Davis Brynmor J, Marks Daniel L, Ralston Tyler S, Carney P Scott, Boppart Stephen A
The Beckman Institute for Advanced Science and Technology and The Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 405 North Mathews Avenue, Urbana, IL 61801, USA.
Sensors (Basel). 2008 Jun 1;8(6):3903-3931. doi: 10.3390/s8063903.
Three-dimensional image formation in microscopy is greatly enhanced by the use of computed imaging techniques. In particular, Interferometric Synthetic Aperture Microscopy (ISAM) allows the removal of out-of-focus blur in broadband, coherent microscopy. Earlier methods, such as optical coherence tomography (OCT), utilize interferometric ranging, but do not apply computed imaging methods and therefore must scan the focal depth to acquire extended volumetric images. ISAM removes the need to scan the focus by allowing volumetric image reconstruction from data collected at a single focal depth. ISAM signal processing techniques are similar to the Fourier migration methods of seismology and the Fourier reconstruction methods of Synthetic Aperture Radar (SAR). In this article ISAM is described and the close ties between ISAM and SAR are explored. ISAM and a simple strip-map SAR system are placed in a common mathematical framework and compared to OCT and radar respectively. This article is intended to serve as a review of ISAM, and will be especially useful to readers with a background in SAR.
计算机成像技术的应用极大地增强了显微镜中的三维图像形成。特别是，干涉合成孔径显微镜（ISAM）能够在宽带相干显微镜中消除离焦模糊。早期的方法，如光学相干断层扫描（OCT），利用干涉测距，但不应用计算机成像方法，因此必须扫描焦深以获取扩展的体积图像。ISAM通过允许从在单个焦深收集的数据进行体积图像重建，消除了对焦深进行扫描的需求。ISAM信号处理技术类似于地震学的傅里叶偏移方法和合成孔径雷达（SAR）的傅里叶重建方法。本文描述了ISAM，并探讨了ISAM与SAR之间的紧密联系。将ISAM和一个简单的条带图SAR系统置于一个通用的数学框架中，并分别与OCT和雷达进行比较。本文旨在对ISAM进行综述，对于具有SAR背景的读者将特别有用。
