A method of detecting particles (1), e.g. proteins, after separation of particles based on their specific features, e.g. charge, size, shape, density, as series of single light scattering events created by the individual particles is described. The particles (1) are separated from each other along the separation path (11) and particles have specific arrival times at the target side depending on the particle features. The detecting step comprises an interferometric sensing of the light scattered at individual particles bound or transient in the detection volume (30). Parameters of the scattering light signals e.g. the interferometric contrast are analysed for obtaining specific particle features, e.g. size, mass, shape, charge, or affinity of the particles (1). Furthermore, a detection apparatus (100) being configured for detecting particles (1) is described.

An optical particle sensor includes-at least one light source configured to emit light rays; at least one channel intended to receive a fluid transporting at least one particle, and to at least partially receive the light rays emitted by the at least one source such that said light rays are partially scattered by the at least one particle; and at least one photodetector capable of receiving said scattered light rays. The at least one source has an emission face facing one side of the sensor and the at least one photodetector has a receiving face facing the same side of the sensor, wherein the light rays received by the at least one photodetector are light rays backscattered by the at least one particle, for at least 90% of the light rays.

A device for detecting gases or particles includes a light source capable of emitting a light beam, an interaction cavity including first and second reflective walls substantially parallel with each other, a plurality of monomode optical waveguides each having a first end of width l1 optically coupled to the light source and a second end of width l2, greater than the width l1, optically coupled to a first end of the interaction cavity, each optical waveguide including in its second end of width l2 a diffraction grating having a pitch P in particular chosen as a function of a concentration C and a parameter α of interaction with the light beam of a type of gas or particle to detect; and a detector coupled to a second end of the interaction cavity.

An imaging system and method for detecting a target in a sample. The imaging system includes a lens-free holographic microscope having a light source in a first plane spaced above an image sensor. The image sensor extends in a second plane. The system also includes a microfluidic chip positioned between the light source and the image sensor. The microfluidic chip extends in a third plane, which is parallel to the second plane. There is at least one chamber in the microfluidic chip configured to receive a sample solution with a target. The system also has a plurality of functionalized beads positioned within the at least one chamber in the microfluidic chip. Any two of the plurality of functionalized beads have an affinity for binding together when exposed to the target in the sample solution.

The present invention provides a smart air filter blockage detection and alert communication system for use with filters in air circulation systems such as HVAC, vehicles, server systems, and dryers. The system attached to the frame of a filter comprises a light source, a light sensor, two actuators and a control unit. The control unit based on a stored program or an external command activates the actuators to place the source and the sensor devices attached to the two arms of the actuators on the two sides of the filter membrane. The sensor measures the light intensity transmitted through the filter. The control unit upon receiving the intensity data determines the filter blockage level and communicates alert to the user when the blockage exceeds a predetermined value. The system uses a 4G or a 5G IoT network capability for data collection and communication with servers and user devices.

Provided is a high efficiency and high sensitivity particle capture type terahertz sensing system. The particle capture type terahertz sensing system includes a sensing substrate to capture particles, and a terahertz sensor to emit terahertz electromagnetic waves to the sensing substrate to sense the particles, wherein the sensing substrate includes a base substrate and a particle capture structure layer formed on the base substrate, the particle capture structure layer includes a plurality of slits for focusing the terahertz electromagnetic waves, the particle capture structure layer captures the particles in the plurality of slits using dielectrophoresis, and an area in which the terahertz electromagnetic waves converge to the plurality of slits matches an area in which the particles are captured in the plurality of slits through the dielectrophoresis.

An optical method of characterizing an object comprises providing an object to be characterized, the object having at least one nanoscale feature; illuminating the object with coherent plane wave optical radiation having a wavelength larger than the nanoscale feature; capturing a diffraction intensity pattern of the radiation which is scattered by the object; supplying the diffraction intensity pattern to a neural network trained with a training set of diffraction intensity patterns corresponding to other objects with a same nanoscale feature as the object to be characterized, the neural network configured to recover information about the object from the diffraction intensity pattern; and making a characterization of the object based on the recovered information.

A particle sizing method which allows for counting and sizing of particles within a colloidal suspension flowing through a single-particle optical sizing sensor SPOS apparatus using pulse height detection and utilizing non-parallel and non-uniform illumination within the sensing region of the flow cell. The method involves utilizing a deconvolution process which requires the SPOS apparatus to be characterized during a calibration phase. Once the SPOS apparatus has been characterized, the process of deconvolution after a data collection run, recursively eliminates the expected statistical contribution to the pulse height distribution PHD histogram in all the lower channels from the highest channel height detected, and repeating this for all remaining channels in the PHD, removing the contributions from largest to smallest sizes.

Device and method for detecting dispersed extracellular vesicles in a liquid dispersion sample, said method using an electronic data processor for classifying the sample as having, or not having, extracellular vesicles present, the method comprising the use of the electronic data processor for pre-training a machine learning classifier with a plurality of extracellular vesicle liquid dispersion specimens comprising the steps of: emitting a laser modulated by a modulation frequency onto each specimen; capturing a temporal signal from laser light backscattered by each specimen for a plurality of temporal periods of a predetermined duration for each specimen; calculating specimen DCT or Wavelet transform coefficients from the captured signal for each of the temporal periods; using the calculated coefficients to pre-train the machine learning classifier; wherein the method further comprises the steps of: using a laser emitter having a focusing optical system coupled to the emitter to emit a laser modulated by a modulation frequency onto the sample; using a light receiver to capture a signal from laser light backscattered by the sample for a plurality of temporal periods of a predetermined duration; calculating sample DCT or Wavelet transform coefficients from the captured signal for each of the temporal periods; using the pre-trained machine learning classifier to classify the calculated sample coefficients as having, or not having, extracellular vesicles present.

Systems for detecting, capturing, and/or measuring nanoparticles. The system may include a first vacuum chamber, where nanoparticles are formed inside a first cavity of the first vacuum. The system may also include a second vacuum chamber in fluid communication with the first vacuum chamber, a particle collection component positioned within a second cavity of the second vacuum chamber, and a particle collection medium disposed over the particle collection component. Additionally, the system may include a particle counter in fluid communication with the second vacuum chamber, and a control system operably coupled to the component. The control system may be configured to aerosolize the nanoparticles by adjusting a temperature of the component to a first temperature that establishes the medium in the solid phase, and adjusting the temperature of the component to a second temperature to transition the medium from the solid phase to a gaseous phase.