# US 12,007,320 B2 · Assay detection, accuracy and reliability improvement

> Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt

- Number: US 12,007,320 B2
- Document ID: US12007320B2
- Status: Granted
- Kind: B2
- Application number: 18/215,302
- Filed: 2023-06-28
- Published: 2023-10-26
- Granted: 2024-06-11
- Earliest claimed: 2019-04-05
- Assignees: Essenlix Corporation
- Applicants: Essenlix Corporation
- Inventors: Stephen Y. Chou; Wu Chou; Xing Li; Hongbing Li; Yuecheng Zhang; Mingquan Wu; Wei Ding; Jun Tian
- Web page: https://patentgrep.com/patent/US12007320B2

## CPC

- G01N 15/1433: using image recognition
- G01N 21/274: {Calibration, base line adjustment, drift correction}
- G01N 21/658: {enhancement Raman, e.g. surface plasmons}
- G01N 21/77: by observing the effect on a chemical indicator
- G06N 3/0464: Convolutional networks [CNN, ConvNet]
- G06N 3/09: Supervised learning
- G06N 20/00: Machine learning
- G06T 7/0012: {Biomedical image inspection}
- G06T 7/10: Segmentation; Edge detection (motion-based segmentation G06T7/215)
- G06T 7/40: Analysis of texture (depth or shape recovery from texture G06T7/529)
- G06T 7/62: of area, perimeter, diameter or volume
- G06N 3/045: Combinations of networks
- G06T 2207/10056: Microscopic image
- G06T 2207/30004: Biomedical image processing
- G06T 2207/30024: Cell structures in vitro; Tissue sections in vitro
- G06T 2207/30204: Marker
- G01N: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES (measuring or testing apparatus or processes other than immunoassay, involving enzymes or microorganisms C12M, C12Q)
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06T: IMAGE DATA PROCESSING OR GENERATION, IN GENERAL

## Abstract

The present invention is related to, among other things, the devices and methods that improve the accuracy and reliability of an assay, even when the assay device and/or the operation of the assay device has certain errors, and in some embodiments the errors are random.

## Claims

### Claim 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.

### Claim 2 (depends on 1)

The system of claim 1, wherein in determining the trustworthiness, under the one or more imperfection condition comprises: (1) edge of blood, (2) air bubble in the blood, (3) too small blood volume or too much blood volume, (4) blood cells under the spacer, (5) aggregated blood cells, (6) lysed blood cells, (7) over exposure image of the sample, (8) under exposure image of the sample, (8) poor focus of the sample, (9) optical system error as wrong lever position, (10) not closed card, (12) wrong card as card without spacer, (12) dust in the card, (14) oil in the card, (14) dirty out of the focus plane one the card, (15) card not in right position inside the reader, (16) empty card, (17) manufacturing error in the card, (18) wrong card for other application, (19) dried blood, (20) expired card, (21) large variation of distribution of blood cells, (22) none blood sample or (23) none targeted blood sample.

### Claim 3 (depends on 1)

The system of claim 1, wherein the one or more imperfect condition comprises dust, air bubble, oil, non-sample materials, or any combination thereof.

### Claim 4 (depends on 2)

The system of claim 2, wherein the assay device performs a cellular assay, immunoassay, nucleic acid assay, colorimetric assay, luminescence assay, or any combination thereof.

### Claim 5 (depends on 2)

The system of claim 2, wherein the assay device comprises two plates facing each other with a gap, wherein at least a part of the sample is inside of a gap and wherein one or both of the two plates comprises spacers that regulate spacing between the two plates, and wherein a sample thickness is regulated by the two plates and the spacers and is 200 nm or less.

### Claim 6 (depends on 5)

The system of claim 5, wherein the two plates are movable relative to each other into an open configuration and a closed configuration,
wherein, in the open configuration, the two plates are partially or completely separated apart, the spacing between the plates is not regulated by the spacers, and the sample is deposited on one or both of the plates; and
wherein, in the closed configuration, which is configured after the sample is deposited in the open configuration, the sample is compressed by the two plates into a thin layer, wherein the thickness of the layer is confined by surfaces of the plates and is regulated by the plates and the spacers plates movable to each other and spacers that regulate the spacing between the plates.

### Claim 7 (depends on 1)

The system of claim 1, wherein the predetermined trustworthiness threshold is determined by the training and evaluation of data.

### Claim 8 (depends on 5)

The system of claim 5, wherein the spacers are a monitoring mark, wherein the spacers have a substantially uniform height that is equal to or less than 200 microns, and a fixed inter-spacer-distance (ISD).

### Claim 9 (depends on 8)

The system of claim 8, wherein the monitoring mark is used for estimating the TLD (true-lateral-dimension) and true volume estimation.

### Claim 10 (depends on 1)

The system of claim 1, wherein the image obtained by the imager for detecting the analyte in the sample and the image for determining the trustworthiness of the detection result are the same image.

### Claim 11 (depends on 1)

The system of claim 1, wherein determining the trustworthiness of the detection result comprises an analysis and detection for aggregated analytes in the sample, an analysis for dry-texture in the image of the sample, or an analysis for defects in the sample, or a combination thereof.

### Claim 12 (depends on 1)

The system of claim 1, wherein determining the trustworthiness of the detection result further comprises a correction of camera parameters and conditions as distortion removal, temperature correction, brightness correction, contrast correction.

### Claim 13 (depends on 1)

The system of claim 1, wherein the algorithm further comprises a statistical method or lookup table, or any combination thereof.

### Claim 14 (depends on 1)

The system of claim 1, wherein detecting the analyte comprises detecting a signal, wherein the signal is a luminescence signal selected from the group consisting of fluorescence, electroluminescence, chemiluminescence, and electrochemiluminescence.

### Claim 15 (depends on 8)

The system of claim 8, wherein the monitoring mark is used by the algorithm in determining the trustworthiness.

### Claim 16 (depends on 1)

The system of claim 1, wherein the trustworthiness threshold is determined empirically.

### Claim 17 (depends on 1)

The system of claim 1, wherein in determining the trustworthiness, the one or more imperfection condition comprises: edge of blood, dried blood, blood cells under the spacer, aggregated blood cells, or large variation of distribution of blood cells.

### Claim 18 (depends on 1)

The system of claim 1, wherein in determining the trustworthiness, the one or more imperfection condition comprises: over exposure image of the sample, under exposure image of the sample, poor focus of the sample, or optical system error as wrong lever position.

### Claim 19 (depends on 1)

The system of claim 1, wherein in determining the trustworthiness, the one or more imperfection condition comprises: not closed sample holder, wrong sample holder, sample holder not in a right position inside the reader of the assay device, (16) empty sample holder, (17) manufacturing error in the sample holder, expired sample holder, none blood sample or none targeted blood sample.