Department of Chemistry, University of Tokyo, Tokyo 113-0033, Japan.
Department of Electrical Engineering and Information Systems, University of Tokyo, Tokyo 113-8656, Japan.
Nat Microbiol. 2016 Aug 1;1(10):16124. doi: 10.1038/nmicrobiol.2016.124.
Understanding metabolism in live microalgae is crucial for efficient biomaterial engineering, but conventional methods fail to evaluate heterogeneous populations of motile microalgae due to the labelling requirements and limited imaging speeds. Here, we demonstrate label-free video-rate metabolite imaging of live Euglena gracilis and statistical analysis of intracellular metabolite distributions under different culture conditions. Our approach provides further insights into understanding microalgal heterogeneity, optimizing culture methods and screening mutant microalgae.
了解活体微藻的代谢对于高效的生物材料工程至关重要,但由于标记要求和有限的成像速度,传统方法无法评估运动微藻的异质群体。在这里,我们展示了对活眼虫的无标记视频速率代谢物成像,以及在不同培养条件下对细胞内代谢物分布的统计分析。我们的方法为深入了解微藻异质性、优化培养方法和筛选突变微藻提供了进一步的见解。