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Comparative study of fully three-dimensional reconstruction algorithms for lens-free microscopy

机译:无透镜显微镜全三维重建算法的比较研究

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We propose a three-dimensional (3D) imaging platform based on lens-free microscopy to perform multiangle acquisitions on 3D cell cultures embedded in extracellular matrices. Lens-free microscopy acquisitions present some inherent issues such as the lack of phase information on the sensor plane and a limited angular coverage. We developed and compared three different algorithms based on the Fourier diffraction theorem to obtain fully 3D reconstructions. These algorithms present an increasing complexity associated with a better reconstruction quality. Two of them are based on a regularized inverse problem approach. To compare the reconstruction methods in terms of artefact reduction, signal-to-noise ratio, and computation time, we tested them on two experimental datasets: an endothelial cell culture and a prostate cell culture grown in a 3D extracellular matrix with large reconstructed volumes up to similar to 5 mm(3) with a resolution sufficient to resolve isolated single cells. The lens-free reconstructions compare well with standard microscopy. (C) 2017 Optical Society of America
机译:我们提出了一种基于无透镜显微镜的三维(3D)成像平台,以在嵌入细胞外基质中的3D细胞培养物上进行多聚集采集。无镜头的显微镜采集存在一些固有的问题,例如传感器平面上缺少相位信息和有限的角度覆盖。我们基于傅里叶衍射定理开发并比较了三种不同的算法,以获得完全3D重建。这些算法呈现出与更好的重建质量相关的复杂性。其中两个基于正常的逆问题方法。为了将重建方法与人工制品减少,信噪比和计算时间进行比较,我们在两个实验数据集中测试它们:内皮细胞培养和在3D细胞外基质中生长的前列腺细胞培养物,具有大型重建量与5mm(3)类似,分辨率足以解析分离的单细胞。无镜头重建与标准显微镜相比很好。 (c)2017年光学学会

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