METHODS AND SYSTEMS FOR ASSESSING SAMPLE BEHAVIOR IN A FLOW CYTOMETER
First Claim
1. A method for generating an entrainment factor for a flow cytometer sample, the method comprising:
- flowing the sample comprising a series of particles through the flow cytometer wherein each particle is associated with a signal;
detecting a series of events with a detection system in a first time interval from a stream formed from the flow cytometer;
calculating an expected frequency of events in the first time interval based on a characterizing distribution;
measuring an observed frequency of events within a second time interval, wherein the second time interval is within the first time interval; and
generating the entrainment factor based at least in part on a ratio of the observed frequency to the expected frequency.
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Abstract
Methods and systems are disclosed for generating an entrainment factor in a flow cytometry sample. The methods comprise flowing a sample with a series of particles through the flow cytometer, detecting events and calculating an expected frequency of those events based on a distribution, such as a Poisson distribution, and measuring an observed frequency of particle events. An entrainment factor may be generated from a ratio of observed event frequency to expected event frequency. Further adjustment to the flow cytometer maybe performed based on the indicated entrainment factor such as adjusted sorting bias.
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Citations
20 Claims
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1. A method for generating an entrainment factor for a flow cytometer sample, the method comprising:
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flowing the sample comprising a series of particles through the flow cytometer wherein each particle is associated with a signal; detecting a series of events with a detection system in a first time interval from a stream formed from the flow cytometer; calculating an expected frequency of events in the first time interval based on a characterizing distribution; measuring an observed frequency of events within a second time interval, wherein the second time interval is within the first time interval; and generating the entrainment factor based at least in part on a ratio of the observed frequency to the expected frequency. - View Dependent Claims (2, 3, 10, 12, 13, 14)
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4. A method for generating sample behavior information for a flow cytometer sample, the method comprising:
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flowing the sample comprising a series of particles through the flow cytometer wherein each particle is associated with an event and the particles are distributed in a fluidic stream; detecting a series of events and a corresponding arrival time for each event; determining a series of inter-arrivals times relative to a previous event within the series and an associated probability of occurrence of the inter-arrival times relative to a length of a specified time interval; calculating an expected frequency of events over the series of inter-arrival times for a portion of the fluidic stream having a length equal to the specified time interval, said calculating based on a predetermined distribution; measuring an observed frequency of events over the series of inter-arrival times within the portion of the fluidic stream; and generating the sample behavior information based at least in part on a ratio of the observed frequency to the expected frequency of events over the series of inter-arrival times for the portion of the fluidic stream. - View Dependent Claims (5, 6, 7, 8, 9, 11)
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15. A flow system for providing a sample entrainment factor, the system comprising:
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a fluidics system comprising a sample tube and a moving fluid column within the sample tube in which particles of a sample move along a common sample path; a detection system for collecting a signal from each particle as it passes one or more detection stations along the common sample path, each signal being assigned a signal value to form a data point for each particle, the detection system collecting a succession of such data points in a first time interval; and a control system operationally associated with the fluidics system, the control system configured to; generate a calculated signal frequency for at least a portion of the first time interval based on a Poisson distribution and the number of data points collected by the detection system during the first time interval; and generate an experimental signal frequency based on the number of data points in the portion of the first time interval; compare the experimental signal frequency with that of a calculated signal frequency or a predetermined signal frequency; and provide an entrainment factor for the sample, said entrainment factor based on said comparing. - View Dependent Claims (16, 17, 18, 19, 20)
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Specification