A particle mass concentration in an aerosol volume can be detected by an optical particle sensor. In order to ensure that different degrees of contamination of the optical particle sensor can be detected by the sensor and can be taken into consideration, the optical particle sensor identifies individual particles at low particle concentrations of up to 1000 particle s/cm.sup.3.

Provided are a quality control method, a quality control system, a management apparatus, an analyzer, and a quality control abnormality determination method in which measurement results of both a quality control substance and a specimen are sufficiently utilized to improve the quality of quality control. The quality control method used in a management apparatus which is connected via a network to an analyzer installed in each of a plurality of facilities includes obtaining, from an analyzer in each facility via a network, first quality control information obtained by measuring an artificially generated quality control substance, and second quality control information obtained by measuring a plurality of specimens by the analyzer in each facility; and outputting information concerning quality control of an analyzer in at least one facility, based on the obtained first quality control information and second quality control information.

The present disclosure describes a method, a system, and a computer program product of indicating a status of an analytical instrument on a screen of the analytical instrument. In an embodiment, the method, the system, and the computer program product include receiving data from an analytical instrument monitoring a liquid sample, segmenting the received data into data segments for at least two characteristics of at least one of the instrument, the sample, and an operating environment of the instrument, analyzing each of the data segments for the at least two characteristics, retrieving threshold values for the at least two characteristics from a computer data source, calculating at least one status of at least one of the instrument, the sample, and the operating environment, with respect to the analyzed data segments and the threshold values, and displaying the at least one status on a display of the instrument.

Disclosed herein are a particle sorting device capable of simply detecting bubbles, foreign substances, or the like in droplets, a method for analyzing particles, a program, and a particle sorting system. The particle sorting device includes a judgment unit, and the judgment unit judges whether or not captured image information including captured droplet image information about a brightness of an image of particle-containing droplets captured after discharge from an orifice has changed with respect to previously-set reference image information including reference droplet image information about a brightness of an image of droplets captured after discharge from the orifice.

A system for detecting bubbles within a liquid flowing in an interior of a pipe. The system includes a transmitter emitting directed light through the liquid flowing through the pipe and a receiver for receiving the emitted directed light from the transmitter. The transmitter and receiver are affixed on opposite sides of the pipe. The system also includes a microcontroller having a modulator. The microcontroller communicates with the transmitter and receiver. The microcontroller sends a modulation protocol for emitting the directed light with a specified modulation protocol to the transmitter and receiver. The transmitter emits the directed light as modulated light based upon the modulation protocol and the receiver filters out all unmodulated light, correlates information on modulated light received from the transmitter and sends correlated light information to the microcontroller. The microcontroller determines a presence of bubbles in the liquid based on the light information received from the receiver.

The present technology provides a technology of improving measurement efficiency in microparticle measurement for optically measuring a characteristic of a microparticle. For this, in the present technology, there is provided a microparticle measuring device and the like provided with a detecting unit which detects light from a microparticle sent from one of a plurality of containers containing microparticles, and an information processing unit which controls to specify a feature amount related to a detection number in a certain time section on the basis of information detected by the detecting unit, determine that the feature amount is abnormal on the basis of a predetermined threshold, and finish detection for the one container.

Disclosed herein are a particle sorting device capable of simply detecting bubbles, foreign substances, or the like in droplets, a method for analyzing particles, a program, and a particle sorting system. The particle sorting device includes a judgment unit, and the judgment unit judges whether or not captured image information including captured droplet image information about a brightness of an image of particle-containing droplets captured after discharge from an orifice has changed with respect to previously-set reference image information including reference droplet image information about a brightness of an image of droplets captured after discharge from the orifice.

Aspects of the present disclosure include methods for detecting events in a flow cytometer. Also provided are methods of detecting cells in a flow cytometer. Other aspects of the present disclosure include methods for determining a level of contamination in a flow cell. Computer-readable media and systems, e.g., for practicing the methods summarized above, are also provided.

A flow cytometer apparatus and methods for detecting and clearing a clog therein are disclosed. An example method for detecting a clog may include (i) detecting, via a fault detection system of a flow cytometer, a first plurality of events associated with a first aliquot from a first sample well, (ii) determining a count of the first plurality of events associated with the first aliquot, (iii) determining whether the count of the first plurality of events is below a minimum count tolerance and (iv) (a) if the count of the first plurality of events is below the minimum count tolerance, then determining that the flow cytometer has a clog, (b) if the count of the first plurality of events is equal to or above the minimum count tolerance, then detecting a second plurality of events associated with a second aliquot from a second sample well.

A MEMS-based particle manipulation system which uses a particle manipulation stage and optical confirmation of the manipulation. The optical confirmation may be camera-based, and may be used to assess the effectiveness or accuracy of the particle manipulation stage. In one exemplary embodiment, the particle manipulation stage is a microfabricated, fluid valve, which sorts a target particle from non-target particles in a fluid stream. The optical confirmation stage is disposed in the microfabricated fluid channels at the input and output of the microfabricated sorting valve. Deep learning techniques are brought to bear on the camera output to increase speed, accuracy and reliability. A calibration device may make use of a pixelated emitter, an optical filter and a spectral separator to mimic the fluorescent output of a biological sample tagged with fluorescent emitters as used in the particle sorting system. This calibration device may allow quick and easy calibration of the optical system for improved speed and performance.