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.

Date of Patent:
Sep. 28, 2021

Filed:

Dec. 10, 2018
Applicant:

Uponor Oyj, Vantaa, FI;

Inventor:

Tero Kesti, Tampere, FI;

Assignee:

UPONOR OYJ, Vantaa, FI;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 7/00 (2017.01); G06T 7/73 (2017.01); G01N 15/14 (2006.01); G01N 33/18 (2006.01); G02B 21/06 (2006.01); G02B 21/36 (2006.01); G03H 1/00 (2006.01); G06T 5/00 (2006.01); G06T 7/60 (2017.01); H04N 5/225 (2006.01); G01N 15/10 (2006.01);
U.S. Cl.
CPC ...
G06T 7/0004 (2013.01); G01N 15/1434 (2013.01); G01N 33/18 (2013.01); G02B 21/06 (2013.01); G02B 21/367 (2013.01); G03H 1/0005 (2013.01); G06T 5/008 (2013.01); G06T 7/60 (2013.01); G06T 7/73 (2017.01); H04N 5/2256 (2013.01); G01N 2015/1093 (2013.01); G01N 2015/1493 (2013.01); G03H 2001/005 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/10056 (2013.01); G06T 2207/20224 (2013.01);
Abstract

A method () utilizes first, second, and third image data originating from first, second, and third digital image frames, respectively, captured sequentially in time of a sample volume containing a fluid possibly comprising moving microscopic objects while illuminating the sample volume by coherent light, each image data comprising, for a moving microscopic object of foreign object present in the sample volume, a hologram pattern (); and comprises automatically generating first differential image data comprising the difference of the first and the second image data, (); automatically generating second differential image data comprising the difference of the second and the third image data (); automatically generating product of difference (POD) image data comprising the product of the first and the second differential image data, (); and automatically detecting the presence of moving microscopic object(s) in the sample volume on the basis of product pattern(s) present in the POD image data ().


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