WO2023126828 - DEVICE AND METHOD FOR ASPIRATING/DISPENSING OPERATION IN AUTOMATED ANALYZER
National phase entry:
Publication Number
WO/2023/126828
Publication Date
06.07.2023
International Application No.
PCT/IB2022/062803
International Filing Date
27.12.2022
Title **
[English]
DEVICE AND METHOD FOR ASPIRATING/DISPENSING OPERATION IN AUTOMATED ANALYZER
[French]
DISPOSITIF ET PROCÉDÉ POUR OPÉRATION D'ASPIRATION / DE DISTRIBUTION DANS UN AUTOMATE D'ANALYSE
Applicants **
BECKMAN COULTER, INC.
Inventors
WEAVER, Matthew
SAWHNEY, Amit
SMITH, Mark A.
WILLETTE, Marie N.
ARITA, Ernesto F.
EIDAHL, Marcus
MURRAY, Christopher A.
Priority Data
63/295,511
30.12.2021
US
Application details
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Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 2698 | |
| EPO | Filing, Examination, Granting | 13576 | |
| Japan | Filing, Examination, Granting | 2478 | |
| South Korea | Filing, Examination, Granting | 2757 | |
| USA | Filing, Examination, Granting | 5140 |

Total:
26,649
The term for entry into the National Phase has expired. This quotation is for informational purposes only
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Abstract[English]
The present disclosure provides a computing device (100) for classification of an aspirating/dispensing operation in an automated analyzer (50). The computing device (100) comprises a memory (22) storing a neural network model (24). The neural network model 24 sequentially comprises a plurality of convolution blocks (202-1, 202-2...202-N). The computing device (100) further comprises a processor (20) communicably coupled to the memory (22) and at least one measurement sensor (106) associated with a pipetting probe (104) of a pipetting device (102). The processor (20) is capable of executing the neural network model (24). The processor (20) is further capable of executing instructions (26) to classify the aspirating/dispensing operation into at least one correct class or at least one incorrect class.[French]
La présente divulgation concerne un dispositif informatique (100) pour la classification d'une opération d'aspiration / de distribution dans un automate d'analyse (50). Le dispositif informatique (100) comprend une mémoire (22) stockant un modèle de réseau de neurones artificiels (24). Le modèle de réseau de neurones artificiels (24) comprend séquentiellement une pluralité de blocs de convolution (202-1, 202-2…202-N). Le dispositif informatique (100) comprend en outre un processeur (20) couplé en communication à la mémoire (22) et au moins un capteur de mesure (106) associé à une sonde de pipetage (104) d'un dispositif de pipetage (102). Le processeur (20) peut exécuter le modèle de réseau de neurones artificiels (24). Le processeur (20) peut en outre exécuter des instructions (26) en vue de classer l'opération d'aspiration / de distribution en au moins une classe correcte ou au moins une classe incorrecte.