Princeton Neuroscience Institute, Princeton University, Princeton, United States.
Paul Scherrer Institute, Villigen, Switzerland.
Elife. 2022 Oct 20;11:e72147. doi: 10.7554/eLife.72147.
Electron microscopy of biological tissue has recently seen an unprecedented increase in imaging throughput moving the ultrastructural analysis of large tissue blocks such as whole brains into the realm of the feasible. However, homogeneous, high-quality electron microscopy staining of large biological samples is still a major challenge. To date, assessing the staining quality in electron microscopy requires running a sample through the entire staining protocol end-to-end, which can take weeks or even months for large samples, rendering protocol optimization for such samples to be inefficient. Here, we present an in situ time-lapsed X-ray-assisted staining procedure that opens the 'black box' of electron microscopy staining and allows observation of individual staining steps in real time. Using this novel method, we measured the accumulation of heavy metals in large tissue samples immersed in different staining solutions. We show that the measured accumulation of osmium in fixed tissue obeys empirically a quadratic dependence between the incubation time and sample size. We found that potassium ferrocyanide, a classic reducing agent for osmium tetroxide, clears the tissue after osmium staining and that the tissue expands in osmium tetroxide solution, but shrinks in potassium ferrocyanide reduced osmium solution. X-ray-assisted staining gave access to the in situ staining kinetics and allowed us to develop a diffusion-reaction-advection model that accurately simulates the measured accumulation of osmium in tissue. These are first steps towards staining experiments and simulation-guided optimization of staining protocols for large samples. Hence, X-ray-assisted staining will be a useful tool for the development of reliable staining procedures for large samples such as entire brains of mice, monkeys, or humans.
最近,生物组织的电子显微镜成像通量有了前所未有的提高,这使得对整个大脑等大型组织块的超微结构分析成为可能。然而,对大型生物样本进行均匀、高质量的电子显微镜染色仍然是一个主要挑战。迄今为止,评估电子显微镜中的染色质量需要将样本从头到尾按照整个染色方案进行处理,对于大型样本来说,这可能需要数周甚至数月的时间,因此针对此类样本的方案优化效率不高。在这里,我们提出了一种原位时间分辨的 X 射线辅助染色方法,它打开了电子显微镜染色的“黑盒子”,可以实时观察各个染色步骤。使用这种新方法,我们测量了浸入不同染色溶液中的大型组织样本中重金属的积累。我们表明,固定组织中锇的积累与孵育时间和样本大小之间的经验二次关系相符。我们发现,经典的锇四氧化物还原剂亚铁氰化钾在锇染色后可以清除组织,并且组织在锇四氧化物溶液中膨胀,而在还原的锇四氧化物溶液中收缩。X 射线辅助染色使我们能够获得原位染色动力学,并允许我们开发一个扩散-反应-对流模型,该模型可以准确模拟组织中锇的积累。这些都是进行染色实验和模拟引导的大型样本染色方案优化的第一步。因此,X 射线辅助染色将成为开发可靠的大型样本染色程序的有用工具,例如整只老鼠、猴子或人类的大脑。