South Fredrick A, Liu Yuan-Zhi, Carney P Scott, Boppart Stephen A
Beckman Institute for Advanced Science and Technology, also with the Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA.
Beckman Institute for Advanced Science and Technology, also with the Departments of Electrical and Computer Engineering, Bioengineering, and Internal Medicine, University of Illinois at Urbana-Champaign, Urbana, IL 61801 USA.
IEEE J Sel Top Quantum Electron. 2016 May-Jun;22(3). doi: 10.1109/JSTQE.2015.2493962. Epub 2015 Nov 2.
Three-dimensional high-resolution optical imaging systems are generally restricted by the trade-off between resolution and depth-of-field as well as imperfections in the imaging system or sample. Computed optical interferometric imaging is able to overcome these longstanding limitations using methods such as interferometric synthetic aperture microscopy (ISAM) and computational adaptive optics (CAO) which manipulate the complex interferometric data. These techniques correct for limited depth-of-field and optical aberrations without the need for additional hardware. This paper aims to outline these computational methods, making them readily available to the research community. Achievements of the techniques will be highlighted, along with past and present challenges in implementing the techniques. Challenges such as phase instability and determination of the appropriate aberration correction have been largely overcome so that imaging of living tissues using ISAM and CAO is now possible. Computed imaging in optics is becoming a mature technology poised to make a significant impact in medicine and biology.
三维高分辨率光学成像系统通常受到分辨率与景深之间权衡的限制，以及成像系统或样本中的缺陷。计算光学干涉成像能够使用诸如干涉合成孔径显微镜（ISAM）和计算自适应光学（CAO）等方法来克服这些长期存在的限制，这些方法可处理复杂的干涉数据。这些技术可校正有限的景深和光学像差，而无需额外的硬件。本文旨在概述这些计算方法，以便研究界能够轻松获取。将突出这些技术的成就，以及实施这些技术过程中过去和现在面临的挑战。诸如相位不稳定性和确定适当的像差校正等挑战已基本得到克服，因此现在使用ISAM和CAO对活组织进行成像成为可能。光学计算成像正成为一项成熟的技术，有望在医学和生物学领域产生重大影响。
