Methods and devices for reading microarrays

US2018341802A1 · US · A1

Patent metadata
FieldValue
Publication numberUS-2018341802-A1
Application numberUS-201815993512-A
CountryUS
Kind codeA1
Filing dateMay 30, 2018
Priority dateMay 22, 2009
Publication dateNov 29, 2018
Grant date

How to read this patent

A practical reading order for non-experts. Skip the full description unless you need deep technical detail.

  1. Title

    What the patent document calls the invention.

  2. Abstract

    A short plain-language summary of the technical disclosure.

  3. Assignees and inventors

    Who owns or filed the patent and who is credited as inventor.

  4. Key dates

    Filing, priority, publication, and grant dates set the timeline.

  5. First independent claim

    The legal scope of protection — read this for what is actually claimed.

  6. CPC / IPC classifications

    Technology tags used to group this patent with similar filings.

  7. Citations and related patents

    Prior art links and similar publications in this corpus.

Abstract

Official abstract text for this publication.

In one embodiment of the invention, a method to image a probe array is described that includes focusing on a plurality of fiducials on a surface of an array. The method utilizes obtaining the best z position of the fiducials and using a surface fitting algorithm to produce a surface fit profile. One or more surface non-flatness parameters can be adjusted to improve the flatness image of the array surface to be imaged.

First claim

Opening claim text (preview).

1 - 21 . (canceled) 22 . A method for improving image flatness of a surface image of a probe array having an array surface roughness, the method comprising: imaging one or more fiducials of the probe array and determining a position measurement for each of the one or more fiducials based on at least image sharpness; generating a surface fit profile based on one or more of the position measurements; and imaging the probe array and adjusting one or more surface non-flatness parameters based on the surface fit profile to improve the image flatness of the surface image of the probe array. 23 . The method of claim 22 , wherein the one or more fiducials are imaged at one or more positions along an axis of translation. 24 . The method of claim 22 , wherein the surface fit profile is generated using a surface-fitting algorithm. 25 . The method of claim 24 , wherein the surface-fitting algorithm comprises at least one of a least square algorithm, a sub-plane surface fit algorithm, and a B spline surface fit. 26 . The method of 22 , wherein determining the position measurement comprises using quadratic interpolation for at least one of the one or more fiducials. 27 . The method of claim 22 , wherein the one or more surface non-flatness parameters comprises a probe array tilt angle. 28 . The method of claim 27 , wherein adjusting the one or more surface non-flatness parameters comprises adjusting a position of a stage on which the probe array is mounted. 29 . The method of claim 28 , wherein the stage comprises a two-axis tilt stage. 30 . The method of claim 28 , wherein the stage comprises a three-axis translation stage. 31 . The method of claim 22 , wherein the one or more surface non-flatness parameters comprise an optical parameter. 32 . The method of claim 22 , wherein the one or more surface non-flatness parameters comprise a focal plane position. 33 . The method of claim 22 , wherein the one or more fiducials comprise at least 4 fiducials. 34 . The method of claim 33 , wherein the one or more fiducials comprise at least 5 fiducials. 35 . The method of claim 34 , wherein the one or more fiducials comprise at least 9 fiducials. 36 . The method of claim 35 , wherein the one or more fiducials comprise 12 fiducials. 37 . The method of claim 36 , wherein the one or more fiducials comprise 15 fiducials. 38 . The method of claim 22 , wherein the axis of translation is substantially perpendicular to a plane of the probe array. 39 . The method of claim 22 , wherein imaging the one or more fiducials comprises adjusting a position of a stage on which the probe array is mounted. 40 . The method of claim 22 , wherein the probe array comprises a DNA array. 41 . The method of claim 22 , wherein the probe array comprises a peptide array. 42 . The method of claim 22 , wherein the probe array comprises a plurality of sub-arrays. 43 . The method of claim 42 , wherein the one or more fiducials are of a corner sub-array of the probe array. 44 . The method of claim 42 , wherein the probe array is positioned such that a selected sub-array is centered in a field of view of an image detector device. 45 . The method of claim 22 , wherein the one or more fiducials comprise a plurality of fiducials located in non-collinear locations on the probe array. 46 . The method of claim 22 , wherein the one or more fiducials comprise one of an L-shaped or square shaped feature. 47 . The method of claim 22 , wherein at least one of the one or more fiducials is located near a middle of the probe array. 48 . A system for improving image flatness of a surface image of a probe array having an array surface roughness, the system comprising: an image detector device configured to: image one or more fiducials of the probe array and determine a position measurement for each of the one or more fiducials based on at least image sharpness; and at least one server coupled with the image detector device and that is, upon execution of software instructions stored in a non-transitory computer readable memory by at least one processor, configurable to: generate a surface fit profile based on one or more of the position measurements; and facilitate imaging the probe array by adjusting one or more surface non-flatness parameters based on the surface fit profile to improve the image flatness of the surface image of the probe array. 49 . A computer program product embedded in a non-transitory computer readable medium comprising instructions executable by a computer processor for improving image flatness of a surface image of a probe array having an array surface roughness, the instructions being executable by a computer processor to execute processing comprising: imaging one or more fiducials of the probe array and determining a position measurement for each of the one or more fiducials based on at least image sharpness; generating a surface fit profile based on one or more of the position measurements; and imaging the probe array and adjusting one or more surface non-flatness parameters based on the surface fit profile to improve the image flatness of the surface image of the probe array.

Assignees

Inventors

Classifications

  • arrangements using fluorescence or luminescence · CPC title

  • Optical details, e.g. image relay to the camera or image sensor (G02B21/364 takes precedence; illumination details G02B21/06 and subgroups) · CPC title

  • Assembling or joining · CPC title

  • adapted for ultraviolet illumination {; Fluorescence microscopes (G02B21/0076 takes precedence)} · CPC title

  • Individual samples arranged in a regular 2D-array, e.g. multiwell plates · CPC title

Patent family

Related publications grouped by family.

External sources

Frequently asked questions

Answers are generated from the same data shown on this page.

What does patent US2018341802A1 cover?
In one embodiment of the invention, a method to image a probe array is described that includes focusing on a plurality of fiducials on a surface of an array. The method utilizes obtaining the best z position of the fiducials and using a surface fitting algorithm to produce a surface fit profile. One or more surface non-flatness parameters can be adjusted to improve the flatness image of the arr…
Who is the assignee on this patent?
Affymetrix Inc
What technology area does this patent fall under?
Primary CPC classification G01N21/6452. Mapped technology areas include Physics.
When was this patent published?
Publication date Thu Nov 29 2018 00:00:00 GMT+0000 (Coordinated Universal Time) (A1). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 8 related publications on this page (citations in our corpus or others sharing the same primary CPC).