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应用像差补偿的多光谱共线全息重建技术于革兰氏染色细菌显微镜。

Multispectral in-line hologram reconstruction with aberration compensation applied to Gram-stained bacteria microscopy.

机构信息

Université Jean Monnet Saint-Etienne, CNRS, Institut d Optique Graduate School, Laboratoire Hubert Curien UMR 5516, 42023, Saint-Etienne, France.

bioMérieux, Centre Christophe Mérieux, 38024, Grenoble, France.

出版信息

Sci Rep. 2023 Sep 2;13(1):14437. doi: 10.1038/s41598-023-41079-4.

Abstract

In multispectral digital in-line holographic microscopy (DIHM), aberrations of the optical system affect the repeatability of the reconstruction of transmittance, phase and morphology of the objects of interest. Here we address this issue first by model fitting calibration using transparent beads inserted in the sample. This step estimates the aberrations of the optical system as a function of the lateral position in the field of view and at each wavelength. Second, we use a regularized inverse problem approach (IPA) to reconstruct the transmittance and phase of objects of interest. Our method accounts for shift-variant chromatic and geometrical aberrations in the forward model. The multi-wavelength holograms are jointly reconstructed by favouring the colocalization of the object edges. The method is applied to the case of bacteria imaging in Gram-stained blood smears. It shows our methodology evaluates aberrations with good repeatability. This improves the repeatability of the reconstructions and delivers more contrasted spectral signatures in transmittance and phase, which could benefit applications of microscopy, such as the analysis and classification of stained bacteria.

摘要

在多光谱数字共线数字全息显微镜(DIHM)中,光学系统的像差会影响感兴趣物体的透射、相位和形貌的重建的可重复性。在这里,我们首先通过使用插入样品中的透明珠子进行模型拟合校准来解决这个问题。这一步骤估计了光学系统的像差,作为视场中横向位置和每个波长的函数。其次,我们使用正则化逆问题方法(IPA)来重建感兴趣物体的透射率和相位。我们的方法在正向模型中考虑了随位置变化的色像差和几何像差。通过优先考虑物体边缘的共定位,对多波长全息图进行联合重建。该方法应用于革兰氏染色血涂片上细菌成像的情况。结果表明,我们的方法可以很好地重复评估像差。这提高了重建的可重复性,并在透射率和相位中提供了对比度更好的光谱特征,这可能有益于显微镜应用,例如染色细菌的分析和分类。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8153/10475072/cc18033788a0/41598_2023_41079_Fig1_HTML.jpg

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