Figure 3.

Development of the SPyDERMAN diagnostics platform and performance evaluation with 179 patient samples. (a) Schematic of the development of the adversarial neural networks with conditioning-based image classifier for smartphone-taken microchip images. The general architecture of the adversarial domain adaptive neural network is shown. (b) Examples of real smartphone-taken microfluidic chip images for each assay format alongside synthetic microchip images generated by StyleGANs. (c) Degree of microchip images separability visualized by t-SNE. (d) Scatter plots showing results of the adversarial neural networks with conditioning-based image classifiers on individual patient samples. Cut-off values for defining positive samples are shown as dotted lines. (e) Forest plots demonstrating the overall performance of the network models.