An interferometric scattering microscope is adapted by performing spatial filtering of output light, which comprises both light scattered from a sample location and illuminating light reflected from the sample location, prior to detection of the output light. The spatial filtering passes the reflected illumination light but with a reduction in intensity that is greater within a predetermined numerical aperture than at larger numerical apertures. This enhances the imaging contrast for coherent illumination, particularly for objects that are weak scatterers.

For patient weight estimation in a medical imaging system, a patient model, such as a mesh, is fit to a depth image. One or more feature values are extracted from the fit patient model, reducing the noise and clutter in the values. The weight estimation is regressed from the extracted features.

In one embodiment, a method executed by a computing system, comprising: receiving pixel samples from three-dimensional (3D) data corresponding to one or more images comprising one or more animals; fitting curves for the received pixel samples; deriving parameters from the curves; determining measurements based on variations in the parameters; and estimating a weight of the one or more animals by applying one or more regression algorithms to the measurements.

A method of optical and microwave synergistic retrieval of aboveground biomass, the method including: 1) obtaining an observation value of aboveground biomass (AGB) of a sample plot; 2) pre-processing laser radar (LiDAR) data, optical remote sensing data and microwave remote sensing data covering a research region, to yield crown height model (CHM) data, surface reflectance data and a backscattering coefficient, respectively; 3) extracting different LiDAR variables, extracting a plurality of optical characteristic vegetation indexes, and extracting a plurality of microwave characteristic variables; 4) establishing a multiple stepwise linear regression model of the biomass; 5) taking the biomass value of the LiDAR data coverage region as a training set and a verification sample set, and selecting samples for modeling and verification; 6) screening out the optical and microwave characteristic variables; and 7) constructing an optical model, a microwave model, and an optical and microwave synergistic model of AGB retrieval, respectively.

A food processing system and a method for processing and batching food items conveyed by a conveyor means where the batches fulfil at least one target criteria including at least one weight target, including a first weight determining means for determining the weight of incoming food items, a batching system, a food item separation device positioned downstream in relation to the first weight determining means and upstream in relation to the batching system, and a control system for controlling the batching system and the food item separation device. The controlling including, repeatedly: monitoring the weight of the incoming food items, determining, based on the weight of the incoming food items, a prospect indicator indicating the prospect to meet the target criteria for the batches such that each batch fulfils the at least one target criteria, and comparing if the prospect indicator fulfils a pre-defined criteria.

A method of determining a plant's biomass includes three steps, namely establishing an X-ray photograph of the plant, establishing an absorption characteristic of the plant in an X-ray photograph, and determining the plant's biomass by means of the absorption characteristic of the plant. Said determining is based on a predetermined relation between a reference absorption characteristic and a reference biomass.

A calibration device is a calibration device configured to calibrate a load meter that measures an axle load of a vehicle. The calibration device includes a detector and a calibrator. The detector detects a displacement amount corresponding to displacement caused on a road by the axle load of the vehicle. The calibrator aggregates the displacement amounts detected by the detector to generate a histogram of the displacement amounts, and updates a displacement coefficient for calculating the axle load of the vehicle based on a shape of the histogram. The calibrator updates the displacement coefficient base only on the shape of the histogram corresponding to a first axle serving as a forefront axle of the vehicle.

A measurement apparatus for weight measuring composite sheet including a sheet material having a second material thereon as a coating and/or as embedded particles therein. The apparatus includes an x-ray sensor for providing an x-ray signal from x-ray irradiating the composite sheet and an infrared (IR) sensor for providing an IR signal from IR irradiating the composite sheet. A computing device is coupled to receive the x-ray signal and the IR signal that includes a processor having an associated memory for implementing an algorithm, where the algorithm uses the x-ray signal and the IR signal to compute a plurality of weights selected from a weight of the sheet material, a weight of the second material, and a total weight of the composite sheet.

To measure the mass per unit area of an applied layer in a layered film while preventing a measurement error from being caused by thickness unevenness, a per-unit-area-mass measuring device (30) includes a light projector (31a) configured to project light having a center wavelength of 405 nm, a light projector (31b) configured to project light having a center wavelength of 850 nm, light receivers (32a, 32b) configured to receive light having been transmitted through a separator (12), and a control section (33) configured to calculate the mass per unit area of a heat-resistant layer (4) on the basis of the respective transmitted-light intensities of the light having a center wavelength of 405 nm and the light having a center wavelength of 850 nm.

In a calibration routine, a first set of X-ray recordings of at least one closed first reference package without content is produced, and a mass calibration signature is derived therefrom. A second set of X-ray recordings of at least one closed second reference package having a reference content is produced, and a reference signature is derived therefrom. From the reference signature and the mass calibration signature, a reference measurement value is derived via subtraction. The reference mass of the reference content is ascertained by weighing and assigned to the reference measurement value. In ongoing measurement operation, at least one set of measuring X-ray recordings of closed foil packages each having a content is produced and a measurement signature is derived therefrom. Herefrom, and from the mass calibration signature, measurement values for the individual closed foil packages are derived via subtraction, from which the masses of the contents are quantitatively determined.