A system and method for determining a trajectory parameter of particles, comprising receiving a plurality of particles at a microfluidic channel, applying a force to each particle of the microfluidic channel, acquiring a dataset of each particle, measuring a trajectory of the particle, and determining a trajectory parameter of the particles.

The method for particle analysis includes a first magnetic susceptibility measurement step S4 of measuring a volume magnetic susceptibility of each of first particles p1; an encapsulation treatment step S5 of performing an encapsulation treatment so that the first particles p1 encapsulate an encapsulation target component pt smaller than the first particles p1; a second magnetic susceptibility measurement step S8 of measuring a volume magnetic susceptibility of each of second particles p2 as an analysis target that are the first particles p1 after the encapsulation treatment; and a step S9 of analyzing whether or not the encapsulation target component pt is encapsulated in the second particles p2 based on a result of measurement in the first magnetic susceptibility measurement step S4 and a result of measurement in the second magnetic susceptibility measurement step S8.

Provided is a fluid monitoring method including photographing a particle in a flowing fluid using a first camera, photographing the particle using a second camera spaced apart from the first camera, and analyzing the particle using images captured by each of the first camera and the second camera, in which the analyzing of the particle includes calculating a volume of the particle, calculating a velocity of the particle moving in the fluid, calculating a density of the particle using the volume and the velocity, and identifying a type of the particle using the density.

The invention describes a laser sensor module (100) which is adapted to detect or determine at least two different physical parameters by means of self-mixing interference by focusing a laser beam to different positions. Such a laser sensor module (100) may be used as an integrated sensor module, for example, in mobile devices (250). The laser sensor module (100) may be used as an input device and in addition as a sensor for detecting physical parameters in an environment of the mobile communication device (250). One physical parameter in the environment of the mobile communication device (250) may, for example, be the concentration of particles in the air (air pollution, smog . . . ). The invention further describes a related method and computer program product.

A sample holder includes a slide, containing a depression in a surface of the slide. A cover slip is fixed to the slide over the depression so as to define a sample chamber, while leaving a loading area of the depression uncovered, so that a liquid sample deposited in the loading area is drawn into the sample chamber by capillary action.

The present disclosure provides improved systems and methods for automated cell identification/classification. More particularly, the present disclosure provides advantageous systems and methods for automated cell identification/classification using shearing interferometry with a digital holographic microscope. The present disclosure provides for a compact, low-cost, and field-portable 3D printed system for automatic cell identification/classification using a common path shearing interferometry with digital holographic microscopy. This system has demonstrated good results for sickle cell disease identification with human blood cells. The present disclosure provides that a robust, low cost cell identification/classification system based on shearing interferometry can be used for accurate cell identification. For example, by combining both the static features of the cell along with information on the cell motility, classification can be performed to determine the type of cell present in addition to the state of the cell (e.g., diseased vs. healthy).

A particle detection system includes a light source configured to generate a light beam, a first collimator lens configured to channel the light beam into the chamber through a first sidewall, the chamber including openings on a second sidewall opposite the first sidewall, and a second collimator lens configured to channel light received from the openings to a light detector. A method for detecting particles flowing through a chamber includes generating a light beam, channeling the light beam into the chamber via a first collimator lens, detecting light escaped from the chamber via a plurality of openings formed at a second sidewall of the chamber opposite the first sidewall, at a light detector via a second collimator lens located outside the second sidewall, and determining parameters of the one or more particles flowing through the chamber based on the received escaped light.

The present disclosure discloses a multi-droplet sensing and actuation system, for use in a digital microfluidic chip operation wherein a linearly independent alternating current signal is applied to each discrete actuation electrode thus encoding the electrode's identity. The combined measured impedance signal from multiple channels is then processed to decode an impedance measurement for the volume between each discrete actuation electrode and its corresponding conductive counter electrode region, where the sensed impedance is inversely proportional to an amount of liquid within the volume.

Disclosed is a system for estimating a snow depth including: an optical disdrometer for acquiring information on diameters of snow particles and particle number concentration; a laser snow depth gauge for measuring the height of snow accumulated through a laser beam type sensor to provide an observed stop depth; an estimated snow depth equation calculator for determining an optimal index for the diameters of the snow particles provided by the optical disdrometer, substituting the optimal index for a snow depth calculation equation as a first mathematical equation to calculate a computed snow depth, obtaining correlation between the observed snow depth and the computed snow depth, and calculating a regression equation between the observed snow depth and the computed snow depth as an estimated snow depth equation; and a snow depth estimator for estimating the snow depth on the basis of the estimated snow depth equation, and the first mathematical equation.

A method and apparatus (1) for monitoring particles flowing in a stack are disclosed. The method comprises emitting light from a light source along an optical path for scattering from the particles, rotating a rotatable monitoring assembly (15) mounted in the optical path, and detecting the scattered light using a detector. The rotatable monitoring assembly (15) contains at least two in apertures, and the method further comprises rotating the rotatable monitoring assembly (15) into a plurality of different configurations. In an operation configuration, light passes through the rotatable monitoring assembly (15) and into the stack unimpeded. In a zero-check configuration, the rotatable monitoring assembly (15) blocks the light from reaching the stack. In a span-check configuration, light of varying intensity passes from the light source through the rotatable monitoring assembly (15) into the stack. In a contamination-check configuration, the light is reflected through the rotatable monitoring assembly (15) onto the detector, without entering the stack. In the safety-shutter configuration, the rotatable monitoring assembly (15) protects optical components in the instrument from particles in the stack.