METHODS, DATA STRUCTURES, AND SYSTEMS FOR CLASSIFYING MICROPARTICLES

METHODS, DATA STRUCTURES, AND SYSTEMS FOR CLASSIFYING MICROPARTICLES

Methods, data structures, and systems for classifying particles are provided. In particular, the methods and systems are configured to acquire a first set of data corresponding to measurable parameters of a microparticle and identify a location of a look-up table to which the first set of data corre...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: ROTH WAYNE D, CALVIN EDWARD A
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES
MEASURING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
TESTING
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Beschreibung
Zusammenfassung:Methods, data structures, and systems for classifying particles are provided. In particular, the methods and systems are configured to acquire a first set of data corresponding to measurable parameters of a microparticle and identify a location of a look-up table to which the first set of data corresponds, wherein the look-up table is framed by values associated with at least one of the measurable parameters. Furthermore, the methods and systems are configured to determine whether the first set of data fits one or more predefined algorithms respectively indicative of a different microparticle classification associated with the identified location of the look-up table. The methods and systems are further configured to classifying the microparticle within at least one predefined categorization based upon the determination of whether the first set of data fits the one or more predefined algorithms.