Abstract

Plate-based quantitative metabolic flux analysis has emerged as the central technology to examine cellular metabolism and mitochondrial bioenergetics. However, accurate interpretation of metabolic activity between different experimental conditions in multi-well microplates requires data normalization based on in situ cell counts. Here, we describe FluxNorm, a platform-independent semi-automated computational workflow, validated for three different cell types, to normalize cell density for accurate assessment of cellular bioenergetics.