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高灵敏度夏克-哈特曼波前传感器:在自适应光片荧光显微镜对不透明组织模拟物成像中的应用

Highly Sensitive Shack-Hartmann Wavefront Sensor: Application to Non-Transparent Tissue Mimic Imaging with Adaptive Light-Sheet Fluorescence Microscopy.

作者信息

Morgado Brajones Javier, Clouvel Gregory, Dovillaire Guillaume, Levecq Xavier, Lorenzo Corinne

机构信息

ITAV, Université de Toulouse, CNRS, 31106 Toulouse, France.

Imagine Optic, 91400 Orsay, France.

出版信息

Methods Protoc. 2019 Jul 11;2(3):59. doi: 10.3390/mps2030059.

Abstract

High-quality in-depth imaging of three-dimensional samples remains a major challenge in modern microscopy. Selective plane illumination microscopy (SPIM) is a widely used technique that enables imaging of living tissues with subcellular resolution. However, scattering, absorption, and optical aberrations limit the depth at which useful imaging can be done. Adaptive optics (AOs) is a method capable of measuring and correcting aberrations in different kinds of fluorescence microscopes, thereby improving the performance of the optical system. We have incorporated a wavefront sensor adaptive optics scheme to SPIM (SPIM) to correct aberrations induced by optically-thick samples, such as multi-cellular tumor spheroids (MCTS). Two-photon fluorescence provides us with a tool to produce a weak non-linear guide star (NGS) in any region of the field of view. The faintness of NGS; however, led us to develop a high-sensitivity Shack-Hartmann wavefront sensor (SHWS). This paper describes this newly developed SHWS and shows the correction capabilities of SPIM using NGS in thick, inhomogeneous samples like MCTS. We report improvements of up to 79% for spatial frequencies corresponding to cellular and subcellular size features.

摘要

对三维样本进行高质量的深度成像仍是现代显微镜技术面临的一项重大挑战。选择性平面照明显微镜(SPIM)是一种广泛应用的技术,能够以亚细胞分辨率对活组织进行成像。然而,散射、吸收和光学像差限制了可进行有效成像的深度。自适应光学(AO)是一种能够测量和校正不同类型荧光显微镜中像差的方法,从而提高光学系统的性能。我们已将一种波前传感器自适应光学方案整合到SPIM中,以校正由光学厚度较大的样本(如多细胞肿瘤球体(MCTS))引起的像差。双光子荧光为我们提供了一种在视场的任何区域产生弱非线性导星(NGS)的工具。然而,NGS的微弱性促使我们开发一种高灵敏度的夏克-哈特曼波前传感器(SHWS)。本文介绍了这种新开发的SHWS,并展示了在像MCTS这样的厚且不均匀样本中使用NGS对SPIM的校正能力。我们报告称,对于与细胞和亚细胞大小特征相对应的空间频率,改善幅度高达79%。

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