MICROORGANIC DETECTION SYSTEM USING A DEEP LEARNING MODEL

Aspects of the present disclosure relate to a method of colony enumeration. The method includes identifying colony forming units of microorganisms in a combined image using a pretrained deep learning model on a colony enumeration device. The method can include providing a plurality of identification...

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Bibliographische Detailangaben
Hauptverfasser:	WATSON, Hugh Eugene, TRAN, Thanh Quoc
Format:	Patent
Sprache:	eng ; fre ; ger
Schlagworte:	APPARATUS FOR ENZYMOLOGY OR MICROBIOLOGY BEER BIOCHEMISTRY CALCULATING CHEMISTRY COMPOSITIONS OR TEST PAPERS THEREFOR COMPUTING CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL ORENZYMOLOGICAL PROCESSES COUNTING ENZYMOLOGY IMAGE DATA PROCESSING OR GENERATION, IN GENERAL MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEICACIDS OR MICROORGANISMS METALLURGY MICROBIOLOGY MUTATION OR GENETIC ENGINEERING PHYSICS PROCESSES OF PREPARING SUCH COMPOSITIONS SPIRITS VINEGAR WINE
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Beschreibung
Zusammenfassung:	Aspects of the present disclosure relate to a method of colony enumeration. The method includes identifying colony forming units of microorganisms in a combined image using a pretrained deep learning model on a colony enumeration device. The method can include providing a plurality of identification characteristics of the colony forming units to an interaction component such that the interaction component can project at least some of the plurality of identification characteristics onto the combined image.