A sensor for particle identification 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 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.

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 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.

Systems and methods for monitoring air particulate matter are provided herein that capture particles from the air for analysis. Particles are captured using electrostatic and/or mechanical means to deflect particles toward a substrate. Electrostatic precipitation causes charged carriers to deflect towards a charged substrate. Filtration-based means employ filters and/or fibers to capture particles from air flowing therethrough. A sensor such as a camera is used to read the captured particles. An illumination source directs light towards the substrate, causing the particles to scatter light, which the sensor can detect and derive information or imaging therefrom, which can also be used for further particle or pollution analyses. The substrate can be replenished using electrostatic techniques such as reverse electrostatic force, or mechanical means such as cleaning using a brush or replacing a tape substrate. Dynamic PM monitoring detects and makes adjustments such as those related to air volume, imaging characteristics and substrate replenishment.

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.

The invention relates to a system (10) adapted to measure multiple biophysical characteristics of cells, the system (10) comprising: a microfluidic chip (12) provided with a microfluidic channel (14) which allows cells to flow through, the microfluidic channel (14) having an inlet (14a), an outlet (14b), and a lateral opening (14c) situated between the inlet (14a) and the outlet (14b); and a capacitive sensor (30) integrated in the microfluidic chip, adapted to obtain biophysical characteristics of a single cell in the microfluidic channel (14) by directly manipulating the single cell by sensor elements (31, 32) through the lateral opening (14c) of the microfluidic channel (14), the sensor (30) comprising a stationary part and an electrostatically driven movable part which is movable relative to the stationary part, the stationary part being fixed to the microfluidic chip (12), the movable part being arranged in the lateral opening (14c) of the microfluidic channel (14), wherein a portion of the sensor elements (31, 32) provides an interface between fluid and air in the system.

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.

The present invention provides a number analyzing method, a number analyzing device, and a storage medium for number analysis, which enable, with high accuracy, analysis of the number or number distribution of particulate or molecular analytes according to the kinds of the analytes. A computer control program is executed on the basis of a data group of particle-passage detection signals which are detected by a nanopore device (8) in accordance with passage of subject particles through a through-hole (12). Also, a particle type distribution estimating program, which is a number deriving means, is executed, to estimate probability density on the basis of a data group based on feature values indicating feature of the waveforms of pulse signals which correspond to the passage of particles and which are obtained as the particle-passage detection signals. Thus, the number of particles can be derived for each particle type.

Disclosed are systems are methods for identifying the composition of single aerosol particles, particularly that of bioaerosol particles. A continuous timing laser tightly coupled with a pulse ionization laser is used to index aerosol particles, measure particle properties, and trigger the ionization laser to fire when each particle enters the beam of the trigger laser. Ionized fragments and optionally photons produced when each particle is struck by the ionization laser are analyzed using one or more detectors including a TOF-MS detector and an optical detector. Individual single particle spectra are aligned and denoised prior to averaging.

Disclosed are systems are methods for identifying the composition of single aerosol particles, particularly that of bioaerosol particles, without pre-treatment using complex organic MALDI matrices. A continuous timing laser may be used to index aerosol particles, measure particle properties, and trigger a pulse ionization laser. Ionized fragments and optionally photons associated with each particle producing by the ionization laser may be analyzed using one or more detectors including a TOF-MS detector and an optical detector. The laser pulse may comprise a simultaneous IR and UV laser pulse when fragments comprise predominantly of UV chromophores. Unique spectral data associated with each indexed particle from each detector may be compiled using data fusion to generate compiled spectral data. Machine learning methods may be used to improve the prediction of composition over time.