Design and Development Of Automatic Antimicrobial Susceptibility Test Smart System using image Processing and Deep Learning

Abstract

ABSTRACT newlineAntimicrobial Susceptibility Test (AST) is the key diagnosis tool to address newlinebacterial infections of both animals and humans. Among the Large variety of AST newlinemethods, some will give rapid results within hours but are costly and need high skills. newlineTraditional AST methods like disc diffusion methods are cheaper but take a 72 hours long newlinetime. To optimize these two an integrated AST smart system with less skills is required for newlinemore accurate and rapid results. In this proposed project the emerging technologies like newlineNano Technology, AI, DL and IoT are used to develop the Smart system. newlineMost of the animal farms are located in remote places, an automated AST system newlinewith less expertise is beneficial for diagnosis. Digitalization and IoT are the key tools for newlinethe penetration of the systems to the farmers at remote locations. newlineToday extensive research is going on for the integration of digital technologies with newlinestandard ASTs. Emerging technologies like image processing, nanotechnology, IoT, and newlineartificial intelligence helps to accelerate AST for rapid and accurate results also lead to the newlineautomation of the system to provide e-prescription especially for veterinary applications. newlineTo assess the susceptibility of antibiotics against bacteria a variety of AST methods newlineexist. The selection of the AST technique will be based on several factors such as accuracy, newlinethe minimal effort of procedure, flexibility, cost, test time, and ability to adapt to an newlineautomatic system. Although slow standard methods are used for the AST because they are newlineprecise and economical. Among all the available methods for AST disc diffusion is the newlinecheaper one, requires less skill, and is applicable for telemetry. newlineIn this research to automate the AST method for best in terms of cost, time, and newlineaccuracy a new procedure is developed. Isolation of bacteria takes approximately 24hours newlinetime in the standard disc diffusion test. For rapid AST nanoparticles play a vital role. In the newlinedeveloped procedure by using magnetic nanoparticles bacteria will be sep