According to a number of research studies, automated analyzers outperform manual microscopy when it comes to detecting urine-formed elements. This is especially true when it comes to measuring erythrocytic and leukocyte counts as well as casts and bacteria (30). A large number of urine samples can be analyzed by an automatic analyzer in a short period of time and with high repeatability, allowing for faster turnaround times than manual analysis. Because of the limitations of automated analysers 18, 32, and 33, it is recommended that manual methods or dipstick testing be used to confirm urinalysis results, particularly in pathological cases. This is especially true in pathological cases because of the limitations of automated analysers 18. Various aspects, such as specimen collection and storage procedures, must be carefully considered in order to ensure that the final product is free of artefacts and produces reliable results.

In order to ensure that the urine elements detected by automatic analyzers are properly evaluated, it is also necessary to have personnel who have been properly trained. It is necessary to perform a manual examination on some formed elements, particularly those that are dysmorphic (such as dysmorphic cells and bacteria), as well as yeasts, casts, and crystals, before they can be used.

An increasing number of studies have recommended the use of automatic urine analyzers (AUAs), which are devices that are used to screen microscopic urine analysis samples. They have the potential to provide an accurate and rapid screening in routine urine testing situations if they are used in conjunction with microscopic urine analysis chemistry analysis, which is currently available. In addition to having the potential to reduce inter-individual variation, an automated urine sediment examination system has the potential to reduce the rate at which urine sediment is reviewed by a human examiner, both of which are beneficial. It is possible to complete sample analysis in a very short period of time due to the elimination of the most error-prone steps, such as centrifugation and manual preparation (19, 27). As a result, the turnaround time is reduced to an acceptable level. According to Shayanfar and colleagues 14, by implementing this strategy, researchers discovered that the workload in a laboratory that performed approximately 25,000 urine analyses per year was reduced by approximately 30%, resulting in a 30% reduction in workload.

Improved ability of software programs to accurately recognize the elements formed by urine analyzer, however, is also required in order to improve the standardization of measurements and increase the efficiency of working with automated urinary sediment analysers.

Automatic system detection of casts is a difficult task to complete successfully. In mathematics, the digits 8 and 12 represent a pair of digits representing the numbers eight and twelve respectively. Because of the limited number of pathological specimens available in our study, all varieties of casts were treated as a single group for the purposes of this investigation. Our research revealed that the results obtained using automated cast analysis were in poor agreement with the results obtained using manual methods, which we confirmed by conducting additional research after the initial findings were published. To put it another way, according to the findings of Shayanfar and his colleagues, the Iris iQ200 was found to be generally effective at detecting plaster casts but ineffective at distinguishing between different types of plaster casts.14. The number 14 is a reference to the number of digits in the word "fourteen."Fourteen is a reference to the number of digits in the word fourteen, which is represented by the number 14. In the word fourteen, the number fourteen refers to the number of digits in the word fourteen, which is represented by the letter d. The number fourteen in the word fourteen refers to the number of digits in the word fourteen, which is represented by the letter d in the word fourteen. When there are casts on the legs (16, 26, 27, 28, 29), it is recommended that microscopic examinations be performed on the legs (16, 26, 27, 28, 29).

The research has some limitations, as you can see in the table below.

The fact that we only had a small number of pathological samples to work with was the most significant limitation of our research. We came to the conclusion that the method was ineffective because it was unable to distinguish between squamous and non-squamous epithelial cells, between crystal and amorphous mass, between candida and mycelia in yeast, or between crystal and amorphous mass in aqueous solution. In comparison to the findings of the microscopic examination and the results of the  dipstick, it was determined that there was no evidence to support the findings of the microscopic examination. There were no linearity tests, accuracy tests, or carry-over tests performed as part of this study, and there were no carry-over tests performed as part of this study. Our findings were unable to be compared to those of other researchers who had conducted similar research because there had been no published studies on the FUS-200 at the time of writing.