The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jun. 21, 2022
Filed:
Mar. 07, 2016
Applicant:
Micromass Uk Limited, Wilmslow, GB;
Inventors:
Assignee:
MICROMASS UK LIMITED, Wilmslow, GB;
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H01J 49/04 (2006.01); A61B 90/13 (2016.01); A61B 1/04 (2006.01); A61B 1/273 (2006.01); A61B 5/00 (2006.01); A61B 5/01 (2006.01); A61B 5/0507 (2021.01); A61B 5/055 (2006.01); A61B 6/03 (2006.01); A61B 8/13 (2006.01); A61B 10/00 (2006.01); A61B 10/02 (2006.01); A61B 17/00 (2006.01); A61B 17/32 (2006.01); A61B 18/00 (2006.01); A61B 18/04 (2006.01); A61B 18/14 (2006.01); A61B 18/18 (2006.01); A61B 18/20 (2006.01); A61F 13/38 (2006.01); C12Q 1/02 (2006.01); C12Q 1/04 (2006.01); C12Q 1/18 (2006.01); C12Q 1/24 (2006.01); G01N 1/22 (2006.01); G01N 3/00 (2006.01); G01N 9/00 (2006.01); G01N 27/622 (2021.01); G01N 27/624 (2021.01); G01N 30/72 (2006.01); G01N 33/487 (2006.01); G01N 33/68 (2006.01); G01N 33/92 (2006.01); H01J 49/00 (2006.01); H01J 49/02 (2006.01); H01J 49/06 (2006.01); H01J 49/10 (2006.01); H01J 49/14 (2006.01); H01J 49/16 (2006.01); H01J 49/24 (2006.01); H01J 49/26 (2006.01); G16H 10/40 (2018.01); G16H 15/00 (2018.01); G16H 50/20 (2018.01); G16B 20/00 (2019.01); A61B 1/00 (2006.01); A61B 1/31 (2006.01); A61B 5/145 (2006.01);
U.S. Cl.
CPC ...
H01J 49/049 (2013.01); A61B 1/041 (2013.01); A61B 1/2736 (2013.01); A61B 5/0066 (2013.01); A61B 5/0075 (2013.01); A61B 5/015 (2013.01); A61B 5/055 (2013.01); A61B 5/0507 (2013.01); A61B 6/032 (2013.01); A61B 6/037 (2013.01); A61B 8/13 (2013.01); A61B 10/00 (2013.01); A61B 10/0041 (2013.01); A61B 10/0233 (2013.01); A61B 10/0283 (2013.01); A61B 17/00 (2013.01); A61B 17/320068 (2013.01); A61B 18/00 (2013.01); A61B 18/04 (2013.01); A61B 18/042 (2013.01); A61B 18/14 (2013.01); A61B 18/1445 (2013.01); A61B 18/1815 (2013.01); A61B 18/20 (2013.01); A61B 90/13 (2016.02); A61F 13/38 (2013.01); C12Q 1/025 (2013.01); C12Q 1/04 (2013.01); C12Q 1/18 (2013.01); C12Q 1/24 (2013.01); G01N 1/2202 (2013.01); G01N 3/00 (2013.01); G01N 9/00 (2013.01); G01N 27/622 (2013.01); G01N 27/624 (2013.01); G01N 30/724 (2013.01); G01N 33/487 (2013.01); G01N 33/6848 (2013.01); G01N 33/6851 (2013.01); G01N 33/92 (2013.01); H01J 49/0004 (2013.01); H01J 49/0027 (2013.01); H01J 49/0031 (2013.01); H01J 49/0036 (2013.01); H01J 49/025 (2013.01); H01J 49/0404 (2013.01); H01J 49/044 (2013.01); H01J 49/0409 (2013.01); H01J 49/0422 (2013.01); H01J 49/0445 (2013.01); H01J 49/0459 (2013.01); H01J 49/0463 (2013.01); H01J 49/0468 (2013.01); H01J 49/061 (2013.01); H01J 49/068 (2013.01); H01J 49/10 (2013.01); H01J 49/14 (2013.01); H01J 49/16 (2013.01); H01J 49/164 (2013.01); H01J 49/24 (2013.01); H01J 49/26 (2013.01); A61B 1/00013 (2013.01); A61B 1/31 (2013.01); A61B 5/14542 (2013.01); A61B 2010/0083 (2013.01); A61B 2017/320069 (2017.08); A61B 2018/00577 (2013.01); A61B 2018/00589 (2013.01); A61B 2018/00994 (2013.01); A61B 2218/002 (2013.01); A61B 2218/008 (2013.01); G01N 33/48735 (2013.01); G01N 2001/2223 (2013.01); G01N 2333/195 (2013.01); G01N 2405/00 (2013.01); G01N 2405/04 (2013.01); G01N 2405/08 (2013.01); G01N 2570/00 (2013.01); G01N 2800/26 (2013.01); G16B 20/00 (2019.02); G16H 10/40 (2018.01); G16H 15/00 (2018.01); G16H 50/20 (2018.01);
Abstract
A method of ion imaging is disclosed that includes automatically sampling a plurality of different locations on a sample using a front device which is arranged and adapted to generate aerosol, smoke or vapour from the sample. Mass spectral data and/or ion mobility data corresponding to each location is obtained and the obtained mass spectral data and/or ion mobility data is used to construct, train or improved a sample classification model.