Title:
微生物の分光測定解析のための方法
Document Type and Number:
Japanese Patent JP7100097
Kind Code:
B2
Abstract:
The invention relates to a method for the spectrometric characterization of microorganisms, comprising: providing a test microorganism; acquiring spectrometric measurement data from the test microorganism under potential exposure to variance that is not based on taxonomic classification; selecting a classifier which is trained to determine the identity of a microorganism on a second taxonomic level; and applying the classifier to the measurement data in order to determine the identity of the test microorganism on the second taxonomic level, wherein the classifier is variance-conditioned in such a way that it largely or completely masks out the effect of variance in the characterization of the test microorganism on the second taxonomic level.
Inventors:
Norman Maoda
Application Number:
JP2020169484A
Publication Date:
July 12, 2022
Filing Date:
October 07, 2020
Export Citation:
Assignee:
Bruker Dartonix Gem Beherund Co. Carge
International Classes:
G01N21/35; C12Q1/04; G01N33/48; G01N33/483
Domestic Patent References:
| JP2012135240A | ||||
| JP2017502658A | ||||
| JP2018179991A |
Foreign References:
| US20020138210 | ||||
| US20160289729 |
Other References:
YUSUF, Nurlisa et al.,In-vitro diagnosis of single and poly microbial species targeted for diabetic foot infection using e-nose technology,BMC Bioinfomatics,2015年,Vol.16, Article number:158,p.1-12
MU, Ke-Xin et al.,Near infrared spectroscopy for classification of bacterial pathogen strains based on spectral transforms and machine learning,Chemometrics and Intelligent Laboratory Systems,2018年,Vol.179,p.46-53
MU, Ke-Xin et al.,Near infrared spectroscopy for classification of bacterial pathogen strains based on spectral transforms and machine learning,Chemometrics and Intelligent Laboratory Systems,2018年,Vol.179,p.46-53
Attorney, Agent or Firm:
Patent Business Corporation Ai Patent Office