Abstract:
Some embodiments of the methods provided herein relate to sample analysis and particle characterization methods. Some such embodiments include receiving, from a particle analyzer, measurements for a first portion of particles associated with an experiment. Some embodiments also include generating a tree representing groups of related particles based at least in part on the measurements, wherein the tree includes at least three groups. Some embodiments also include generating a measure of relatedness between a first group and a second group of the tree based at least in part on the measurements. Some embodiments also include and configuring the particle analyzer to classify a subsequent particle associated with the experiment with the first group real-time, wherein the subsequent particle is not included in the first portion of particles. Some embodiments also include sorting the subsequent particle.
Abstract:
Methods and systems for efficient contour and gating in flow cytometry are provided. Event data is compressed to reduce the number of points needed to represent polygon contours for the event data. Selection of a level within the contour then causes the generation of a gate. This allows limited resource devices, such as touchscreen wireless devices, to render and gate flow cytometry data in a resource efficient manner.
Abstract:
A cell sorting system that automatically generates a sorting strategy based on examples of target events provided by an operator. The target events can be selected using measurements ranging from traditional flow cytometry measurements to derived measurements that are computationally expensive to complex measurements such as images.
Abstract:
Methods and systems are disclosed for controlling a particle analyzer based at least in part on a generated entrainment factor for a sample. The features include flowing a sample with a series of particles through the particle analyzer, 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 particle analyzer maybe performed based on the indicated entrainment factor such as adjusted sorting bias.
Abstract:
Methods and systems for efficient contour and gating in flow cytometry are provided. Event data is compressed to reduce the number of points needed to represent polygon contours for the event data. Selection of a level within the contour then causes the generation of a gate. This allows limited resource devices, such as touchscreen wireless devices, to render and gate flow cytometry data in a resource efficient manner.
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.