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:
Dec. 11, 2018

Filed:

Mar. 01, 2018
Applicant:

Illumina, Inc., San Diego, CA (US);

Inventors:

Robert Langlois, San Diego, CA (US);

Paul Belitz, San Diego, CA (US);

Assignee:

ILLUMINA, INC., San Diego, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 5/00 (2006.01); G06T 3/00 (2006.01); H04N 1/387 (2006.01); G01B 11/16 (2006.01); G06K 9/32 (2006.01);
U.S. Cl.
CPC ...
G06T 5/006 (2013.01); G01B 11/16 (2013.01); G06K 9/32 (2013.01); G06T 3/0006 (2013.01); H04N 1/387 (2013.01);
Abstract

Techniques are described for dynamically correcting image distortion during imaging of a patterned sample having repeating spots. Different sets of image distortion correction coefficients may be calculated for different regions of a sample during a first imaging cycle of a multicycle imaging run and subsequently applied in real time to image data generated during subsequent cycles. In one implementation, image distortion correction coefficients may be calculated for an image of a patterned sample having repeated spots by: estimating an affine transform of the image; sharpening the image; and iteratively searching for an optimal set of distortion correction coefficients for the sharpened image, where iteratively searching for the optimal set of distortion correction coefficients for the sharpened image includes calculating a mean chastity for spot locations in the image, and where the estimated affine transform is applied during each iteration of the search.


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