IP Library Granted Patent US 12,372,771
Granted Patent B2
US 12,372,771 · App. 18/508,976 · Granted Jul 29, 2025

Systems and methods for actively mitigating vibrations

Inventors: Adam Joseph Monkowski (Pleasanton, CA); Elijah Roberts (Pleasanton, CA); Benjamin Pruitt (Cambridge, MA)
Assignee: 10x Genomics, Inc.
G02B21/367G02B21/16G02B21/26G02B21/361H04N23/55H04N23/6812H04N23/683A61B90/20
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,372,771
App. No.
18/508,976
Granted
Jul 29, 2025
Kind
B2
Abstract

Various embodiments of the present disclosure disclose methods and systems for actively monitoring an opto-fluidic instrument for vibrational disturbances and correcting images obtained during the detected disturbances. In various embodiments, an optical imaging system may acquire Z-stack images of samples supported by an XY-stage. Vibrations can cause individual stacks to be sheared, i.e., to not be co-located with respect to neighboring Z-stacks. In various embodiments, an offset between the measured positions and the expected positions of the sheared stacks may be computed, and a determination as to whether to correct or reacquire the Z-stack images may be made based at least in part on the computed offset.

Claims (45)

1. A method, comprising:

acquiring, using an optical imaging system, a first plurality of Z-stack images of a sample supported by an XY-stage, wherein the first plurality of Z-stack images are images of a respective plurality of two-dimensional (2D) slices of the sample;

measuring, using a position sensor coupled to the XY-stage, a position of one of the plurality of 2D slices, wherein one of the first plurality of Z-stack images is an image of the one of the plurality of 2D slices;

computing, using a processor coupled to the position sensor, a position offset between the measured position and a nominal position, of the one of the plurality of 2D slices; and

determining whether to adjust, using the processor, the position information associated with the one of the first plurality of Z-stack images, or acquire, using the optical imaging system, a second plurality of Z-stack images of the sample, based at least in part on a comparison of the position offset and a threshold offset.

2. The method of claim 1 , wherein the optical imaging system includes an epifluorescence microscope.

3. The method of claim 1 , wherein the acquiring the first plurality of Z-stack images includes moving the sample in X-direction or Y-direction using the XY-stage during the acquiring of the first plurality of Z-stack images by the optical imaging system.

4. The method of claim 1 , wherein the acquiring the first plurality of Z-stack images occurs at a rate ranging from about 10 Hz to about 20 Hz.

5. The method of claim 1 , wherein the measuring the position of one of the plurality of 2D slices occurs at a rate ranging from about 500 Hz to about 10 kHz.

6. The method of claim 1 , wherein successive 2D slices of the plurality of 2D slices are separated from each other by a distance ranging from about 500 nm to about 1000 nm.

7. The method of claim 1 , wherein the optical imaging system is coupled to a Z-stage configured to move an objective lens of the optical imaging system in the Z-direction.

8. The method of claim 7 , wherein the acquiring the first plurality of Z-stack images includes moving, using the Z-stage, the objective lens of the optical imaging system in the Z-direction during the acquiring of the first plurality of Z-stack images by the optical imaging system.

9. The method of claim 7 , wherein:

the position of one of the plurality of 2D slices includes an X-Y position of the one of the plurality of 2D slices; and

the position sensor is coupled to the XY-stage and is configured to measure the X-Y position of the one of the plurality of 2D slices.

10. The method of claim 1 , wherein the plurality of 2D slices correspond to focal planes of an objective lens of the optical imaging system.

11. The method of claim 1 , wherein the determining includes determining to adjust the position information when the position offset is less than a threshold offset.

12. The method of claim 1 , wherein the determining includes determining to acquire the second plurality of Z-stack images when the position offset is equal to or greater than the threshold offset.

13. The method of claim 1 , wherein the position of the one of the plurality of 2D slices includes a plurality of positions of the one of the plurality of 2D slices and the position offset includes a plurality of position offsets between the plurality of positions and the nominal position of the one of the plurality of 2D slices, the method further comprising:

computing, using the processor, a standard deviation of the plurality of positions offsets.

14. The method of claim 13 , wherein the determining includes determining to adjust the position information when the computed standard deviation is less than a threshold standard deviation and the position offset is less than a threshold offset.

15. The method of claim 14 , wherein:

the measured position includes an x-direction measured position value (“MPV-x”), and a y-direction measured position value (“MPV-y”), and the nominal position includes an x-direction nominal position value (“NPV-x”), and a y-direction nominal position value (“NPV-y”);

the position offset includes an x-direction offset (“OFF-x”) between MPV-x and NPV-x, and a y-direction offset (“OFF-y”) between MPV-y and NPV-y;

the threshold offset includes an x-direction threshold offset (“TO-x”) and a y-direction threshold offset (“TO-y”); and

the position offset being less than the threshold offset includes the OFF-x and the OFF-y being less than the TO-x and the TO-y, respectively.

16. The method of claim 14 , wherein:

the measured position includes an x-direction measured position value (“MPV-x”) and a y-direction measured position value (“MPV-y”), and the nominal position includes an x-direction nominal position value (“NPV-x”) and a y-direction nominal position value (“NPV-y”);

the position offset includes an x-direction offset (“OFF-x”) between MPV-x and NPV-x and a y-direction offset (“OFF-y”) between MPV-y and NPV-y; and

the position offset being less than or greater than the threshold offset includes ((OFF-x) 2 +(OFF-y) 2 ) 0.5 being less than the threshold offset.

17. The method of claim 14 , wherein:

the measured position includes an x-direction measured position value (“MPV-x”) and a y-direction measured position value (“MPV-y”), and the nominal position includes an x-direction nominal position value (“NPV-x”) and a y-direction nominal position value (“NPV-y”);

the position offset includes an x-direction offset (“OFF-x”) between MPV-x and NPV-x and a y-direction offset (“OFF-y”) between MPV-y and NPV-y;

the one of the first plurality of Z-stack images depicts a fluorescent object; and

the adjusting the position information includes shifting an x-direction position of the fluorescent object by the OFF-x and/or a y-direction position of the fluorescent object by the OFF-y.

18. The method of claim 13 , wherein the determining includes determining to acquire the second plurality of Z-stack images when the computed standard deviation is equal to or greater than a threshold standard deviation and/or the position offset is equal to or greater than a threshold offset.

19. The method of claim 18 , wherein:

the measured position includes an x-direction measured position value (“MPV-x”), and a y-direction measured position value (“MPV-y”), and the nominal position includes an x-direction nominal position value (“NPV-x”), and a y-direction nominal position value (“NPV-y”);

the position offset includes an x-direction offset (“OFF-x”) between MPV-x and NPV-x, and a y-direction offset (“OFF-y”) between MPV-y and NPV-y;

the threshold offset includes an x-direction threshold offset (“TO-x”) and a y-direction threshold offset (“TO-y”); and

the position offset being equal to or greater than the threshold offset includes the OFF-x and the OFF-y, or a z-direction offset (“OFF-z”) being equal to or greater than the TO-x, the TO-y, or a z-direction threshold offset (“TO-z”), respectively.

20. The method of claim 18 , wherein:

the measured position includes an x-direction measured position value (“MPV-x”) and a y-direction measured position value (“MPV-y”), and the nominal position includes an x-direction nominal position value (“NPV-x”) and a y-direction nominal position value (“NPV-y”);

the position offset includes an x-direction offset (“OFF-x”) between MPV-x and NPV-x and a y-direction offset (“OFF-y”) between MPV-y and NPV-y; and

the position offset being less than or greater than the threshold offset includes ((OFF-x) 2 +(OFF-y) 2 ) 0.5 being equal to or greater than the threshold offset.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 19, 2023
From: MONKOWSKI, ADAM JOSEPH; ROBERTS, ELIJAH; PRUITT, BENJAMIN
To: 10X GENOMICS, INC.
Reel/Frame 065914/0637 →
Continuity (2)
Provisional Application 63426689 · Nov 18, 2022
Related Publication 20240168273A1 · May 23, 2024
References Cited (73)
US 5599675A · Brenner · 1997 [cited by applicant]
US 5750341A · Macevicz · 1998 [cited by applicant]
US 6172218B1 · Brenner · 2001 [cited by applicant]
US 6306597B1 · Macevicz · 2001 [cited by applicant]
US 6969488B2 · Bridgham et al. · 2005 [cited by applicant]
US 7057026B2 · Barnes et al. · 2006 [cited by applicant]
US 7632641B2 · Dirks et al. · 2009 [cited by applicant]
US 7709198B2 · Luo et al. · 2010 [cited by applicant]
US 8551710B2 · Bernitz et al. · 2013 [cited by applicant]
US 8604182B2 · Luo et al. · 2013 [cited by applicant]
US 8658361B2 · Wu et al. · 2014 [cited by applicant]
US 8951726B2 · Luo et al. · 2015 [cited by applicant]
US 9217178B2 · Fedurco et al. · 2015 [cited by applicant]
US 10138509B2 · Church et al. · 2018 [cited by applicant]
US 10179932B2 · Church et al. · 2019 [cited by applicant]
US 10450599B2 · Pierce et al. · 2019 [cited by applicant]
US 10457980B2 · Cai et al. · 2019 [cited by applicant]
US 10494662B2 · Church et al. · 2019 [cited by applicant]
US 10550429B2 · Harada et al. · 2020 [cited by applicant]
US 20050100900A1 · Kawashima et al. · 2005 [cited by applicant]
US 20060188901A1 · Barnes et al. · 2006 [cited by applicant]
US 20060240439A1 · Smith et al. · 2006 [cited by applicant]
US 20060281109A1 · Ost et al. · 2006 [cited by applicant]
US 20070166705A1 · Milton et al. · 2007 [cited by applicant]
US 20090118128A1 · Liu et al. · 2009 [cited by applicant]
US 20110059865A1 · Smith et al. · 2011 [cited by applicant]
US 20120270305A1 · Reed et al. · 2012 [cited by applicant]
US 20130079232A1 · Kain et al. · 2013 [cited by applicant]
US 20130260372A1 · Buermann et al. · 2013 [cited by applicant]
US 20140043461A1 · Otsuka · 2014 [cited by examiner]
US 20140160559A1 · Mermelstein et al. · 2014 [cited by applicant]
US 20160024555A1 · Church et al. · 2016 [cited by applicant]
US 20160108458A1 · Frei et al. · 2016 [cited by applicant]
US 20160369329A1 · Cai et al. · 2016 [cited by applicant]
US 20170009278A1 · Söderberg et al. · 2017 [cited by applicant]
US 20170220733A1 · Zhuang et al. · 2017 [cited by applicant]
US 20180356621A1 · Ward et al. · 2018 [cited by applicant]
US 20190055594A1 · Samusik et al. · 2019 [cited by applicant]
US 20190106733A1 · Kishi et al. · 2019 [cited by applicant]
US 20190161796A1 · Hauling et al. · 2019 [cited by applicant]
US 20190177800A1 · Boutet et al. · 2019 [cited by applicant]
US 20190194709A1 · Church et al. · 2019 [cited by applicant]
US 20190339204A1 · Singer et al. · 2019 [cited by applicant]
US 20190367969A1 · Belhocine et al. · 2019 [cited by applicant]
US 20200224243A1 · Desai et al. · 2020 [cited by applicant]
US 20200224244A1 · Nilsson et al. · 2020 [cited by applicant]
US 20200310557A1 · Parkos · 2020 [cited by examiner]
US 20210164039A1 · Wang et al. · 2021 [cited by applicant]
US 20210340618A1 · Kühnemund et al. · 2021 [cited by applicant]
US 20220010358A1 · Kühnemund et al. · 2022 [cited by applicant]
US 20220043251A1 · Moore et al. · 2022 [cited by applicant]
US 20220064697A1 · Zhuang et al. · 2022 [cited by applicant]
US 20230138764A1 · Truong · 2023 [cited by examiner]
WO WO2018026873 · 2018 [cited by applicant]
WO WO2021138676 · 2021 [cited by applicant]
WO WO2021167526 · 2021 [cited by applicant]
WO WO2022046738A1 · 2022 [cited by applicant]
Chen et al., “Spatially Resolved, Highly Multiplexed RNA Profiling In Single Cells”, [cited by applicant]
Choi et al., “Third-Generation In Situ Hybridization Chain Reaction: Multiplexed, Quantitative, Sensitive, Versatile, Robust”, [cited by applicant]
Eng et al., “Transcriptome-Scale Super-Resolved Imaging in Tissues By Rna SeqFISH+”, [cited by applicant]
Frei et al., “Highly Multiplexed Simultaneous Detection Of RNAs And Proteins In Single Cells”, [cited by applicant]
Goh et al., “Highly Specific Multiplexed RNA Imaging In Tissues With Split-FISH”, [cited by applicant]
Gyllborg et al., “Hybridization-Based In Situ Sequencing (HybISS) For Spatially Resolved Transcriptomics In Human And Mouse Brain Tissue”, [cited by applicant]
Lee et al., “Highly Multiplexed Subcellular RNA Sequencing In Situ”, [cited by applicant]
Mitra et al., “Fluorescent In Situ Sequencing On Polymerase Colonies”, [cited by applicant]
Moffitt et al., “RNA Imaging With Multiplexed Error-Robust Fluorescence In Situ Hybridization (MERFISH)”, [cited by applicant]
Nagendran et al., “Automated Cell-Type Classification In Intact Tissues By Single-Cell Molecular Profiling”, [cited by applicant]
Shendure et al., “Accurate Multiplex Polony Sequencing Of An Evolved Bacterial Genome”, [cited by applicant]
Tripathi et al., “Z Probe, An Efficient Tool For Characterizing Long Non-Coding RNA In FFPE Tissues”, [cited by applicant]
Wang et al., “Three-Dimensional Intact-Tissue Sequencing Of Single-Cell Transcriptional States”, [cited by applicant]
Wu et al., “RollFISH Achieves Robust Quantification Of Single-Molecule RNA Biomarkers In Paraffin-Embedded Tumor Tissue Samples”, [cited by applicant]
Yang et al., “Single-Cell Phenotyping Within Transparent Intact Tissue Through Whole-Body Clearing”, [cited by applicant]
International Search Report and Written Opinion for Application No. PCT/US23/79639, mailed Mar. 5, 2024, 15 pages. [cited by applicant]