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Enzyme-Linked ImmunoSorbent Assay or ELISA is a method that has a wide application, especially in immunology. Antigens and antibodies can be detected by the method. The basic principle of the method is the reaction of antigen and antibody and the subsequent formation of an immunocomplex. The immunocomplex is detected by a conjugate that causes a color change of the substrate in the presence of antigen or antibody in the test sample. The ELISA test is a simple method important fot the diagnosis of various diseases or laboratory research. This method is a special type of enzyme immunoassay. The bachelor thesis is focused on the general implementation and optimization of the ELISA method. The aim of the theoretical part of the work is a general introduction to immunological methods. The division of individual types of ELISA tests, including the principles and use in practice, is elaborated in detail. In the practical part, the ELISA method is introduced and optimized using a DYNAREAD photometer for reading 96well microtiter plates and AlaDYN software. In this way, a total of 8 test samples of sera are examined and subsequently the obtained data are processed. The test measurement was performed using the QuatiVac ELISA test kit and human IgG antibodies against SARS-CoV-2 in serum were determined. The peaks of SARS-CoV-2 spike proteins expresses recombinantly in the human cell line HEK 293 were used as antigens. The measurement was performed using a DYNAREAD instrument and data processing was performer using AlaDYN software. 6 calibrators, a positive control, a negative control and then individual serum samples were measured. The measurement results are 5 serum samples in which IgG class anti-SARS-CoV-2 antibodies were detected and 3 samples in which no antibodies were detected.