Automated condition-invariable neurite segmentation and synapse classification using textural analysis-based machine-learning algorithms

► Automated machine-learning approach allows accurate segmentation of neurite arborizations. ► Proposed approach provides a significant improvement in accuracy and specificity. ► The algorithm is largely condition invariable. ► Application for automated synapse classification in fluorescence images is presented.