Automating multimodal microscopy with NanoJ-Fluidics

Abstract

Sample processing for biological imaging experiments involves elaborate protocols with low reproducibility and throughput. Here the authors develop an open-source system called NanoJ-Fluidics, composed of off-the-shelf Lego components and an ImageJ-based controller to achieve automated fixation, labelling and imaging of cells.