Patent classifications
G01N2015/1497
Method to produce evolving concrete mixture heuristic
Methods, systems, and apparatus for generating a recipe for a concrete mixture, comprising: obtaining an optical characterization of a set of particles; determining, based on the optical characterization, physical characteristics of the set of particles; generating a multispherical approximation of the set of particles; selecting, based on the physical characteristics of the set of particles and from a database of performance rules, performance rules applicable to the set of particles; predicting performance of a proposed recipe for a concrete mixture formed from the set of particles by: determining a wet flowability rating of the proposed recipe based on the selected performance rules; and determining a dry packing rating of the proposed recipe based on the multispherical approximation; iteratively altering the proposed recipe and predicting performance of the altered proposed recipe until the predicted performance satisfies performance criteria to obtain a final recipe; and outputting the final recipe.
CLASSIFICATION OF BLOOD CELLS
In a disclosed example, a computer-implemented method includes storing image data that includes an input image of a blood sample within a blood monitoring device. The method also includes generating, by a machine learning model, a segmentation mask that assigns pixels in the input image to one of a plurality of classes, which correlate to respective known biophysical properties of blood cells. The method also includes extracting cell images from the input image based on the segmentation mask, in which each extracted cell image includes a respective cluster of the pixels assigned to a respective one of the plurality of classes.
Airborne particle monitoring system with illumination and imaging
An airborne biological particle monitoring device collects particles floating in air. The monitoring device includes a processor, a camera sensor, and a set of approximately monochromatic illumination sources that correspond to a set of spectral curves. The camera sensor captures images of the particles providing a spectral analysis of the particles. The processor analyzes the images to identify the collected particles.
Systems and methods for laser scissors and tweezers with a quantitative phase microscope (QPM)
Systems and methods are provided for Quantitative Phase Microscopes (QPM) having laser systems including one or more of laser scissors and laser tweezers. In one embodiment, the system includes one or more structural elements, such as a stage and dichroic plate for operation of a QPM with laser scissors/tweezers. Another embodiment is directed to a method of operating a QPM system having laser scissors/tweezers. One or more solutions are provided for biodmedical applications of a QPM system including simulation and analysis of trauma on cellular structures and organelles. Processes are also provided for simulation and analysis of traumatic injury, including imaging and analysis of astrocytes.
Measuring mechanical properties of rock cuttings
A system for measuring mechanical properties of rock cuttings includes a vibration platform with an upper surface configured to vibrate a plurality of rock cuttings thereon. A sensor system is operatively connected to the vibration platform to monitor the rock cuttings vibrating on the upper surface of the vibration platform. A calculation module is operatively connected to the vibration platform and the sensor system to calculate mechanical properties of the rock cuttings based on applied vibrational force frequency of the vibration platform and measurements of the rock cuttings from the sensor system.
Particle analysis using light microscope and multi-pixel polarization filter
Techniques in connection with the use of a multi-pixel polarization filter in the light-microscopic examination of a sample object are described. In this way e.g. a particle analysis can be carried out, e.g. in particular for determining the technical cleanness of a surface of the sample object.
OBJECT TRACKING BASED ON FLOW DYNAMICS OF A FLOW FIELD
In example implementations, an apparatus is provided. The apparatus includes a channel, a camera, and a processor. The channel contains a fluid and an object. The fluid is to move the object through the channel. The camera system is to capture video images of the object in the channel. The processor is to track movement of the object in the channel via the video images based on known flow dynamics of the channel.
SYSTEM FOR ANALYSING DROPS AND COATING INSTALLATION COMPRISING SUCH A SYSTEM
A system for analysing drops capable of being ejected by a coating product applicator, includes a light source configured to illuminate a drop ejection zone, designated observation zone; a first image acquisition device configured to acquire an image of the observation zone; and an image analyser configured to determine, from the image of the observation zone, the presence of drops at a given distance from the applicator, the size of the drops and the absence of satellite; the light source and the first image acquisition device being situated on a same side of the observation zone.
Method for automated non-invasive measurement of sperm motility and morphology and automated selection of a sperm with high DNA integrity
A method of automated measurement of motility and morphology parameters of the same single motile sperm. Automated motility and morphology measurements of the same single sperm are performed under different microscope magnifications. The same single motile sperm is automatically positioned and kept inside microscope field of view and in focus after magnification switch. A method of automated non-invasive measurement of sperm morphology parameters under high magnification of imaging. Sperm morphology parameters including subcellular structures are automatically measured without invasive sample staining. A method of automatically selecting sperms with normal motility and morphology and DNA integrity for infertility treatment.
SYSTEM AND METHOD FOR DETERMINING AN INDICATOR OF PROCESSING QUALITY OF AN AGRICULTURAL HARVESTED MATERIAL
A method and a system for determining an indicator of processing quality of an agricultural harvested material using a mobile device is disclosed. A computing unit analyzes image data of a prepared sample of harvested material containing grain components and non-grain components in an analytical routine to determine the indicator of the processing quality of the agricultural harvested material. Further, the computing unit uses a trained machine learning model in the analytical routine to perform at least one step of determining the indicator of the processing quality of the agricultural harvested material and that the computing unit adjusts at least one machine parameter of the forage harvester based on the indicator of processing quality.