MA51798B1 - Procédé et système permettant de déterminer la concentration d'un analyte dans un échantillon d'un fluide corporel et procédé et système pour générer un module mis en uvre par logiciel - Google Patents
Procédé et système permettant de déterminer la concentration d'un analyte dans un échantillon d'un fluide corporel et procédé et système pour générer un module mis en uvre par logicielInfo
- Publication number
- MA51798B1 MA51798B1 MA51798A MA51798A MA51798B1 MA 51798 B1 MA51798 B1 MA 51798B1 MA 51798 A MA51798 A MA 51798A MA 51798 A MA51798 A MA 51798A MA 51798 B1 MA51798 B1 MA 51798B1
- Authority
- MA
- Morocco
- Prior art keywords
- analyte
- sample
- concentration
- generating
- implemented module
- Prior art date
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/8483—Investigating reagent band
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/75—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated
- G01N21/77—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator
- G01N21/78—Systems in which material is subjected to a chemical reaction, the progress or the result of the reaction being investigated by observing the effect on a chemical indicator producing a change of colour
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/66—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving blood sugars, e.g. galactose
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/50—Image enhancement or restoration using two or more images, e.g. averaging or subtraction
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/11—Region-based segmentation
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/90—Determination of colour characteristics
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
- G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/8851—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges
- G01N2021/8887—Scan or image signal processing specially adapted therefor, e.g. for scan signal adjustment, for detecting different kinds of defects, for compensating for structures, markings, edges based on image processing techniques
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2201/00—Features of devices classified in G01N21/00
- G01N2201/12—Circuits of general importance; Signal processing
- G01N2201/129—Using chemometrical methods
- G01N2201/1296—Using chemometrical methods using neural networks
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30024—Cell structures in vitro; Tissue sections in vitro
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Chemical & Material Sciences (AREA)
- Biomedical Technology (AREA)
- Pathology (AREA)
- Molecular Biology (AREA)
- Immunology (AREA)
- Medical Informatics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- Hematology (AREA)
- Data Mining & Analysis (AREA)
- Public Health (AREA)
- Urology & Nephrology (AREA)
- Software Systems (AREA)
- Medicinal Chemistry (AREA)
- Food Science & Technology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Computation (AREA)
- Mathematical Physics (AREA)
- Artificial Intelligence (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- Databases & Information Systems (AREA)
- Biotechnology (AREA)
- Diabetes (AREA)
- Microbiology (AREA)
- Cell Biology (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Radiology & Medical Imaging (AREA)
- Quality & Reliability (AREA)
- Biophysics (AREA)
- Computational Linguistics (AREA)
Abstract
La présente invention concerne un procédé et un système pour générer un module mis en œuvre par logiciel configuré pour déterminer la concentration d'un analyte dans un échantillon d'un fluide corporel. Le procédé comprend la fourniture, dans un ou plusieurs dispositifs de traitement de données, d'un premier ensemble de données de mesure, le premier ensemble de données de mesure représentant des premières informations de couleur dérivées par traitement de données d'image à partir d'images pour une région d'intérêt d'une ou plusieurs bandelettes réactives : la génération un modèle de réseau neuronal dans un processus d'apprentissage automatique appliquant un réseau neuronal artificiel ; et générer un module implémenté par logiciel comprenant un premier algorithme d'analyse représentant le modèle de réseau neuronali. Le module implémenté par logiciel est configuré pour, lorsqu'il est chargé dans un dispositif de traitement de données ayant un ou plusieurs processeurs, déterminer la concentration d'un analyte dans un second échantillon d'un fluide corporel à partir de l'analyse d'un second ensemble de données de mesure indiquant des secondes informations de couleur dérivées par traitement d'image à partir d'images pour une région d'intérêt d'une ou plusieurs bandelettes réactives, les images étant indicatives d'une transformation de couleur de la région d'intérêt en réponse à l'application du second échantillon du fluide corporel contenant l'analyte à la région d'intérêt.En outre, la présente invention concerne un système pour générer un module implémenté par logiciel ainsi qu'un procédé et un système pour déterminer la concentration d'un analyte dans un échantillon d'un fluide corporel. De plus, un produit de programme informatique est décrit. (figure.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201862777360P | 2018-12-10 | 2018-12-10 | |
| PCT/EP2019/084115 WO2020120349A1 (fr) | 2018-12-10 | 2019-12-09 | Procédé et système de détermination de la concentration d'un analyte dans un échantillon d'un fluide corporel, et procédé et système permettant la génération d'un module mis en œuvre par logiciel |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| MA51798A MA51798A (fr) | 2020-06-17 |
| MA51798B1 true MA51798B1 (fr) | 2022-01-31 |
Family
ID=64901409
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| MA51798A MA51798B1 (fr) | 2018-12-10 | 2018-12-21 | Procédé et système permettant de déterminer la concentration d'un analyte dans un échantillon d'un fluide corporel et procédé et système pour générer un module mis en uvre par logiciel |
Country Status (11)
| Country | Link |
|---|---|
| US (3) | US11928814B2 (fr) |
| EP (1) | EP3667301B1 (fr) |
| JP (1) | JP7520011B2 (fr) |
| KR (1) | KR102809295B1 (fr) |
| CN (1) | CN113167738A (fr) |
| CA (1) | CA3120025A1 (fr) |
| ES (1) | ES2910573T3 (fr) |
| MA (1) | MA51798B1 (fr) |
| PL (1) | PL3667301T3 (fr) |
| TW (1) | TWI825240B (fr) |
| WO (1) | WO2020120349A1 (fr) |
Families Citing this family (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2583149B (en) * | 2019-07-19 | 2021-03-17 | Forsite Diagnostics Ltd | Assay reading method |
| WO2022043289A1 (fr) * | 2020-08-25 | 2022-03-03 | F. Hoffmann-La Roche Ag | Procédé mis en œuvre par ordinateur pour le contrôle-qualité d'une image numérique d'un échantillon |
| JP7412589B2 (ja) * | 2020-10-16 | 2024-01-12 | 株式会社カネカ | 自動判別システム、自動判別方法、及び自動判別プログラム |
| CN113486900B (zh) * | 2021-05-28 | 2024-06-07 | 杭州微策生物技术股份有限公司 | 一种用于poct的嵌入式实时图像采集处理系统 |
| CN114145738B (zh) * | 2022-02-10 | 2022-06-24 | 苏州百孝医疗科技有限公司 | 分析物浓度数据生成方法和装置、监测分析物水平的系统 |
| WO2023152200A1 (fr) | 2022-02-11 | 2023-08-17 | F. Hoffmann-La Roche Ag | Procédés et dispositifs pour déterminer la concentration d'au moins un analyte dans un fluide corporel |
| AR128485A1 (es) * | 2022-02-11 | 2024-05-15 | Hoffmann La Roche | Métodos y dispositivos para llevar a cabo una medición analítica |
| CN115598124B (zh) * | 2022-11-03 | 2023-07-18 | 淮北师范大学 | 颜色去卷积水质检测方法 |
| WO2024108597A1 (fr) * | 2022-11-25 | 2024-05-30 | 深圳迈瑞生物医疗电子股份有限公司 | Appareil et procédé de test chimique à sec |
| WO2024214106A1 (fr) * | 2023-04-10 | 2024-10-17 | Neodocs Healthcare PVT. LTD. | Système et procédé d'analyse d'un échantillon de fluide |
| CN117723530A (zh) * | 2023-11-24 | 2024-03-19 | 中国石油大学(华东) | 可穿戴比色生物传感器及深度学习智能感知微系统 |
| CN118817669B (zh) * | 2024-09-18 | 2024-12-20 | 北京中生金域诊断技术股份有限公司 | 一种智能体内成分代谢检测系统 |
Family Cites Families (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6394952B1 (en) * | 1998-02-03 | 2002-05-28 | Adeza Biomedical Corporation | Point of care diagnostic systems |
| US20040092036A1 (en) * | 2002-09-11 | 2004-05-13 | Lattec I/S | Device for analysing analyte compounds and use hereof |
| AU2009225713A1 (en) * | 2008-03-17 | 2009-09-24 | Chad R. Borges | Biomarkers and assays for diabetes |
| EP3180596A4 (fr) * | 2014-08-15 | 2018-09-26 | Scanadu Incorporated | Procédés de luxmètre de précision pour caméras numériques pour quantifier des couleurs dans des environnements à éclairage non commandé |
| US20180211380A1 (en) * | 2017-01-25 | 2018-07-26 | Athelas Inc. | Classifying biological samples using automated image analysis |
| WO2018194525A1 (fr) * | 2017-04-18 | 2018-10-25 | Yeditepe Universitesi | Analyseur biochimique basé sur un algorithme d'apprentissage automatique utilisant des bandelettes d'essai et un dispositif intelligent |
| US11237113B2 (en) * | 2017-10-26 | 2022-02-01 | Essenlix Corporation | Rapid pH measurement |
-
2018
- 2018-12-21 ES ES18215541T patent/ES2910573T3/es active Active
- 2018-12-21 PL PL18215541T patent/PL3667301T3/pl unknown
- 2018-12-21 EP EP18215541.6A patent/EP3667301B1/fr active Active
- 2018-12-21 MA MA51798A patent/MA51798B1/fr unknown
-
2019
- 2019-12-09 WO PCT/EP2019/084115 patent/WO2020120349A1/fr not_active Ceased
- 2019-12-09 CN CN201980081481.4A patent/CN113167738A/zh active Pending
- 2019-12-09 CA CA3120025A patent/CA3120025A1/fr active Pending
- 2019-12-09 JP JP2021532484A patent/JP7520011B2/ja active Active
- 2019-12-09 TW TW108144905A patent/TWI825240B/zh active
- 2019-12-09 KR KR1020217017328A patent/KR102809295B1/ko active Active
-
2021
- 2021-06-09 US US17/343,513 patent/US11928814B2/en active Active
-
2024
- 2024-02-05 US US18/432,427 patent/US12272060B2/en active Active
-
2025
- 2025-03-04 US US19/069,727 patent/US20250252569A1/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| US11928814B2 (en) | 2024-03-12 |
| EP3667301A1 (fr) | 2020-06-17 |
| JP2022514826A (ja) | 2022-02-16 |
| BR112021011115A2 (pt) | 2021-08-31 |
| PL3667301T3 (pl) | 2022-02-28 |
| KR102809295B1 (ko) | 2025-05-16 |
| CN113167738A (zh) | 2021-07-23 |
| US20250252569A1 (en) | 2025-08-07 |
| TWI825240B (zh) | 2023-12-11 |
| ES2910573T3 (es) | 2022-05-12 |
| KR20210099575A (ko) | 2021-08-12 |
| EP3667301B1 (fr) | 2021-12-01 |
| US20240177304A1 (en) | 2024-05-30 |
| TW202032435A (zh) | 2020-09-01 |
| JP7520011B2 (ja) | 2024-07-22 |
| US12272060B2 (en) | 2025-04-08 |
| MA51798A (fr) | 2020-06-17 |
| US20210295515A1 (en) | 2021-09-23 |
| CA3120025A1 (fr) | 2020-06-18 |
| WO2020120349A1 (fr) | 2020-06-18 |
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