Blaha Maximilian Emanuel, Hasan Sadat, Dusny Christian, Belder Detlev
Institute for Analytical Chemistry, Leipzig University, Linnéstraße 3, 04103 Leipzig, Germany.
Department Solar Materials, Helmoltz-Centre for Environmental Research - UFZ Leipzig, Permoserstr. 15, 04318 Leipzig, Germany.
Lab Chip. 2022 Apr 12;22(8):1604-1614. doi: 10.1039/d2lc00032f.
This study presents the label-free sorting of cyanobacterial cells in droplets with single-cell sensitivity based on their fluorescence lifetime. We separated living and dead cyanobacteria ( sp. PCC6803) using fluorescence lifetime signals of the photopigment autofluorescence to indicate their photosynthetic activity. We developed a setup and a chip design to achieve live/dead sorting accuracies of more than 97% at a droplet frequency of 100 Hz with a PDMS-based chip system and standard optics using fluorescence lifetime as the sorting criterion. The obtained sorting accuracies could be experimentally confirmed by cell plating and observing the droplet sorting process a high-speed camera. The herein presented results demonstrate the capabilities of the developed system for studying the effects of stressors on cyanobacterial physiology and the subsequent deterministic sorting of different stress-response phenotypes. This technology eliminates the need for tedious staining of cyanobacterial cells, which makes it particularly attractive for its application in the field of phototrophic microbial bio(techno)logic and in the context of cell secretion studies.
本研究基于蓝藻细胞的荧光寿命,实现了在液滴中对蓝藻细胞进行无标记单细胞灵敏度分选。我们利用光合色素自发荧光的荧光寿命信号来指示其光合活性,从而分离活的和死的蓝藻(聚球藻属PCC6803)。我们开发了一种装置和芯片设计,使用基于聚二甲基硅氧烷(PDMS)的芯片系统和标准光学器件,以荧光寿命作为分选标准,在液滴频率为100 Hz时实现了97%以上的活/死分选准确率。通过细胞铺板和使用高速相机观察液滴分选过程,可以通过实验证实所获得的分选准确率。本文展示的结果证明了所开发系统在研究应激源对蓝藻生理的影响以及随后对不同应激反应表型进行确定性分选方面的能力。这项技术消除了对蓝藻细胞进行繁琐染色的需要,这使得它在光合微生物生物(技术)学领域以及细胞分泌研究中具有特别的吸引力。