G01N2015/1461

Methods for detecting events in a flow cytometer

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.

FLOW CYTOMETER SIGNAL PEAK IDENTIFICATION EMPLOYING DYNAMIC THRESHOLDING
20180136108 · 2018-05-17 ·

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.

Methods for detecting particles present in a cell composition

Provided are methods of detecting, assessing or determining the presence or absence of particles, such as bead particles, present in a cell composition. Also provided are articles of manufacture and kits for use in the methods.

Flow cytometer signal peak identification employing dynamic thresholding

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.

KILL EVENT OPTIMIZATION

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.

Methods for Detecting Coincident Sample Events, and Devices and Systems Related Thereto
20170276593 · 2017-09-28 ·

In some aspects of the present disclosure, methods of detecting coincident sample events are provided. The methods include receiving a first set of signal data representing detected signals from a flow cytometer system; detecting, with a peak detection module, one or more peaks within the signal data; and cancelling, with a successive cancellation module, one or more individual sample events from the signal data at corresponding time indexes, wherein the cancellation of more than one individual sample event is successive. Devices and system related thereto are also provided.

FLOW CYTOMETER SIGNAL PEAK IDENTIFICATION EMPLOYING DYNAMIC THRESHOLDING

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.

DETECTION AND SIGNAL PROCESSING SYSTEM FOR PARTICLE ASSAYS

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.

Particle Detection Methods and Systems for Practicing Same
20170176317 · 2017-06-22 ·

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 for detecting coincident sample events, and devices and systems related thereto
09638623 · 2017-05-02 · ·

In some aspects of the present disclosure, methods of detecting coincident sample events are provided. The methods include receiving a first set of signal data representing detected signals from a flow cytometer system; detecting, with a peak detection module, one or more peaks within the signal data; and cancelling, with a successive cancellation module, one or more individual sample events from the signal data at corresponding time indexes, wherein the cancellation of more than one individual sample event is successive. Devices and system related thereto are also provided.