Optical distortion correction for imaged samples

US12100125B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12100125-B2
Application numberUS-202318481442-A
CountryUS
Kind codeB2
Filing dateOct 5, 2023
Priority dateMar 7, 2017
Publication dateSep 24, 2024
Grant dateSep 24, 2024

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Abstract

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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.

First claim

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What is claimed is: 1. A method for sequencing, comprising: providing a flow cell having a plurality of clusters of a biological sample of genomic material; determining spot locations of the plurality of clusters; imaging the flow cell with a plurality of imaging cycle, each of the imaging cycles comprises dividing the imaged flow cell into a plurality of tiles, each of the tiles comprising one or more images of the same region of the biological sample; and calibrating each of the plurality of imaging cycles, wherein calibrating comprises: affine transforming each of the tiles to estimate the spot locations; extracting a signal intensity for each of the plurality of spot locations; correcting the signal intensity for each of the plurality of spot locations; and base calling each of the plurality of spot locations. 2. The method of claim 1 , wherein each of plurality of tiles includes one or more fiducials on the flow cell. 3. The method of claim 1 , wherein the affine transforming comprises mapping of the estimated spot locations selected from a mapping consisting of translation, rotation, and magnification, and combinations thereof. 4. The method of claim 1 , wherein extracting the signal intensity comprises sharpening each of the tiles. 5. The method of claim 1 , wherein correcting the signal intensity comprises spatially normalizing the signal intensity. 6. The method of claim 1 , wherein correcting the signal intensity comprises correcting distortion proximate an edge of a field of view of the imaging cycle. 7. The method of claim 1 , wherein correcting the signal intensity comprises increasing a mean chastity value. 8. The method of claim 1 , wherein base calling each of the plurality of spot locations comprises determining which base corresponds to a highest signal intensity value. 9. The method of claim 1 , wherein base calling each of the plurality of spot locations comprises providing a chastity value. 10. The method of claim 1 , wherein base calling comprises associating each of the plurality of spots locations with one of four distributions from the imaging of the flow cell from one or more color channels. 11. A sequencing instrument, comprising: a stage to receive a flow cell; an objective lens to direct fluorescence from the flow cell to an image sensor; and a processing system coupled to the image sensor, the processing system configured to: provide a flow cell having a plurality of clusters of a biological sample of genomic material; determine spot locations of the plurality of clusters; image the flow cell with a plurality of imaging cycle, each of the imaging cycles comprises dividing the imaged flow cell into a plurality of tiles, each of the tiles comprising one or more images of the same region of the biological sample; and calibrate each of the plurality of imaging cycles, wherein calibrate comprises: affine transforming each of the tiles to estimate the spot locations; extracting a signal intensity for each of the plurality of spot locations; correcting the signal intensity for each of the plurality of spot locations; and base calling each of the plurality of spot locations. 12. The sequencing instrument of claim 11 , wherein each of plurality of tiles includes one or more fiducials on the flow cell. 13. The sequencing instrument of claim 11 , wherein the affine transforming comprises mapping of the estimated spot locations selected from a mapping consisting of translation, rotation, and magnification, and combinations thereof. 14. The sequencing instrument of claim 11 , wherein extracting the signal intensity comprises sharpening each of the tiles. 15. The sequencing instrument of claim 11 , wherein correcting the signal intensity comprises spatially normalizing the signal intensity. 16. The sequencing instrument of claim 11 , wherein correcting the signal intensity comprises correcting distortion proximate an edge of a field of view of the imaging cycle. 17. The sequencing instrument of claim 11 , wherein correcting the signal intensity comprises increasing a mean chastity value. 18. The sequencing instrument of claim 11 , wherein base calling each of the plurality of spot locations comprises determining which base corresponds to a highest signal intensity value. 19. The sequencing instrument of claim 11 , wherein base calling each of the plurality of spot locations comprises providing a chastity value. 20. The sequencing instrument of claim 11 , wherein base calling comprises associating each of the plurality of spots locations with one of four distributions from the imaging of the flow cell from one or more color channels.

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Classifications

  • Methods for sequencing · CPC title

  • Composing, repositioning or otherwise {geometrically} modifying originals · CPC title

  • for measuring the deformation in a solid, e.g. optical strain gauge · CPC title

  • Affine transformations (for image registration G06T3/147; for image mosaicing G06T3/4038) · CPC title

  • Aligning, centring, orientation detection or correction of the image · CPC title

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What does patent US12100125B2 cover?
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 impl…
Who is the assignee on this patent?
Illumina Inc
What technology area does this patent fall under?
Primary CPC classification G06T5/80. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Sep 24 2024 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 2 related publications on this page (citations in our corpus or others sharing the same primary CPC).