Microlens array for enhanced imaging of multiregion targets
US-2015370061-A1 · Dec 24, 2015 · US
US2018341802A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2018341802-A1 |
| Application number | US-201815993512-A |
| Country | US |
| Kind code | A1 |
| Filing date | May 30, 2018 |
| Priority date | May 22, 2009 |
| Publication date | Nov 29, 2018 |
| Grant date | — |
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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.
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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.
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