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.

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 invention provides a method for determining a success or failure of a measurement of a target particle contained in a measurement sample. The method includes: detecting the target particle and other particle other than the target particle in the measurement sample; and determining the success or failure of the measurement of the target particle based on at least a detection result of the other particle.

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.

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.

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 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.

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 set of embodiments relates to systems and methods for diagnosing a fluidics system and determining data processing settings for a flow cytometer. Systems and methods for diagnosing a fluidics system require accurate measurement and interpretation of fluctuations within the fluid delivery system. Systems and methods for determining data processing settings require an accurate measurement of peak times among various channels and being able to adjust time delay settings wherein peak time is the measurement of time elapsed from the beginning of the data collection time window to the highest peak in the window.

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.