Hardware and software contributions for optimized detection of fluorescent labeled cytokines

Paper presents hardware improvements, step by step, besides to software refinements for the fluorescent labelled cytokines detection, associated to bacterial meningitis diagnosis. The hardware optimization firstly concerns the implementation of a versatile hardware device with the possibility to obtain the finally best solution. The software refinement includes Monte Carlo combined with denoising algorithms. The logistic curve extracted from fluorescent labelled cytokine images, reduces the error vector from 629 to 2.4, offering the best set of parameters.