Blanke Nathan, Gray Alexander J, Robinson Rhiannon E, Novoseltseva Anna, Rosene Douglas L, Bigio Irving J
Department of Biomedical Engineering, Boston University, Boston, MA, United States.
Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, United States.
Imaging Neurosci (Camb). 2024;2. doi: 10.1162/imag_a_00186. Epub 2024 May 17.
Despite the interest in studying and quantifying the structural integrity of myelin in postmortem brain tissue, current methods for high-resolution imaging of myelin with optical microscopy are not sufficient. While imaging methods must have adequate resolution and sensitivity to detect microstructural alterations to myelin that are relevant in aging and neurodegenerative disease, an equally critical aspect is to minimize myelin damage that is induced during tissue processing steps. Birefringence microscopy (BRM) is a powerful technique that leverages the structural anisotropy of myelin to provide detailed, label-free images of myelin at any diffraction-limited optical resolution, while maintaining a simple and low-cost setup. Building on our previous work, we have developed a new BRM system and image processing pipeline that enable efficient, high-throughput imaging of myelin structure at multiple scales. Here, we utilize this system to systematically assess the damage to myelin that is induced by several common tissue processing steps in brain sections from the rhesus monkey. Images taken of the same myelinated axons, before and after each tissue processing step, provide direct evidence that mishandling of tissue during sample preparation can cause significant structural alterations to myelin. First, we report on key advancements to our BRM system, imaging procedure, and image processing pipeline, which provide significant increases to the speed and efficiency of BRM. These include integrating fast piezoelectric rotational stages, minimizing the number of images required (to three images) for determining birefringence parameter maps, and implementing an analytical solution for directly determining birefringence parameter maps. Second, using this BRM system, we demonstrate that effective myelin imaging requires (1) the avoidance of prolonged drying or dehydration of tissue, (2) the selection of the optimal mounting medium (85% glycerol), (3) the avoidance of tissue permeabilization with detergents (i.e., Triton X-100 and Saponin), and (4) the selection of a suitable tissue-section thickness (15, 30 and 60 μm) based on the region of interest. In addition to serving as a guide for new users interested in imaging myelin, these basic experiments in sample preparation highlight that BRM is very sensitive to changes in the underlying lipid structure of myelin and suggest that optimized BRM can enable new studies of myelin breakdown in disease. In this work, we show that BRM is a leading method for detailed imaging and characterization of myelin, and we provide direct evidence that the structure of myelin is highly sensitive to damage during inadequate preparation of brain tissue for imaging, which has previously not been properly characterized for birefringence imaging of myelin. For the most effective, high-resolution imaging of myelin structure, tissue processing should be kept to a minimum, with sections prevented from dehydration and mounted in 85% glycerol. With proper preservation of myelin structure, BRM provides exquisitely detailed images that facilitate the assessment of myelin pathology associated with injury or disease.
尽管对研究和量化死后脑组织中髓鞘的结构完整性很感兴趣,但目前用于光学显微镜下髓鞘高分辨率成像的方法并不充分。成像方法必须具备足够的分辨率和灵敏度,以检测与衰老和神经退行性疾病相关的髓鞘微观结构变化,而同样关键的一个方面是尽量减少组织处理步骤中引起的髓鞘损伤。双折射显微镜(BRM)是一种强大的技术,它利用髓鞘的结构各向异性,以任何衍射极限光学分辨率提供详细的、无标记的髓鞘图像,同时保持简单且低成本的设置。基于我们之前的工作,我们开发了一种新的BRM系统和图像处理流程,能够在多个尺度上对髓鞘结构进行高效、高通量成像。在这里,我们利用该系统系统地评估了恒河猴脑切片中几种常见组织处理步骤对髓鞘造成的损伤。在每个组织处理步骤前后对同一有髓轴突拍摄的图像提供了直接证据,表明样品制备过程中对组织的不当处理会导致髓鞘发生显著的结构改变。首先,我们报告了我们的BRM系统、成像程序和图像处理流程的关键进展,这些进展显著提高了BRM的速度和效率。这些进展包括集成快速压电旋转台、将确定双折射参数图所需的图像数量(减少到三张图像)以及实现直接确定双折射参数图的解析解决方案。其次,使用这个BRM系统,我们证明有效的髓鞘成像需要(1)避免组织长时间干燥或脱水,(2)选择最佳封片剂(85%甘油),(3)避免用去污剂(即Triton X-100和皂苷)使组织通透,以及(4)根据感兴趣区域选择合适的组织切片厚度(15、30和60μm)。除了为对髓鞘成像感兴趣的新用户提供指导外,这些样品制备的基础实验还突出表明BRM对髓鞘潜在脂质结构的变化非常敏感,并表明优化后的BRM能够开展关于疾病中髓鞘分解的新研究。在这项工作中,我们表明BRM是用于髓鞘详细成像和表征的领先方法,并且我们提供了直接证据,表明在脑组织成像准备不充分的过程中,髓鞘结构对损伤高度敏感,而此前对于髓鞘的双折射成像尚未对这一点进行恰当的表征。为了实现最有效、高分辨率的髓鞘结构成像,应尽量减少组织处理,防止切片脱水,并将其封固在85%甘油中。通过妥善保存髓鞘结构,BRM可提供极其详细的图像,便于评估与损伤或疾病相关的髓鞘病理学。