Stanciu Stefan G, Tranca Denis E, Hristu Radu, Stanciu George A
Center for Microscopy-Microanalysis and Information Processing, University Politehnica of Bucharest, Bucharest, 060042, Romania.
Biomed Opt Express. 2017 Nov 7;8(12):5374-5383. doi: 10.1364/BOE.8.005374. eCollection 2017 Dec 1.
Apertureless scanning near-field optical microscopy (ASNOM) has attracted considerable interest over the past years as a result of its valuable contrast mechanisms and capabilities for optical resolutions in the nanoscale range. However, at this moment the intersections between ASNOM and the realm of bioimaging are scarce, mainly due to data interpretation difficulties linked to the limited body of work performed so far in this field and hence the reduced volume of supporting information. We propose an imaging approach that holds significant potential for alleviating this issue, consisting of correlative imaging of biological specimens using a multimodal system that incorporates ASNOM and confocal laser scanning microscopy (CLSM), which allows placing near-field data into a well understood context of anatomical relevance. We demonstrate this approach on zebrafish retinal tissue. The proposed method holds important implications for the in-depth understanding of biological items through the prism of ASNOM and CLSM data complementarity.
无孔径扫描近场光学显微镜(ASNOM)在过去几年中引起了广泛关注,这得益于其宝贵的对比度机制以及在纳米尺度范围内实现光学分辨率的能力。然而,目前ASNOM与生物成像领域的交叉研究较少,主要原因是与该领域目前有限的研究工作相关的数据解读困难,进而导致支持信息的数量减少。我们提出了一种成像方法,该方法在缓解这一问题方面具有巨大潜力,它由使用结合了ASNOM和共聚焦激光扫描显微镜(CLSM)的多模态系统对生物标本进行相关成像组成,这使得近场数据能够置于解剖学相关性明确的背景中。我们在斑马鱼视网膜组织上展示了这种方法。所提出的方法对于通过ASNOM和CLSM数据互补深入理解生物对象具有重要意义。