Besta Method

The Besta method is one of the pathological diagnostic methods based on microscopy of smears of cytological material. This method is widely used in various fields of medicine, such as oncology, gynecology, urology and others. The Besta method allows you to quickly and effectively detect the presence of malignant cells in a tissue sample, which is especially important when diagnosing cancer.

History of the method

The Best method was developed by the German pathologist Friedrich Best in 1890. He discovered that tumor cells differed from healthy tissue in size, shape, and staining with chrome dyes. These differences can be seen in microscopic images of cells, which are then used to diagnose cancer. Since then, this method has been used as one of the main methods in oncology and histology (the science of microscopic examination of tissue).

How the method works

To carry out the best method, a special procedure for collecting material from the patient is necessary. Usually this is a small piece of tissue or a fragment of a new growth of the skin or mucous membrane. The collected material is placed on a glass slide, after which it is stained with chrome paints. Next, the smear is placed on a microscope and analyzed under magnification up to 400 times.

When carrying out the best method, it is important to determine a number of parameters that characterize cancer cells and their microscopic features. The main parameters are the size, shape, edge, density and direction of the nuclei, as well as the ability to rapidly divide (proliferate). All these parameters can indicate the presence of a tumor in the patient’s body and allow one to assess its severity.

Advantages and disadvantages of the method

One of the main advantages of the best method is its speed and simplicity. It can be performed even by a novice microscopist. In addition, the method is convenient for practical use: it does not require special equipment or complex reagents. However, the method also has several disadvantages, including limited information content. If tumor cells are too small and uniformly colored, they are difficult to distinguish and identify. In addition, there is