Features for a quantitative biological data analysis system are described. Index sort analysis can be performed using sort electronics on a flow cytometer or other particle analysis system or after an experiment using a workstation. The sort electronics on the cytometer or other particle analysis system may generate sort decision information for the events. The sort decision information may be transmitted from the sort electronics to the workstation that may differ from the sort identified by the workstation. The feature fuse the gate information with the sorting decision information to provide an accurate representation of the sorting.

The present invention is to facilitate analysis of a plurality of analysis items. A cell analysis method for analyzing cells is provided in which data for analysis of cells contained in a sample are generated, and an artificial intelligence algorithm to be the input destination of the generated analysis data is selected from among a plurality of artificial intelligence algorithms, data indicating the properties of the cells are generated based on the analysis data via the artificial intelligence algorithm.

A method reduces false-positive particle counts detected by an interference particle sensor module, which has a laser and a light detector. The method including: emitting laser light; providing a high-frequency signal during the emission of the laser light, a modulation frequency of the high-frequency signal being between 10-500 MHz; detecting an optical response by the light detector in reaction to the emitted laser light while providing the high-frequency signal, which is arranged such that a detection signal caused by a macroscopic object positioned between a first and second distance is reduced in comparison to a detection signal caused by the macroscopic object at the same position without providing the high-frequency signal. The high-frequency signal is provided to a tuning structure of the particle sensor module which is arranged to modify a resonance frequency of an optical resonator comprised by the laser sensor module upon reception of the high-frequency signal.

A microfluidic biochip device includes a housing including at least one microchannel defining at least one cell adhesion region. The at least one cell adhesion region is provided with at least one capturing agent that adheres a cell of interest to a surface of the at least one microchannel when a fluid sample containing cells is passed through the at least one microchannel. An imaging system measures the morphology and/or quantity of cells of interest adhered by the at least one capturing agent to the surface of the at least one microchannel when the fluid sample is passed therethrough.

Aspects of the present disclosure include methods for determining absolute count of particles in a sample in a flow cytometer. Methods according to certain embodiments include introducing a bubble into a flow stream propagating a sample having particles, irradiating the flow stream with a light source, detecting light from the irradiated particles with a photodetector, detecting the presence of the bubble in the flow stream with the photodetector and determining the absolute count of the particles in the sample based on data signals generated in response to light detected from the irradiated particles, a data signal generated when the bubble is introduced into the flow stream and data signals generated in response to the detected bubble. Systems (e.g., flow cytometers) having a light source, a light detection system and a sample line that is configured to introduce a bubble into a flow stream for practicing the subject methods are also described. Non-transitory computer readable storage medium is also provided.

A time measurement device for calculating a time from an input of a first trigger signal to an input of a second trigger signal as a measured time includes a start gate configured to generate a start signal, a stop gate configured to generate a stop signal, a TDC circuit configured to generate a digital code corresponding to the time from an input of a start signal to an input of a stop signal, a delay circuit configured to delay an input of at least one of the start signal and the stop signal to the TDC circuit by a predetermined delay time, and a control unit configured to calculate a measured time on the basis of a plurality of digital codes generated by the TDC circuit, wherein the time delay unit selects at least two delay times.

Disclosed are methods of diagnosing disease, such as clinically significant prostate cancer, in a patient. Also disclosed are methods for identifying a disease signature. The methods involve microflow (FCM) cytometry to identify particle phenotypes and then using machine learning to determine whether the patient has the disease of interest or the particle phenotypes of a particle disease. The FCM analysis workflow disclosed herein helps identify the most clinically useful information within FCM data which may be overlooked by conventional gating analysis.

Systems and methods that provide a multitude of new ways to interact with the data are provided. One purpose of index sort analysis may be to visualize where particular cells are in the plate device and on the bi-variate plots. The user can select particular cell events either by clicking on the plate wells or by clicking and selecting an area of interest on the plots. The corresponding selection of cell events may then then be coordinated to maintain a consistent representation of the events on visualizations (e.g., one or more user interfaces).

Presented is a device for detecting particles, comprising: a first light source positioned for illuminating particles passing through a detection region of the particle detector; a first detector positioned and adapted for detecting light signals from particles illuminated by the first light source in the detection region; a processor configured for determining a type of the particles passing through the detection region from light signals detected by the first detector; characterized in that: the particle detector further comprises: a means for detecting when particles pass through the detection region; and a controller coupled to the means and configured to operate the first light source with a first pulsed current when particles pass through the detection region thereby preserving or extending lifetime of the first light source, and wherein the first pulsed current is selected beyond a continuous current damage threshold of the first light source thereby increasing light output of the first light source.

An exemplary mobile impedance-based flow cytometer is developed for the diagnosis of sickle cell disease. The mobile cytometer may be controlled by a computer (e.g., smartphone) application. Calibration of the portable device may be performed using a component of known impedance value. With the developed portable flow cytometer, analysis may be performed on two sickle cell samples and a healthy cell sample. The acquired results may subsequently be analyzed to extract single-cell level impedance information as well as statistics of different cell conditions. Significant differences in cell impedance signals may be observed between sickle cells and normal cells, as well as between sickle cells under hypoxia and normoxia conditions.