US 12,007,320 B2
Assay detection, accuracy and reliability improvement
Stephen Y. Chou, Princeton, NJ (US); Wu Chou, Basking Ridge, NJ (US); Xing Li, Metuchen, NJ (US); Hongbing Li, Skillman, NJ (US); Yuecheng Zhang, Yardley, PA (US); Mingquan Wu, Princeton Junction, NJ (US); Wei Ding, Princeton, NJ (US); and Jun Tian, Belle Mead, NJ (US)
Assigned to Essenlix Corporation, Monmouth Junction, NJ (US)
Filed by Essenlix Corporation, Monmouth Junction, NJ (US)
Filed on Jun. 28, 2023, as Appl. No. 18/215,302.
Application 18/215,302 is a continuation of application No. 17/284,083, granted, now 11,733,151, previously published as PCT/US2020/026959, filed on Apr. 6, 2020.
Application 17/284,083 is a continuation in part of application No. PCT/US2019/048678, filed on Aug. 28, 2019.
Application 17/284,083 is a continuation in part of application No. PCT/US2019/046971, filed on Aug. 16, 2019.
Claims priority of provisional application 62/830,311, filed on Apr. 5, 2019.
Prior Publication US 2023/0341315 A1, Oct. 26, 2023
This patent is subject to a terminal disclaimer.
Int. Cl. G01N 15/1433 (2024.01); G06N 20/00 (2019.01); G06T 7/00 (2017.01); G06T 7/10 (2017.01); G06T 7/40 (2017.01); G06T 7/62 (2017.01)
CPC G01N 15/1433 (2024.01) [G06N 20/00 (2019.01); G06T 7/0012 (2013.01); G06T 7/10 (2017.01); G06T 7/40 (2013.01); G06T 7/62 (2017.01); G06T 2207/10056 (2013.01); G06T 2207/30004 (2013.01); G06T 2207/30024 (2013.01); G06T 2207/30204 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A system for improving the accuracy of an assay device that detects an analyte in a sample, wherein the sample, the assay device, or an operation of the assay device has one or more imperfect conditions, the system comprising:
(a) an assay device that detects, under the one or more imperfect conditions, the analyte in the sample to generate a detection result, wherein the assay device has a sample holder that holds the sample;
(b) an imager that images the sample in the sample holder to obtain images;
(c) a non-transitory storage medium that stores an algorithm that analyzes the image(s) and a reliability of the detection result to generate a trustworthiness of the detection results, wherein the trustworthiness is higher when the analysis of the reliability shows that the detection result has a lesser likelihood of being inaccurate, and wherein the algorithm comprises at least a machine learning algorithm, a statistical model, a lookup table, or any combination of;
(d) a processor that executes the algorithm to determine the trustworthiness of the detection result; and
(e) a data-output device that outputs the detection result, if the trustworthiness is higher than a predetermined trustworthiness threshold; otherwise not reporting the detection result.