从多个剪切方向恢复微分干涉差显微镜图像。

Restoring DIC microscopy images from multiple shear directions.

作者信息

Yin Zhaozheng, Ker Dai Fei Elmer, Kanade Takeo

机构信息

Robotics Institute, Carnegie Mellon University, Pittsburgh, USA.

出版信息

Inf Process Med Imaging. 2011;22:384-97. doi: 10.1007/978-3-642-22092-0_32.

DOI:10.1007/978-3-642-22092-0_32

PMID:21761672

Abstract

Differential Interference Contrast (DIC) microscopy is a nondestructive imaging modality that has been widely used by biologists to capture microscopy images of live biological specimens. However, as a qualitative technique, DIC microscopy records specimen's physical properties in an indirect way by mapping the gradient of specimen's optical path length (OPL) into the image intensity. In this paper, we propose to restore DIC microscopy images by quantitatively estimating specimen's OPL from a collection of DIC images captured from multiple shear directions. We acquire the DIC images by rotating the specimen dish on the microscope stage and design an Iterative Closest Point algorithm to register the images. The shear directions of the image dataset are automatically estimated by our coarse-to-fine grid search algorithm. We develop a direct solver on a regularized quadratic cost function to restore DIC microscopy images. The restoration from multiple shear directions decreases the ambiguity among different individual restorations. The restored DIC images are directly proportional to specimen's physical measurements, which is very amenable for microscopy image analysis such as cell segmentation.

摘要

微分干涉差（DIC）显微镜术是一种无损成像方式，已被生物学家广泛用于获取活生物标本的显微镜图像。然而，作为一种定性技术，DIC显微镜术通过将标本光程长度（OPL）的梯度映射到图像强度，以间接方式记录标本的物理特性。在本文中，我们建议通过从多个剪切方向捕获的一组DIC图像中定量估计标本的OPL来恢复DIC显微镜图像。我们通过在显微镜载物台上旋转标本盘来获取DIC图像，并设计了一种迭代最近点算法来配准图像。图像数据集的剪切方向由我们的粗到细网格搜索算法自动估计。我们在正则化二次代价函数上开发了一种直接求解器来恢复DIC显微镜图像。从多个剪切方向进行恢复减少了不同个体恢复之间的模糊性。恢复后的DIC图像与标本的物理测量值成正比，这非常适合用于细胞分割等显微镜图像分析。