1.Automated ( aerobic) bacterial identification and sensitivity (mic) - urine test

Automated ( aerobic) bacterial identification and sensitivity (mic) - urine test 

Automated bacterial identification and sensitivity testing, also known as "microbial identification and susceptibility testing," is a laboratory technique used to identify the type of bacteria present in a urine sample and determine which antibiotics will be effective in treating an infection. The process typically involves growing a culture of the bacteria from the urine sample and then using various methods, such as mass spectrometry or DNA sequencing, to identify the type of bacteria. Once the bacteria have been identified, the laboratory will test the culture against a panel of antibiotics to determine which drugs are effective in killing or inhibiting the growth of the bacteria. This information can then be used by a healthcare provider to select the most appropriate antibiotic therapy for the patient.

The automated bacterial identification and sensitivity testing process begins with a urine sample being collected from the patient. The sample is then processed in a laboratory to isolate and grow the bacteria present in the urine. This typically involves adding the sample to a nutrient-rich culture medium and incubating it at a specific temperature and humidity for a certain period of time.

Once the bacteria have grown to a sufficient number, they are then subcultured on specific media for identification and antibiotic susceptibility. This can be done using various methods such as; Biochemical tests, Serological tests, molecular methods, mass spectrometry, or DNA sequencing. These methods can help to identify the genus and species of the bacteria present in the sample.

After identifying the type of bacteria present in the urine sample, the laboratory will then test the culture against a panel of antibiotics to determine which drugs are effective in killing or inhibiting the growth of the bacteria. This is done by adding a range of antibiotics to the culture and observing how the bacteria respond. The bacteria will be considered susceptible to an antibiotic if it is killed or inhibited by it and resistant if it is not.

The results of automated bacterial identification and sensitivity testing are then reported to the healthcare provider, who can use this information to select the most appropriate antibiotic therapy for the patient. This will help to ensure that the patient receives the most effective treatment possible and reduce the risk of antibiotic resistance.