US 11,719,618 B2
Assay accuracy improvement
Stephen Y. Chou, Princeton, NJ (US); Wei Ding, Princeton, NJ (US); Wu Chou, Basking Ridge, NJ (US); Jun Tian, Belle Mead, NJ (US); Yuecheng Zhang, Yardley, PA (US); Mingquan Wu, Princeton Junction, NJ (US); and Xing Li, Metuchen, NJ (US)
Assigned to Essenlix Corporation, Monmouth Junction, NJ (US)
Appl. No. 17/268,847
Filed by Essenlix Corporation, Monmouth Junction, NJ (US)
PCT Filed Aug. 28, 2019, PCT No. PCT/US2019/048678
§ 371(c)(1), (2) Date Feb. 16, 2021,
PCT Pub. No. WO2020/047177, PCT Pub. Date Mar. 5, 2020.
Claims priority of provisional application 62/742,247, filed on Oct. 5, 2018.
Claims priority of provisional application 62/724,025, filed on Aug. 28, 2018.
Prior Publication US 2021/0270722 A1, Sep. 2, 2021
Int. Cl. G01N 15/14 (2006.01); G02B 21/34 (2006.01); G06T 7/00 (2017.01); G06V 10/34 (2022.01); G06V 10/44 (2022.01); G06V 20/69 (2022.01); G06F 18/2413 (2023.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G01N 15/10 (2006.01)
CPC G01N 15/1475 (2013.01) [G02B 21/34 (2013.01); G06F 18/24143 (2023.01); G06T 7/0012 (2013.01); G06V 10/34 (2022.01); G06V 10/44 (2022.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/69 (2022.01); G01N 2015/1006 (2013.01); G06T 2207/30004 (2013.01)] 46 Claims
OG exemplary drawing
 
1. A method for improving accuracy of an assay in detecting,
using an assay device, an analyte in or suspected of being in a sample, wherein the assay device or an operation of the assay device has one or more parameters each having a random variation, the method comprising:
(a) detecting, using the assay device, the analyte, comprising:
(i) placing the sample into the assay device; and
(ii) measuring, using the assay device, the analyte in the sample, to generate a detection result; and
(b) determining trustworthiness of the detection result in step (a), comprising:
(i) imaging, using an imager, one or more images of at least a part of the sample and/or at least part of the assay device, wherein the images substantially represent the conditions under which the at least a part of the sample is measured in generating the detection result in step (a); and
(ii) determining a trustworthiness of the detection result in step (a) by using an algorithm to analyze the images and one or more parameters, to generate a trustworthy score.