System and method for detecting a target bacteria

A system for detecting at least a target bacteria, wherein the system comprises:

• a flow cytometer configured to:
• receive a fluid sample comprising the at least a target bacteria and at least a contaminant bacteria;
• generate a first enumeration of a total bacteria in the fluid sample during a pre-incubation phase, wherein the total bacteria comprises an aggregate of the at least a target bacteria and the at least a contaminant bacteria;
• generate a second enumeration of the total bacteria in the fluid sample during a post-incubation phase;
• an incubator configured to incubate the fluid sample during an incubation phase as a function of a plurality of incubation parameters, the plurality of incubation parameters including at least an incubation temperature and an agitation parameter, wherein the plurality of incubation parameters are selected from a lookup table that relates the plurality of incubation parameters to the target bacteria;
• an automated cassette handling device comprising one or more robotic components controlled by a processor, wherein the automated cassette handling device is configured to automatedly transport the fluid sample between the incubator and the flow cytometer for analysis by the flow cytometer;
• a machine-learning module executed by the processor, wherein the machine-learning module is configured to:
• determine a delay time as a function of a duration of the pre-incubation phase of a current cassette and a duration of a post-incubation phase of a previously analyzed cassette, wherein the duration of the post-incubation phase is dependent on results of analysis of the previously analyzed cassette;
• and
• determine a second delay time configured to prevent premature incubation by accounting for over-prediction of the post-incubation phase duration;
• wherein the automated cassette handling device is configured to transport the fluid sample between the incubator and the flow cytometer in accordance with the delay time and the second delay time;
• and
• a computing device, wherein the computing device is configured to:
• utilize a flow cytometer software module to access pre-defined regions of interest, scatter values and fluorescence values which are stored in a fluid library for detecting various species of bacteria in various fluids being tested, wherein detections of pre-defined regions of interests possessing characteristics of target events comprising at least scatter values, as determined by a computational analysis executed by the flow cytometer software, are used to determine a concentration of particles for a bacteria count, wherein the bacteria count excludes dead bacteria;
• generate the plurality of incubation parameters based on a type of the at least a target bacteria and a type of the fluid sample;
• receive the first enumeration and the second enumeration;
• determine a growth ratio of the total bacteria as a function of the first enumeration and the second enumeration;
• identify a presence of the at least a target bacteria as a function of the growth ratio and information gathered from the flow cytometer software module;
• and
• determine a diagnosis as a function of the growth ratio and one or more of the first enumeration and the second enumeration, wherein determining the diagnosis comprises implementing a lookup table to perform an array indexing operation.