New method uses engineered bacteria and AI to sense and record environmental signals CUSEAS nchembio
Plots of dynamic characteristics of engineered strains vs IPTG concentration, measured from one to two time-lapses per condition, per strain. Individual dots represent individual time-lapses or individual phases in all time-lapses . Lines represent the mean of these individual measurements.
Training and validation accuracy and loss for a CNN model which had three convolutional/max pooling blocks, trained on the dataset of images of the dual-input strain at various IPTG and arabinose conditions .. Fine-tuning of three architectures pretrained on ImageNet; righthand panels represent models’ ability to identify the correct image class within its top three predicted classes.. Learning curves of EfficientNet model trained on the dual-input pattern images with regression output.
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