This study will further assess ERG components obtained with different ERG devices, to be considered in a prediction model for each diagnosis. The prediction models are diaMentis proprietary software used as an ERG-based diagnostic test (classified as a Software as Medical Device, SaMD) to support the diagnosis of schizophrenia and bipolar disorder type I. They involve the processing and analysis of specific retinal biosignatures (RSPA) with the support of statistical and mathematical modelling processes e.g. machine learning and statistical learning.