Qu Yao, Qian Jiahuan, Lu Zhihua, Chen Ruihong, Zhang Sheng, Cui Jingyuan, Song Chenyu, Zhang Haiping, Cui Yafei
Department of Environmental Science, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China.
Shanghai Waterway Engineering Design & Consulting Co., Ltd., Shanghai 200131, China.
Microorganisms. 2025 Jul 30;13(8):1776. doi: 10.3390/microorganisms13081776.
Hydraulic shear has been widely accepted as one of the essential factors modulating phytoplankton growth. Previous experimental studies of algal growth have been conducted at the macroscopic level, and direct observation at the cell scale has been lacking. In this study, an algal-cell dynamic continuous observation platform (ACDCOP) is proposed with a parallel-plate flow chamber (PPFC) to capture cellular growth images which are then used as input to a computer vision algorithm featuring a pre-trained backpropagation neural network to quantitatively evaluate the volumes and volumetric growth rates of individual cells. The platform was applied to investigate the growth of cells under different hydraulic shear stress conditions. The results indicated that the threshold shear stress for the development of cells was 270 µL min (5.62 × 10 m s). Cellular growth was inhibited at very low and very high intensities of hydraulic shear. Among all the experimental groups, the longest growth period for a cell, from attachment to PPFC to cell division, was 5.7 days. Cells with larger initial volumes produced larger volumes at division. The proposed platform could provide a novel approach for algal research by enabling direct observation of algal growth at the cell scale, and could potentially be applied to investigate the impacts of various environmental stressors such as nutrient, temperature, and light on cellular growth in different algal species.
水力剪切已被广泛认为是调节浮游植物生长的重要因素之一。以往关于藻类生长的实验研究都是在宏观层面进行的,缺乏在细胞尺度上的直接观察。在本研究中,提出了一种带有平行板流动腔(PPFC)的藻类细胞动态连续观测平台(ACDCOP),用于捕捉细胞生长图像,然后将这些图像作为输入,输入到一个以预训练的反向传播神经网络为特征的计算机视觉算法中,以定量评估单个细胞的体积和体积生长速率。该平台被用于研究不同水力剪切应力条件下细胞的生长情况。结果表明,细胞发育的阈值剪切应力为270 μL min(5.62×10 m s)。在极低和极高强度的水力剪切作用下,细胞生长受到抑制。在所有实验组中,单个细胞从附着到PPFC到细胞分裂的最长生长周期为5.7天。初始体积较大的细胞在分裂时产生的体积也较大。所提出的平台能够在细胞尺度上直接观察藻类生长,为藻类研究提供了一种新方法,并有可能应用于研究各种环境应激源(如营养物质、温度和光照)对不同藻类物种细胞生长的影响。