Within the user interface of Omnisphero it is possible to evaluate the quality of an automated quantification by visualizing the coordinates of identified neurons on the overview image for one or more algorithms and to zoom into regions of interest. This serves the user to estimate the quality of an algorithm for neuronal identification, without the need of a manualy evaluated reference. Additionally, it is also possible to display only coordinates of non identified or falsely identified neurons of one or two automated methods.
The coordinates of non identified neurons enables the user to identify the automated method with the highest DP-value. Additionally close up images can help to identify neuron subpopulations which are lost due to special morphological characteristics not covered by the parameters of an algorithm. This gives valuable information to improve an algorithm. The coordinates of falsely identified neurons reveal the FP-rate of an automated method. Close up images can support information on limitations of a certain algorithm but can also help to spot errors like poor staining quality and unfocused images.
Altogether the visualizations of falsely identified or non identified neurons allows the user to estimate the accuracy and precision of an automated evaluation. A quantification of DP and FP-rates is accessible via a direct comparison against a manual evaluation.