DNA Quantitative Analysis Services for Brain Tumor Cells

The determination of DNA content is the core of quantitative cellular analysis, and it is also a necessary precondition and the most important basis for the diagnosis and screening of early-stage cancers by quantitative cytological methods and the study of the relationship between changes in DNA content and various lesions. The accuracy of DNA content measurement is directly related to the accuracy and stability of brain tumor screening, and also directly affects the authenticity of quantitative cytology results, which is of great importance in brain tumor research.

We provide quantitative DNA analysis services for brain tumor cells

DNA image quantification is an accurate, simple, and easy-to-use method for determining benign and malignant brain tumors. Alfa Cytology combines statistical correction methods and image analysis techniques to determine the DNA content of brain tumor cells and the distribution of DNA ploidy cells. The results of the DNA content analysis of tumor cell nuclei performed by our color image analysis system in brain tumors are important references for the identification of benign and malignant tumors, the determination of malignancy and prognosis, and the clinical selection of treatment options for brain tumors.

General analysis flow

We first place the stained sections under a microscope, and after accurate positioning of the measured cells, the cell images are extracted by a color camera and input into a color image analysis system for processing. Finally, we used a computer to count the percentage of diploid, triploid-tetraploid, pentaploid, and hyperpentaploid cells in each of the lesioned cells of the case.

In addition to the conventional statistical analysis method, we also improved the method. We corrected the DNA content values using image morphology with a nonlinear correction method of support vector regression SVR. This can effectively eliminate the influence of external factors on DNA content measurement and improve the accuracy and objectivity of DNA content values, thus improving the accuracy of brain tumor diagnosis. It is also very significant for studying the relationship between DNA content variation and brain tumors.

• The mathematical morphology expansion algorithm is used to obtain EIOD values.
• Statistical methods are used to obtain EIOD standard values and from these to calculate IOD correction factors for individual cell nuclei.
• Using the characteristic parameters and correction coefficients of cell nuclei, train a correction coefficient regression model by the SVR algorithm and reconstruct the CIOD values of cells using this model and the regression of the SVR algorithm.
• Using the CIOD values of the reference cell nuclei, convert the DNA material content values of each cell nucleus.

Changes in DNA content from cells can be directly used as an important biological indicator of tumor proliferation ability. Alfa Cytology provides an accurate measurement method for DNA substance content of cell nuclei in quantitative cellular analysis, and the method has been improved to enhance the accuracy and interference resistance of DNA substance content measurement. It is possible to obtain an easily understood and utilized DNA substance content that is consistent with medical expression and can be easily applied in diagnostics and research. Please feel free to contact our staff to learn more about how we can accurately obtain changes in DNA content in brain tumor cells.