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.

The present disclosure relates to a method for analyzing one or more parameters of a viral nucleic acid vector, and belongs to the field of biological technology. The method may optionally comprise preparing a particle size standard curve and/or a concentration standard solution for the viral nucleic acid vector to measure the particle size and the concentration thereof. The method comprises preparing a specific target recognition reagent conjugated to a fluorescence labeling reagent for the parameters of the viral nucleic acid vector, detecting a sample by a flow particle analyzer, and the like. The method enables a deeper analysis of the viral titer obtained by traditional approaches, yielding more accurate detection results, which is of significant importance for downstream release decisions, process control, and the evaluation of clinical safety.

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.

There is provided a system and method of selectively monitoring ions in a fluid medium using a graphene sensor, the method comprising the step of adjusting an operating frequency of the graphene sensor to a particular resonant frequency for targeting resonance of specific ions in the fluid medium. In the proposed method, dispersive effect of the fluid medium is used to tune the graphene sensor to a desired frequency, thereby obtaining resonance response for specific ions in the fluid medium. Also, the monitoring of a specific ion in the fluid medium is unaffected by presence of a plurality of other ions in the said fluid medium.

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.

An example method includes receiving first spectral data in a frequency domain, the first spectral data including a set of spectral metrics, the first spectral data being from an apparatus that obtains the set of spectral metrics based on interactions of electromagnetic radiation with a sample, transforming the first spectral data from the frequency domain to a time domain, removing background noise from the first spectral data in the time domain to create enhanced spectral data, transforming the enhanced spectral data to the frequency domain, detecting a particular particle of interest in the sample based on a comparison of the enhanced spectral data in the frequency domain to a spectral signature of the particular particle of interest, and providing the particle of interest detection notification.