Automatic Microbiological Stainer
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 4
Abstract
Most of the research work is being focused on providing automation in all domains especially in the field of medical. This research paper focuses on replacing the manual work in the clinical laboratories for the process of testing or staining the patient’s sample to identify the infected bacteria depending upon the nature of disease and this staining procedure is recommended by World Health Organization (WHO). According to the statistical data from Epidemiological Analysis Program, 78.3% of sputum samples were received for diagnosing TB disease and the rest of the samples for other bacterial infections. The Zihel-Neelsen (Z-N) staining method is used to diagnose Tuberculosis (TB) disease caused by Mycobacterium tuberculosis and Mycobacterium leprae are commonly called as Acid Fast Bacilli (AFB) and Gram staining is used for identifying only the infected bacteria type (positive or negative). During examining those samples, the laboratory technicians (even if experienced) may commit mistakes due to the excess of samples count, fatigue and anxiety. This would lead to have wrong analysis while diagnosing the samples. The proposed idea employs the feasible Automatic Microbiological Stainer (AMS) to overcome the complications are being faced by technicians in the staining processes.
Authors and Affiliations
Priyadharshini R, Vasanthkumar U, Ramya S, Narayanaraja J
Keywords
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