Patents by Inventor Joseph Trotter

Joseph Trotter has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11002658
    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.
    Type: Grant
    Filed: April 22, 2019
    Date of Patent: May 11, 2021
    Assignee: Becton, Dickinson and Company
    Inventors: Joseph Trotter, Paul Barclay Purcell
  • Patent number: 10753848
    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.
    Type: Grant
    Filed: September 20, 2018
    Date of Patent: August 25, 2020
    Assignee: BECTON, DICKINSON AND COMPANY
    Inventors: Joseph Trotter, Christopher Wolf
  • Patent number: 10739248
    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.
    Type: Grant
    Filed: November 2, 2018
    Date of Patent: August 11, 2020
    Assignee: BECTON, DICKINSON AND COMPANY
    Inventors: Joseph Trotter, Sujata Iyer
  • Publication number: 20200126639
    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.
    Type: Application
    Filed: October 8, 2019
    Publication date: April 23, 2020
    Inventors: Jonathan Lin, Joseph Trotter, Keegan Owsley
  • Publication number: 20200072727
    Abstract: Non-parametric transforms such as t-distributed stochastic neighbor embedding (tSNE) are used to analyze multi-parametric data such as data derived from flow cytometry or other particle analysis systems and methods. These transforms may be included for dimensionality reduction and identification of subpopulations (e.g., gating). By nature, non-parametric transforms cannot transform new observations without training a new transformation based on the entire dataset including the new observations. The features described parameterize non-parametric transforms using a neural network thereby allowing a small training dataset to be transformed using non-parametric techniques. The training dataset may then be used to generate an accurate parametric model for assessing additional events in a manner consistent with the initial events.
    Type: Application
    Filed: August 30, 2019
    Publication date: March 5, 2020
    Inventors: Jonathan LIN, Joseph TROTTER, Keegan OWSLEY
  • Publication number: 20190331586
    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.
    Type: Application
    Filed: April 22, 2019
    Publication date: October 31, 2019
    Inventors: Joseph Trotter, Paul Barclay Purcell
  • Publication number: 20190072478
    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.
    Type: Application
    Filed: November 2, 2018
    Publication date: March 7, 2019
    Inventors: Joseph Trotter, Sujata Iyer
  • Patent number: 10190963
    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.
    Type: Grant
    Filed: January 31, 2014
    Date of Patent: January 29, 2019
    Assignee: Becton, Dickinson and Company
    Inventors: Joseph Trotter, Sujata Iyer
  • Publication number: 20190017921
    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.
    Type: Application
    Filed: September 20, 2018
    Publication date: January 17, 2019
    Inventors: Joseph Trotter, Christopher Wolf
  • Patent number: 10088407
    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.
    Type: Grant
    Filed: May 14, 2014
    Date of Patent: October 2, 2018
    Assignee: Becton, Dickinson and Company
    Inventors: Joseph Trotter, Christopher Wolf
  • Publication number: 20140343897
    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.
    Type: Application
    Filed: May 14, 2014
    Publication date: November 20, 2014
    Applicant: BECTON, DICKINSON AND COMPANY
    Inventors: Joseph Trotter, Christopher Wolf
  • Publication number: 20140216128
    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.
    Type: Application
    Filed: January 31, 2014
    Publication date: August 7, 2014
    Applicant: BECTON DICKINSON AND COMPANY
    Inventors: Joseph Trotter, Sujata Iyer