Spheryx, Inc., New York, NY, 10016, USA.
Sci Rep. 2022 Jul 26;12(1):12746. doi: 10.1038/s41598-022-17098-y.
Total holographic characterization (THC) is presented here as an efficient, automated, label-free method of accurately identifying cell viability. THC is a single-particle characterization technology that determines the size and index of refraction of individual particles using the Lorenz-Mie theory of light scattering. Although assessment of cell viability is a challenge in many applications, including biologics manufacturing, traditional approaches often include unreliable labeling with dyes and/or time consuming methods of manually counting cells. In this work we measured the viability of Saccharomyces cerevisiae yeast in the presence of various concentrations of isopropanol as a function of time. All THC measurements were performed in the native environment of the sample with no dilution or addition of labels. Holographic measurements were made with an in-line holographic microscope using a 40[Formula: see text] objective lens with plane wave illumination. We compared our results with THC to manual counting of living and dead cells as distinguished with trypan blue dye. Our findings demonstrate that THC can effectively distinguish living and dead yeast cells by the index of refraction of individual cells.
总全光特征化(THC)是一种高效、自动化、无标记的方法,可准确识别细胞活力。THC 是一种单颗粒特征化技术,它使用洛伦兹-米理论来确定单个颗粒的大小和折射率。尽管细胞活力评估在许多应用中都是一项挑战,包括生物制品制造,但传统方法通常包括使用染料进行不可靠的标记,以及手动计数细胞的耗时方法。在这项工作中,我们测量了不同浓度异丙醇存在下的酿酒酵母的活力,作为时间的函数。所有 THC 测量都是在样品的自然环境中进行的,没有稀释或添加标签。全息测量是使用具有平面波照明的 40[Formula: see text]物镜的在线全息显微镜进行的。我们将我们的结果与 THC 与使用台盼蓝染料区分死活细胞的手动计数进行了比较。我们的发现表明,THC 可以通过单个细胞的折射率有效地区分死活酵母细胞。