Systems and methods for cluster matching across samples and guided visualization of multidimensional cytometry data

US10685045B2 · kind B2 · utility

Assignee

• The Board of Trustees of the Leland Stanford Junior University · US

Inventors

• Darya Y. Orlova · Menlo Park, US
• Stephen Meehan · Burnaby, CA
• Wayne Moore · San Francisco, US
• Guenther Walther · Mountain View, US
• David R. Parks · San Francisco, US
• Leonore A. Herzenberg · Stanford, US
• Connor Meehan · Richardson, US

Key dates

• Filing date: Jul 17, 2017
• Grant date: Jun 16, 2020
• Expiry date: Mar 14, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G01N2015/1477
• WIPO field: Measurement
• WIPO sector: Instruments

Abstract

Some embodiments provide methods, systems and computer-readable media that employ adaptive binning and dissimilarity scores based on a quadratic form distance for multidimensional data for matching clusters in data corresponding to different sample. Some embodiments provide methods, systems and computer-readable media for rendering a first interactive display including a two-dimensional plot of at least a portion of a multidimensional data set and a corresponding second interactive display including a plurality of single parameter charts or histograms, each displaying information corresponding to one-dimensional measurements of a different parameter in the multidimensional data set.