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First published August 06, 2025 Application Aachen patent G – Physics

PARTICLE CHARACTERISTIC DETERMINATION SYSTEM AND METHOD

Espacenet Family 89772185

Abstract

A system for particle characteristic determination comprising a sample providing unit, configured to provide a sample comprising a plurality of particles, an obtaining unit, configured to obtain a light spectra data comprising light spectra of the sample, a data processing unit comprising a data compression unit and a particle characteristic determination unit, wherein the data compression unit is configured to compress the light spectra data using a predetermined Nyström extension in a diffusion maps algorithm configured to provide diffusion map coordinates, wherein the particle characteristic determination unit is configured to receive the diffusion map coordinates as input and to determine one or more characteristics of the particles comprised in the sample with one or more non-linear machine learning methods by using the diffusion map coordinates in at least one of the one or more non-linear machine learning methods as input and providing the one or more particle characteristics as output.

Inventors 5

  1. Luise F. Kaven Aachen author as filed: Kaven, Luise
  2. Alexander Mitsos Aachen author as filed: Mitsos, Alexander
  3. Johannes M.M. Faust Aachen author as filed: Faust, Johannes
  4. Kevrekidis, Ioannis
  5. Koronaki, Eleni

Inventors are linked to an Aachen author when surname and first name match exactly one author.

Applicants

  • Rheinisch-Westfälische Technische Hochschule Aachen, Abgekürzt RWTH Aachen, Körperschaft Des Öffentlichen Rechts RWTH Aachen University
  • Université du Luxembourg
  • The Johns Hopkins University
  • Univ Luxembourg
  • Univ Johns Hopkins

Cited papers 1 in the database

Non-patent literature as cited (7)
  • - KATZ, ORI ET AL.: "Alternating diffusion maps for multimodal data fusion.", INFORMATION FUSION, vol. 45, 2019, pages 346 - 360, XP085419753, DOI: 10.1016/j.inffus.2018.01.007
  • - BUCHMAN S M ET AL: "High-dimensional density estimation via SCA: An example in the modelling of hurricane tracks", STATISTICAL METHODOLOGY, ELSEVIER, AMSTERDAM, NL, vol. 8, no. 1, 1 January 2011 (2011-01-01), pages 18 - 30, XP027535586, ISSN: 1572-3127, [retrieved on 20090717]
  • - MOHAMED-ALI BELABBAS ET AL: "On landmark selection and sampling in high-dimensional data analysis", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 25 June 2009 (2009-06-25), XP080331052, DOI: 10.1098/RSTA.2009.0161
  • - FRANK TOMPKINS ET AL: "Image analysis with regularized Laplacian eigenmaps", 2010 17TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2010); 26-29 SEPT. 2010; HONG KONG, CHINA, IEEE, PISCATAWAY, NJ, USA, 26 September 2010 (2010-09-26), pages 1913 - 1916, XP031813359, ISBN: 978-1-4244-7992-4
  • - MISHNE GAL ET AL: "Diffusion nets", APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS, ACADEMIC PRESS INC, US, vol. 47, no. 2, 1 September 2019 (2019-09-01), pages 259 - 285, XP085735280, ISSN: 1063-5203, [retrieved on 20170831], DOI: 10.1016/J.ACHA.2017.08.007
  • - KATZ ORI ET AL: "Alternating diffusion maps for multimodal data fusion", INFORMATION FUSION, ELSEVIER, US, vol. 45, 6 January 2018 (2018-01-06), pages 346 - 360, XP085419753, ISSN: 1566-2535, DOI: 10.1016/J.INFFUS.2018.01.007
  • - ORI KATZ ET AL: "Diffusion-based nonlinear filtering for multimodal data fusion with application to sleep stage assessment", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 13 January 2017 (2017-01-13), XP081423308

Cited patents 5

WO2017053592A1 WO2022260539A1 EP4068152A1 WO2023144395A1 CN114337849A