Shenzhen Key Laboratory of Marine IntelliSensing and Computation, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Guangdong Research Center of Polarization Imaging and Measurement Engineering Technology, Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, China.
Biosensors (Basel). 2022 Mar 15;12(3):176. doi: 10.3390/bios12030176.
Microalgae play a vital role in aquatic ecological research, but the fine classification of these tiny and various microalgae cells is still challenging for the community. In this paper, we propose a multimodality technique to simultaneously acquire the polarized light scattering, fluorescence and laser-induced acoustic wave signals originated from individual microalgae cells in water. Experiments of different species of and different states of have been conducted to test our experiment setup, and the results demonstrate that this method can well discriminate microalgae cells with pigment or microstructural differences. Moreover, with these modalities, the consumption of absorbed energy is evaluated quantitively, and a possible way to assess photosynthesis on a single-cell level is presented. This work is expected to be a powerful technique to probe the biophysical states of microalgae in the aquatic ecosystem.
微藻在水生生态研究中起着至关重要的作用,但对这些微小而多样的微藻细胞进行精细分类仍然是该领域的挑战。在本文中,我们提出了一种多模态技术,可同时获取源自水中单个微藻细胞的偏振光散射、荧光和激光诱导声波信号。我们已经对不同物种和不同状态的微藻进行了实验,以测试我们的实验设置,结果表明,该方法可以很好地区分具有色素或微观结构差异的微藻细胞。此外,通过这些模态,可以定量评估吸收能量的消耗,并提出一种在单细胞水平上评估光合作用的可能方法。这项工作有望成为探测水生生态系统中微藻生物物理状态的有力技术。