Most metabolic studies using traditional procedures fail to reveal the spatial patterning associated with metabolic flux and cellular metabolism within tissue microenvironments. Here, the authors show the application of multi-scale microscopy, machine learning-based image segmentation and spatial analysis to map the fate of nutrient-derived 13C across spatiotemporal scales.
- Aliyah Habashy
- Christopher Acree
- Rafael Arrojo e Drigo
