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通过全息方法对微流道中的贴壁细胞进行成像,这些细胞被流动的 RBC 作为闭塞物隐藏。

Imaging adherent cells in the microfluidic channel hidden by flowing RBCs as occluding objects by a holographic method.

机构信息

CNR-National Institute of Optics (INO), Via Campi Flegrei, 34, I-80078, Pozzuoli (NA), Italy.

出版信息

Lab Chip. 2014 Jul 21;14(14):2499-504. doi: 10.1039/c4lc00290c.

Abstract

Imaging through turbid media is a challenging topic. A liquid is considered turbid when dispersed particles provoke strong light scattering, thus destroying the image formation by any standard optical system. Generally, colloidal solutions belong to the class of turbid media since dispersed particles have dimensions ranging between 0.2 μm and 2 μm. However, in microfluidics, another relevant issue has to be considered in the case of flowing liquid made of a multitude of occluding objects, e.g. red blood cells (RBCs) flowing in veins. In such a case instead of severe scattering processes unpredictable phase delays occur resulting in a wavefront distortion, thus disturbing or even hindering the image formation of objects behind such obstructing layer. In fact RBCs can be considered to be thin transparent phase objects. Here we show that sharp amplitude imaging and phase-contrast mapping of cells hidden behind biological occluding objects, namely RBCs, is possible in harsh noise conditions and with a large field-of view by Multi-Look Digital Holography microscopy (ML-DH). Noteworthy, we demonstrate that ML-DH benefits from the presence of the RBCs, providing enhancement in terms of numerical resolution and noise suppression thus obtaining images whose quality is higher than the quality achievable in the case of a liquid without occlusive objects.

摘要

混浊介质中的成像是一个具有挑战性的话题。当分散的粒子引起强烈的光散射时,液体就被认为是混浊的,从而破坏了任何标准光学系统的成象。一般来说,胶体溶液属于混浊介质的范畴,因为分散的粒子的尺寸在 0.2μm 到 2μm 之间。然而,在微流控中,对于由大量阻塞物体组成的流动液体,例如静脉中流动的红细胞(RBC),需要考虑另一个相关问题。在这种情况下,会发生不可预测的相位延迟而不是严重的散射过程,从而导致波前失真,从而干扰甚至阻碍阻塞层后面物体的成象。事实上,RBC 可以被认为是薄的透明相位物体。在这里,我们展示了通过多视数字全息显微镜(ML-DH),即使在恶劣的噪声条件下和大视场中,也可以对隐藏在生物阻塞物体(即 RBC)后面的细胞进行清晰的振幅成像和相衬映射。值得注意的是,我们证明了 ML-DH 受益于 RBC 的存在,从而提高了数值分辨率和噪声抑制,从而获得了质量高于无阻塞物体液体情况下的图像。

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