Schuster Benjamin S, Ensign Laura M, Allan Daniel B, Suk Jung Soo, Hanes Justin
Center for Nanomedicine, Johns Hopkins University School of Medicine , Baltimore, MD 21231, USA.
Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Adv Drug Deliv Rev. 2015 Aug 30;91:70-91. doi: 10.1016/j.addr.2015.03.017. Epub 2015 Apr 7.
Particle tracking is a powerful microscopy technique to quantify the motion of individual particles at high spatial and temporal resolution in complex fluids and biological specimens. Particle tracking's applications and impact in drug and gene delivery research have greatly increased during the last decade. Thanks to advances in hardware and software, this technique is now more accessible than ever, and can be reliably automated to enable rapid processing of large data sets, thereby further enhancing the role that particle tracking will play in drug and gene delivery studies in the future. We begin this review by discussing particle tracking-based advances in characterizing extracellular and cellular barriers to therapeutic nanoparticles and in characterizing nanoparticle size and stability. To facilitate wider adoption of the technique, we then present a user-friendly review of state-of-the-art automated particle tracking algorithms and methods of analysis. We conclude by reviewing technological developments for next-generation particle tracking methods, and we survey future research directions in drug and gene delivery where particle tracking may be useful.
粒子追踪是一种强大的显微镜技术,可在复杂流体和生物样本中以高空间和时间分辨率量化单个粒子的运动。在过去十年中,粒子追踪在药物和基因递送研究中的应用及影响大幅增加。得益于硬件和软件的进步,这项技术如今比以往任何时候都更容易获得,并且可以可靠地实现自动化,以便快速处理大型数据集,从而进一步增强粒子追踪在未来药物和基因递送研究中所发挥的作用。我们在本综述开篇讨论基于粒子追踪在表征治疗性纳米颗粒的细胞外和细胞屏障以及表征纳米颗粒大小和稳定性方面取得的进展。为促进该技术更广泛的应用,我们随后对最先进的自动粒子追踪算法和分析方法进行了用户友好型综述。我们通过回顾下一代粒子追踪方法的技术发展来结束本文,并探讨粒子追踪在药物和基因递送中可能有用的未来研究方向。