Blockface histology with optical coherence tomography: a comparison with Nissl staining.

Blockface histology with optical coherence tomography: a comparison with Nissl staining.
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DOI:
10.1016/j.neuroimage.2013.08.072
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发表时间:
2014-01-01
期刊:
影响因子:
5.7
通讯作者:
Fischl B
Fischl B
中科院分区:
医学1区
文献类型:
--
作者:
Magnain C;Augustinack JC;Reuter M;Wachinger C;Frosch MP;Ragan T;Akkin T;Wedeen VJ;Boas DA;Fischl B

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谱域光学相干断层扫描(SD-OCT)是一种高分辨率成像技术,其基于组织(例如神经元和纤维)的固有光学特性产生优异的对比度。SD-OCT数据采集直接在组织块上进行,减少了切割、封片和染色的需要。我们利用SD-OCT可视化的层状结构的isocortex和比较皮质细胞结构的金标准尼氏染色,定性和定量。在组织学处理中,失真通常会影响与块面图像的配准,并阻止组织区域的准确3D重建。我们分别将块面配准与SD-OCT和Nissl进行了比较,发现SD-OCT-块面配准比Nissl-块面配准准确得多。两名独立观察员手动标记SD-OCT图像和Nissl染色切片中的皮质层(例如III、IV和V)。我们的研究结果表明,OCT图像在皮质中表现出足够的对比度,以可靠地区分皮质层。此外,模式进行了比较方面的皮质层组织,并表现出良好的一致性。总而言之,这些SD-OCT结果表明,SD-OCT在区分皮质层和结构区域方面包含与标准组织学染色(例如Nissl染色)相当的信息。鉴于这些数据,我们提出SD-OCT可用于可靠地生成多立方厘米皮质的3D重建,可用于准确和半自动地执行标准组织学分析。
Spectral domain optical coherence tomography (SD-OCT) is a high resolution imaging technique that generates excellent contrast based on intrinsic optical properties of the tissue, such as neurons and fibers. The SD-OCT data acquisition is performed directly on the tissue block, diminishing the need for cutting, mounting and staining. We utilized SD-OCT to visualize the laminar structure of the isocortex and compared cortical cytoarchitecture with the gold standard Nissl staining, both qualitatively and quantitatively. In histological processing, distortions routinely affect registration to the blockface image and prevent accurate 3D reconstruction of regions of tissue. We compared blockface registration to SD-OCT and Nissl, respectively, and found that SD-OCT-blockface registration was significantly more accurate than Nissl-blockface registration. Two independent observers manually labeled cortical laminae (e.g. III, IV and V) in SD-OCT images and Nissl stained sections. Our results show that OCT images exhibit sufficient contrast in the cortex to reliably differentiate the cortical layers. Furthermore, the modalities were compared with regard to cortical laminar organization and showed good agreement. Taken together, these SD-OCT results suggest that SD-OCT contains information comparable to standard histological stains such as Nissl in terms of distinguishing cortical layers and architectonic areas. Given these data, we propose that SD-OCT can be used to reliably generate 3D reconstructions of multiple cubic centimeters of cortex that can be used to accurately and semi-automatically perform standard histological analyses.
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