A sensor for particle identification is provided. The subject sensor includes: a first chamber configured to be filled with an electrolytic solution; a first electrode provided inside the first chamber and configured to be connected to an external power supply for applying a voltage; a second chamber configured to be filled with the electrolytic solution; a second electrode provided inside the second chamber and configured to be connected to the external power supply; a data output means configured to output measurement data expressing an ion current generated between the first electrode and the second electrode; a partition separating the first chamber and the second chamber; and a presentation device for providing a unique identifier to an external computer device over a network.

Disclosed herein are methods for analyzing cell kinematics in a nucleated cell culture from a time-series sequence of multiple fluorescence microscopic images of the nucleated cell culture. The method includes the steps of, (a) identifying every cell nucleus in each fluorescence microscopic image; (b) identifying every cell cluster using the cell nuclei identified in the step (a); and (c) tracking the cells and/or cell clusters using the cell nuclei and cell clusters identified for the fluorescence microscopic images in steps (a) and (b) respectively.

A combination of mutually exclusive cell-based analytical techniques can be applied to the same group of cells for analysis. The same group of cells can be prepared for analysis by each technique resulting with candidate cells targeted for mass cytometry analysis. This configuration allows for the correlation of the information between each technique to produce a matrix of multi dimension of cellular information with the same group of cells.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for preparing a concrete mixture. One of the methods includes controlling an ingredient metering system to measure and add a plurality of ingredients to a concrete mixture, measuring characteristics of at least one ingredient of the ingredients using a particle analyzer, determining an estimated rheometry measurement of for the concrete mixture, obtaining an actual rheometry measurement of the concrete mixture, and selectively controlling the ingredient metering system to add one or more additional ingredients to the concrete mixture based on a comparison of the estimated rheometry measurement with the actual rheometry measurement.

According to various embodiments, a sensor arrangement for particle analysis may include: a base electrode configured to generate an electrical field for particle attraction; a support layer disposed over the base electrode; a sensor array disposed over the support layer and including or formed from a plurality of sensor elements, wherein each sensor element of the plurality of sensor elements is configured to generate or modify an electrical signal in response to a particle at least one of adsorbed to and approaching the sensor element; and an electrical contact structure may include or be formed from a plurality of contact lines, wherein each contact line of the plurality of contact lines is electrically connected to a respective sensor element of the plurality of sensor elements, such that each sensor element of the plurality of sensor elements is addressable via the contact structure.

The method is for quantification of purity of sub-visible particle samples. A sample to be analyzed is place in an electron microscope to obtain an electron microscopy image of the sample. The sample contains objects. The objects that have sizes being different from a size range of primary particles and sizes being within the size range of primary particles are enhanced. The objects are detected as being primary particles or debris. The detected primary particles are excluded from the objects so that the objects contain debris but no primary particles. A first total area (T1) of the detected debris is measured. A second total area (T2) of the detected primary particles is measured.

A method of antimicrobial susceptibility testing comprises: preparing samples of microorganisms suspended in an electrolyte, comprising a first sample of the microorganisms unexposed to antimicrobial agents and a second sample of the microorganisms exposed to an antimicrobial agent; passing the first sample through an impedance flow cytometer to obtain a first impedance signal representing one or more components of impedance values of the unexposed microorganisms; passing the second sample through the impedance flow cytometer to obtain a second impedance signal representing one or more components of the impedance values of the exposed microorganisms; comparing the first impedance signal and the second impedance signal; and determining a susceptibility of the microorganisms to the antimicrobial agent based on any differences between the first impedance signal and second impedance signal.

Systems are methods for identifying the composition of non-biological aerosol particles or biological aerosol particles including water bound to the surface of the particles, without pre-treatment using complex organic MALDI matrices. A continuous timing laser may be used to index the aerosol particles, determine optical particle properties, and trigger an IR pulse ionization laser. Ionized fragments, and optionally photons, associated with each particle produced by ionization of the particles the IR ionization laser is analyzed using one or more detectors including a TOFMS detector and an optical detector. Unique mass spectral data and optical data associated with each indexed particle is compiled using data fusion to generate a compiled data set. The compiled optical data is compared with a training data set comprising a knowledge base of known aerosol particles to predict aerosol particle composition.

Systems for identifying the composition of aerosol particles, particularly that of non-biological aerosol particles or biological aerosol particles including surface-bound water. A continuous timing laser triggers an IR ionization laser to fire when each particle enters the beam of the continuous trigger laser and determine optical properties of the aerosol particles in association with one or more laser scattering devices and generate optical data. The continuous laser beam and the pulse ionization laser beam are disposed as overlapping beams. Ionized fragments produced when each particle is struck by the ionization laser are analyzed using a TOFMS detector. A data analysis system is configured to compile the optical data with unique mass spectral data associated with each particle using data fusion and compare the compiled optical data with a training data set comprising of a knowledge base of known aerosol particles to predict composition.

In one embodiment, a method includes obtaining a borehole image deriving from a downhole tool in a wellbore of a geological formation, identifying one or more patches that correspond to sediment particles on the fullbore image, computing one or more characteristics for each of the one or more patches. The one or more characteristics may include long/short axis length, size, roundness, sphericity, orientation, or some combination thereof. The method may also include displaying a visual representation for each of the one or more characteristics.