on verifying the safety of the contents of the first visual code.

Techniques include receiving a first image frame showing an object from a first view and a second image frame showing the object from the first view, wherein the first image frame and second image frame are different image frames. The techniques further include generating, based at least in part on the first image frame, a third image frame of the object from a second view that is different than the first view. The techniques further include generating, based at least in part on the second image frame and the third image frame, a fourth image frame of the object from the second view. The techniques further include generating a video of the object from the second view by combining at least the third image frame and fourth image frame.