Methods of classifying flow cytometer data are provided. Methods of interest include receiving a first gate and flow cytometer data, expanding the first gate to generate a second gate, and determining sets of flow cytometer data encompassed by each of the first gate and the second gate to classify the flow cytometer data. In embodiments, methods also involve recording a subset of the classified flow cytometer data and optionally adjusting the first and/or second gates based on the recorded data. In some cases, the subject methods include sorting particles associated with the classified flow cytometer data based on the first and second gates. Systems and computer-readable storage media for practicing the invention are also provided.

An information processing system and an information processing apparatus capable of reducing an amount of data to be transferred from a local environment to a cloud environment are provided. The information processing system according to the embodiment includes a first information processing apparatus (100) and a second information processing apparatus (200), the first information processing apparatus includes a first processing unit (103) configured to generate compressed data by irradiating a measurement target dyed with a plurality of fluorescent dyes with light and performing compression processing on measurement data measured by the irradiation, using reference data for each of the fluorescent dyes used for dyeing the measurement target; and a transmission unit (104) configured to transmit the compressed data to the second information processing apparatus, and the second information processing apparatus includes a second processing unit (203) configured to generate restored data by performing restoration processing using the reference data and the compressed data received from the first information processing apparatus.

Disclosed herein include systems, devices, and methods for determining a gating strategy. An acquisition system can cause a particle analyzer to collect parameter measurements of some particles of a sample. An analysis system can receive the parameter measurements and determine a gating strategy from the parameter measurements. The acquisition can collect measurements of some or all of the remaining particles of the sample using the gating strategy determined by the analysis system.

Methods for classifying fluorescent flow cytometer data are provided. In some instances, methods include processing the flow cytometer data with a supervised algorithm configured to cluster the fluorescent flow cytometer data into distinct populations according to the relationship of data points to relevant threshold values. In embodiments, methods include determining a measure of spillover spreading by calculating spillover spreading coefficients and combining them in a spillover spreading matrix. In some embodiments, populations of fluorescent flow cytometer data are adjusted to subtract the magnitude of spillover spreading. In embodiments, spillover spreading adjusted populations are partitioned after potential partitions are evaluated relative to the threshold values. In embodiments, partitioned populations of fluorescent flow cytometer data are classified (i.e., phenotyped) according to a hierarchy. Systems and computer-readable media for classifying fluorescent flow cytometer data are also provided.

Disclosed herein include systems, devices, methods, and spillover editor for displaying and editing spillover values. A view of a spillover editor can comprise a triangular grid of rows and columns, representing flourophores, each comprising at least one display area and two spillover values. After receiving an adjusted spillover value, an adjusted view of the spillover editor can comprise adjusted plots determined using the adjusted spillover value.

A blood cell analysis method and a blood cell analyzer are provided. In the method and analyzer, characteristic information of white blood cell fragments is obtained based on side scattered light information and fluorescence information, characteristic information of platelets is obtained based on forward scattered light information and fluorescence information and then a count value for the platelets is acquired based on the characteristic information of the platelets and the characteristic information of the white blood cell fragments. The present invention can avoid the influence of the white blood cell fragments on the platelet counting, thereby ensuring the accuracy of the platelet counting without increasing costs.

Disclosed herein include systems, devices, and methods for determining a gating strategy. An acquisition system can cause a particle analyzer to collect parameter measurements of some particles of a sample. An analysis system can receive the parameter measurements and determine a gating strategy from the parameter measurements. The acquisition can collect measurements of some or all of the remaining particles of the sample using the gating strategy determined by the analysis system.

Devices and methods for measuring analytes and target particles in a sample are disclosed. In some embodiments, the disclosure provides a cartridge device. In other embodiments, the disclosure provides a method of using a cartridge device as disclosed herein for analyzing analytes and target particles in a sample. In further embodiments, the disclosure provides an analyzer including a cartridge device and a control unit device. The control unit device is configured to receive, operate, and/or actuate the cartridge device. In some embodiments, the disclosure provides a method of using an analyzer as disclosed herein for analyzing analytes and target particles in a sample.

Methods for classifying fluorescent flow cytometer data are provided. In some instances, methods include processing the flow cytometer data with a supervised algorithm configured to cluster the fluorescent flow cytometer data into distinct populations according to the relationship of data points to relevant threshold values. In embodiments, methods include determining a measure of spillover spreading by calculating spillover spreading coefficients and combining them in a spillover spreading matrix. In some embodiments, populations of fluorescent flow cytometer data are adjusted to subtract the magnitude of spillover spreading. In embodiments, spillover spreading adjusted populations are partitioned after potential partitions are evaluated relative to the threshold values. In embodiments, partitioned populations of fluorescent flow cytometer data are classified (i.e., phenotyped) according to a hierarchy. Systems and computer-readable media for classifying fluorescent flow cytometer data are also provided.

Some embodiments of the methods provided herein relate to sample analysis and particle characterization methods for large, multi-parameter data sets. Frequency difference gating compares at least two different data sets to identify regions in a multivariate space where a frequency of events from a first data set is different than a frequency of events from the second data set according to a defined threshold.