Aspects of the present disclosure include methods for characterizing particles of a sample in a flow stream. Methods according to certain embodiments include detecting light from a sample having cells in a flow stream, generating an image of an object in the flow stream in an interrogation region and determining whether the object in the flow stream is an aggregate based on the generated image. Systems having a processor with memory operably coupled to the processor having instructions stored thereon, which when executed by the processor, cause the processor to generate an image of an object in a flow stream and to determine whether the object is an aggregate are also described. Integrated circuit devices (e.g., field programmable gate arrays) having programming for practicing the subject methods 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.

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 falls within the field of medical apparatuses. Disclosed are a method and a device for identifying platelet aggregation, and a flow cytometer, which are used for accurately giving an alarm about a platelet aggregation during blood cell analysis. The method comprises: detecting a pre-treated blood sample by using a flow cytometry technique so as to acquire scattered light signals and fluorescent light signals of the blood sample, wherein the scattered light signals are forward scattered light signals or side scattered light signals; differentiating between ghost particles and white blood cells by using a fluorescence-scattered light diagram generated by the scattered light signals and the fluorescent light signals of the blood sample; and counting a number of particles in a ghost characteristic region in the fluorescence-scattered light diagram of the blood sample and determining whether the number of particles exceeds a threshold value, and outputting a warning of platelet aggregation if the number of particles exceeds the threshold value.

Systems and methods are provided for counting particles in a fluid flow. In an aspect, coordinates of particles are obtained from video data of particles in a fluid, the video data made up of a sequence of image frames. The particle positions are linked in each pair of consecutive image frames of the video data. The linked particle positions are used to calculate particle trajectories through sequential image frames of the video data, and the particles are counted based on the particle trajectory. In another aspect, the particle positions within each image frame are transformed to estimated positions within a common coordinate frame. The estimated particle positions of a particle are grouped into a cluster center, and the particle count is calculated based on the cluster centers.

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.

A biological imaging analyzer is described comprises a staining module configured to stain cells of a biological sample so as to produce stained cells. The analyzer also comprises a lighting module configured to illuminate the stained cells, the lighting module comprising a plurality of pulsed lights. The analyzer further comprises an imaging module configured to capture images of the stained cells. A method of flow imaging a biological sample comprises flowing the biological sample including the stained cells through an image capture region of a flowcell. The method also comprises utilizing the lighting module to illuminate the stained cells at the image capture region with the plurality of pulsed lights. The method further comprises capturing images of the stained cells at the image capture region with the imaging module.

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.

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 characterizing particles of a sample in a flow stream. Methods according to certain embodiments include detecting light from a sample having cells in a flow stream, generating an image of an object in the flow stream in an interrogation region and determining whether the object in the flow stream is an aggregate based on the generated image. Systems having a processor with memory operably coupled to the processor having instructions stored thereon, which when executed by the processor, cause the processor to generate an image of an object in a flow stream and to determine whether the object is an aggregate are also described. Integrated circuit devices (e.g., field programmable gate arrays) having programming for practicing the subject methods are also provided.