Improvement in Throughput and Accuracy ofNeutralization Assay Results by the Automation ofImage Acquisition and Analysis
2020
Quantification neutralizing antibodies methods are crucial in the development and
evaluation of new antiviral vaccines effectiveness and the assay most commonly used is
the Plaque-Reduction Neutralization Test (PRNT). However, PRNT and its variations like
FRNT (or microPRN) are time-consuming, not amenable to a large number of samples and
difficult to adapt to a high throughput routine. Furthermore, the assay tends to have large
variations among different analysts due to visual plaque recognition and manual counting
errors. Therefore, providing a faster and more accurate counting for the neutralizing
antibodies assays would minimize human inherent variations. Thus, innovations such
as the automation at critical steps can increase throughput, reduce rework and generate
more accurate results for vaccines developing and diagnosis. Companies specialized
in microscopy, robotics and information technology developed robust systems able to
standardize the image acquisition and processing for neutralization assays, which could
aid the public health response to emerging viral diseases. In this context, automated
systems have been used to obtain images and to identify morphological patterns setting
the best ranges for the structures of interest, such as circularity, size, color intensity and
other attributes.
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