Literature DB >> 29296503

High axial resolution imaging system for large volume tissues using combination of inclined selective plane illumination and mechanical sectioning.

Qi Zhang1,2, Xiong Yang1,2, Qinglei Hu1,2, Ke Bai1,2, Fangfang Yin1,2, Ning Li1,2, Yadong Gang1,2, Xiaojun Wang1,2, Shaoqun Zeng1,2.   

Abstract

To resolve fine structures of biological systems like neurons, it is required to realize microscopic imaging with sufficient spatial resolution in three dimensional systems. With regular optical imaging systems, high lateral resolution is accessible while high axial resolution is hard to achieve in a large volume. We introduce an imaging system for high 3D resolution fluorescence imaging of large volume tissues. Selective plane illumination was adopted to provide high axial resolution. A scientific CMOS working in sub-array mode kept the imaging area in the sample surface, which restrained the adverse effect of aberrations caused by inclined illumination. Plastic embedding and precise mechanical sectioning extended the axial range and eliminated distortion during the whole imaging process. The combination of these techniques enabled 3D high resolution imaging of large tissues. Fluorescent bead imaging showed resolutions of 0.59 μm, 0.47μm, and 0.59 μm in the x, y, and z directions, respectively. Data acquired from the volume sample of brain tissue demonstrated the applicability of this imaging system. Imaging of different depths showed uniform performance where details could be recognized in either the near-soma area or terminal area, and fine structures of neurons could be seen in both the xy and xz sections.

Keywords:  (170.0180) Microscopy; (170.2520) Fluorescence microscopy; (170.3880) Medical and biological imaging; (180.6900) Three-dimensional microscopy

Year:  2017        PMID: 29296503      PMCID: PMC5745118          DOI: 10.1364/BOE.8.005767

Source DB:  PubMed          Journal:  Biomed Opt Express        ISSN: 2156-7085            Impact factor:   3.732


  30 in total

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Journal:  Nat Commun       Date:  2016-07-04       Impact factor: 14.919

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