Stack Family Center for Biopharmaceutical Education and Training (CBET), Albany College of Pharmacy and Health Sciences, 257 Fuller Road, Albany, NY 12203, USA.
Nanobioscience Constellation, College of Nanoscale Science and Engineering, SUNY Polytechnic Institute, 257 Fuller Road, Albany, NY 12203, USA.
Curr Opin Biotechnol. 2021 Oct;71:123-129. doi: 10.1016/j.copbio.2021.07.004. Epub 2021 Aug 4.
Cell viability is an essential facet of mammalian and microbial bioprocessing. While robust methods of monitoring cellular health remain critically important to biomanufacturing and biofabrication, the complexity of advanced cell culture platforms often poses challenges for conventional viability assays. This review surveys novel approaches to discern the metabolic, morphological, and mechanistic hallmarks of living systems - spanning subcellular and multicellular scales. While fluorescent probes coupled with 3D image analysis generate rapid results with spatiotemporal detail, molecular techniques like viability PCR can distinguish live cells with genetic specificity. Notably, label-free biosensors can detect nuanced attributes of cellular vital signs with single-cell resolution via optical, acoustic, and electrical signals. Ultimately, efforts to integrate these modalities with automation, machine learning, and high-throughput workflows will lead to exciting new vistas across the cell viability landscape.
细胞活力是哺乳动物和微生物生物加工的一个重要方面。虽然监测细胞健康的稳健方法对生物制造和生物制造仍然至关重要，但先进的细胞培养平台的复杂性常常给传统的活力检测方法带来挑战。本综述调查了新方法来辨别跨越亚细胞和多细胞尺度的生命系统的代谢、形态和力学特征。虽然荧光探针与 3D 图像分析相结合可以快速获得具有时空细节的结果，但像活力 PCR 这样的分子技术可以通过遗传特异性来区分活细胞。值得注意的是，无标记生物传感器可以通过光学、声学和电信号以单细胞分辨率检测细胞生命体征的细微属性。最终，将这些模式与自动化、机器学习和高通量工作流程相结合的努力将为细胞活力领域带来令人兴奋的新前景。
