Methods of evaluating particle attributes in a sample fluid subjected to flow cytometry investigation in a flow cytometer instrument, methods of processing time series signal data traces output by a flow cytometer instrument, and a flow cytometer system are provided. In the methods and systems, data points comprising time series signal data traces corresponding with detection during the flow cytometry investigation of light from the sample fluid in one or more wavelength ranges indicative of the presence of one or more particle attributes in the sample fluid are batch-processed using a batch-specific signal peak threshold determined as a function of a batch-specific noise characteristic to identify signal peaks in the batch of data points indicative of the presence of the one or more particle attributes in the sample fluid.

A particle counting apparatus is provided that includes: a droplet discharger configured to discharge a droplet containing at least one luminescent particle capable of emitting light upon receiving light; a light irradiator configured to irradiate the droplet discharged by the droplet discharger with light; at least one light receiver configured to receive light emitted by the at least one luminescent particle irradiated with the light emitted by the light irradiator; and circuitry configured to count luminescent particles contained in the droplet based on the light received by the at least one light receiver, the circuitry being configured to measure a presence or absence of the luminescent particles contained in the droplet; and to measure a number of the luminescent particles contained in the droplet.

Methods of evaluating particle attributes in a sample fluid subjected to flow cytometry investigation in a flow cytometer instrument, methods of processing time series signal data traces output by a flow cytometer instrument, and a flow cytometer system are provided. In the methods and systems, data points comprising time series signal data traces corresponding with detection during the flow cytometry investigation of light from the sample fluid in one or more wavelength ranges indicative of the presence of one or more particle attributes in the sample fluid are batch-processed using a batch-specific signal peak threshold determined as a function of a batch-specific noise characteristic to identify signal peaks in the batch of data points indicative of the presence of the one or more particle attributes in the sample fluid.

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.

Provided is a cell detection method which makes it possible to effectively and accurately perform gene analysis only on target cells. The cell detection method includes a sorting step of obtaining first information derived from cells in a sample solution by using a flow cytometry method and sorting target cells into a container having arrays of wells each having an opening based on the first information, an imaging step of imaging the cells sorted into the container, and a determination step of obtaining second information derived from cells based on the image of the cells captured by the imaging step and determining cells to be analyzed from the sorted cells.

Provided is a method for producing a cell contained base, the method being capable of providing a cell contained base highly accurately controlled in number of nucleic acid molecules contained in a low-concentration nucleic acid standard sample, the method including a liquid droplet discharging step of discharging a cell suspension in the form of a liquid droplet with a liquid droplet discharging unit onto a base including at least one cell contained region; a cell number counting step of counting a number of cells contained in the liquid droplet with a plurality of sensors from two or more directions while the liquid droplet is flying into the cell contained region; and a liquid droplet landing step of landing the liquid droplet in the at least one cell contained region in a manner that a predetermined number of cells are located in the at least one cell contained region.

Systems and methods for flowing particles, such as biological entities, in a fluidic channel(s) are generally provided. In some cases, the systems described herein are designed such that a single particle may be isolated from a plurality of particles and flowed into a fluidic channel (e.g., a microfluidic channel) and/or collected e.g., on fluidically isolated surfaces. For example, the single particle may be present in a plurality of particles of relatively high density and the single particle is flowed into a fluidic channel, such that it is separated from the plurality of particles. The particles may be spaced within a fluidic channel so that individual particles may be measured/observed over time. In certain embodiments, the particle may be a biological entity. Such article and methods may be useful, for example, for isolating single cells into individual wells of multi-well cell culture dishes (e.g., for single-cell analysis).

A method of choosing which undesired cell to destroy in a multi-cell fluorescent event includes detecting fluorescence of cells, converting photons detected in the fluorescence into an analog voltage output signal, and identifying at least two discernable peaks associated with the cells. By looking solely at properties measured within the multi-cell fluorescent event, a decision of which cell to target for elimination can be made. Using this method with large population sizes can result in an effective sex skewed product. The sex skewed product can, for example, be formed from bull semen which is then later used to inseminate cows which results in an increased likelihood of giving birth to female cattle.

Techniques for identifying types of cells present in a biological sample using flow cytometry performed using a panel of markers and multiple machine learning models. The techniques include: obtaining flow cytometry data for the biological sample, the biological sample previously-obtained from a subject and comprising a plurality of cells, the flow cytometry data including flow cytometry measurements obtained during respective flow cytometry events, the flow cytometry events including a subset of events corresponding to cells in the biological sample being measured by the flow cytometry platform; and identifying types of cells of the plurality of cells using the multiple machine learning models to obtain a respective plurality of cell types.

Systems and methods for detecting and processing signals from particles. In an exemplary method, particles may be passed through a zone of a channel, while the zone is irradiated with light. Interaction of the light with the particles may deflect light and induce photoluminescence. A deflection signal and a photoluminescence signal may be detected from the zone. Particle waveforms may be identified in the deflection signal. At least a subset of the particle waveforms may be double-peak waveforms including a pair of peaks corresponding to a particle entering and exiting the zone. Amplitudes may be obtained from the photoluminescence signal. The amplitudes may correspond to respective particles and their particle waveforms, and at least a subset of the amplitudes may correspond to the double-peak waveforms. Individual particles may be assigned as positive or as negative for an analyte based on the corresponding amplitudes.