Techniques for processing ore include the steps of causing an imaging capture system to record a plurality of images of a stream of ore fragments en route from a first location in an ore processing facility to a second location in the ore processing facility; correlating the plurality of images of the stream of ore fragments with at least one or more characteristics of the ore fragments using a machine learning model that includes a plurality of ore parameter measurements associated with the one or more characteristics of the ore fragments; determining, based on the correlation, at least one of the one or more characteristics of the ore fragments; and generating, for display on a user computing device, data indicating the one or more characteristics of the ore fragments or data indicating an action or decision based on the one or more characteristics of the ore fragments.

A system for processing Raman scattering light from a sample is provided. The system includes a source, a digital mirror device (DMD), a detector, and an analyzer. The DMD is configured to reflect Raman scattering light and includes micromirrors selectively controllable between ON and OFF states. The detector is configured to detect Raman scattering light and to produce signals representative of the Raman scattering light. The analyzer is in communication with the light source, the DMD, the detector, and a memory storing instructions, which instructions when executed cause the processor to: a) control the light source to produce a beam of light for interrogating the sample; b) control the DMD to place in an ON or OFF state based on one or more known spectral shapes stored in the memory; and c) process the Raman scattering light reflected by the micromirrors in the ON state.

In one embodiment, apparatus and methods for determining a parameter of a target are disclosed. A target having an imaging structure and a scatterometry structure is provided. An image of the imaging structure is obtained with an imaging channel of a metrology tool. A scatterometry signal is also obtained from the scatterometry structure with a scatterometry channel of the metrology tool. At least one parameter, such as overlay error, of the target is determined based on both the image and the scatterometry signal.

Methods and systems for detecting the presence of irregularities in milk, and for assessing a health state of a lactating mammal, are provided. A sample of milk is illuminated with a light beam. Scattering data resulting from an interaction between the light beam and the sample of milk is collected. The scattering data is processed to detect the presence or absence of light scattered at a predetermined angle relative to a normal orientation, for instance to determine at least one characteristic of the sample of milk. Based on the presence or absence of light, the presence of irregularities in the sample of milk can be determined, for instance to assess the health state of the lactating mammal based on the at least one characteristic of the sample of milk.

The present invention relates to the field of phenotyping, particularly to systems and methods for collecting, retrieval and processing of data for accurate and sensitive analysis and prediction of a phenotype of an object, particularly of a plant.

Systems and methods for optical fluid identification approximation and calibration are described herein. One example method includes populating a database with a calculated pseudo optical sensor (CPOS) response of a first optical tool to a first sample fluid. The CPOS response of the first optical tool may be based on a transmittance spectrum of a sample fluid and may comprise a complex calculation using selected components of the first optical tool. A first model may be generated based, at least in part, on the database. The first model may receive as an input an optical sensor response and output a predicted fluid property. A second model may also be generated based, at least in part, on the database. The second model may receive as an input at least one known/measured fluid/environmental property value and may output a predicted pseudo optical sensor response of the first optical tool.

A method of characterizing a serum and plasma portion of a specimen in regions occluded by one or more labels. The characterization may be used for determining Hemolysis (H), Icterus (I), and/or Lipemia (L), or Normal (N) of a serum or plasma portion of a specimen. The method includes capturing one or more images of a labeled specimen container including a serum or plasma portion, processing the one or more images with a convolutional neural network to provide a determination of Hemolysis (H), Icterus (I), and/or Lipemia (L), or Normal (N). In further embodiments, the convolutional neural network can provide N′-Class segmentation information. Quality check modules and testing apparatus adapted to carry out the method are described, as are other aspects.

Provided is a method for predicting optical properties of a sample, the method including obtaining, by a device, a plurality of diffuse reflectance values based on optical energy diffusely reflected from the sample, generating, by a multi-layered Deep Fully Connected Neural Network (DFCNN) in the device, a first set of intermediate values by non-linearly mapping the plurality of diffuse reflectance values to the first set of intermediate values, generating, by a One-Dimensional-Convolutional Neural Network (1D-CNN) in the device, a second set of intermediate values by non-linearly mapping the plurality of diffuse reflectance values to the second set of intermediate values, and predicting, by the device, values of the optical properties of the sample based on the first set of intermediate values and the second set of intermediate values.

The present disclosure provides a detection system for detecting matter and distinguishing specific matter from other matter. The detection system comprises at least one light source arranged to emit one or more light beams having a known wavelength or wavelength range. Further, the detection system comprises at least one optical element configured to direct the one or more light beams onto a plurality of locations within an area of interest including the matter. The detection system also comprises a detector for detecting intensities of the one or more light beams reflected at the plurality of locations within the area of interest including the matter. In addition, the detection system comprises an outcome determination system. The system is arranged to obtain information indicative of at least a portion of a shape of at least some of the matter based on detected light intensities of the one or more light beams reflected at the plurality of locations. The system is also arranged to obtain information indicative of a spectral intensity distribution based on detected light intensities of the one or more light beams reflected at the plurality of locations. The outcome determination system is arranged determine whether the matter is specific matter based on the information indicative of at least a portion of a shape of at least some of the matter and based on the information indicative of a spectral intensity distribution.

Systems and methods for sensing objects are provided. A sensing apparatus can include a sensor comprising a photo-detecting unit configured to absorb (i) a first incident light having a first wavelength to generate a first detecting signal and (ii) a second incident light having a second wavelength to generate a second detecting signal. The sensing apparatus can further include a calculation circuit coupled to the sensor. The calculation circuit can be configured to output a calculating result according to the first detecting signal and the second detecting signal. The sensing apparatus can further include an adjustment circuit coupled to the calculation circuit. The adjustment circuit can be configured to perform an adjustment to one or more functionalities associated with the sensing apparatus according to the calculating result.