Suppr超能文献

用于医学诊断的定量相位成像。

Quantitative phase imaging for medical diagnosis.

作者信息

Majeed Hassaan, Sridharan Shamira, Mir Mustafa, Ma Lihong, Min Eunjung, Jung Woonggyu, Popescu Gabriel

机构信息

Quantitative Light Imaging Lab, Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana Champaign, 405 N. Mathews Ave., Urbana, IL, 61801, USA.

Biomedical Engineering Department, University of California Davis, Genome and Biomedical Sciences Facility #2603B, 451 Health Science Dr., Davis, CA, 95616, USA.

出版信息

J Biophotonics. 2017 Feb;10(2):177-205. doi: 10.1002/jbio.201600113. Epub 2016 Aug 19.

Abstract

Optical microscopy is an indispensable diagnostic tool in modern healthcare. As a prime example, pathologists rely exclusively on light microscopy to investigate tissue morphology in order to make a diagnosis. While advances in light microscopy and contrast markers allow pathologists to visualize cells and tissues in unprecedented detail, the interpretation of these images remains largely subjective, leading to inter- and intra-observer discrepancy. Furthermore, conventional microscopy images capture qualitative information which makes it difficult to automate the process, reducing the throughput achievable in the diagnostic workflow. Quantitative Phase Imaging (QPI) techniques have been advanced in recent years to address these two challenges. By quantifying physical parameters of cells and tissues, these systems remove subjectivity from the disease diagnosis process and allow for easier automation to increase throughput. In addition to providing quantitative information, QPI systems are also label-free and can be easily assimilated into the current diagnostic workflow in the clinic. In this paper we review the advances made in disease diagnosis by QPI techniques. We focus on the areas of hematological diagnosis and cancer pathology, which are the areas where most significant advances have been made to date. [Image adapted from Y. Park, M. Diez-Silva, G. Popescu, G. Lykotrafitis, W. Choi, M. S. Feld, and S. Suresh, Proc. Natl. Acad. Sci. 105, 13730-13735 (2008).].

摘要

光学显微镜是现代医疗保健中不可或缺的诊断工具。举个典型例子,病理学家完全依靠光学显微镜来研究组织形态以进行诊断。虽然光学显微镜和对比标记技术的进步使病理学家能够以前所未有的细节观察细胞和组织,但对这些图像的解读在很大程度上仍然是主观的,这导致了观察者之间和观察者内部的差异。此外,传统显微镜图像捕捉的是定性信息,这使得自动化处理过程变得困难,降低了诊断工作流程中的通量。近年来,定量相位成像(QPI)技术不断发展以应对这两个挑战。通过量化细胞和组织的物理参数,这些系统消除了疾病诊断过程中的主观性,并便于实现自动化以提高通量。除了提供定量信息外,QPI系统也是无标记的,并且可以很容易地融入临床当前的诊断工作流程。在本文中,我们回顾了QPI技术在疾病诊断方面取得的进展。我们重点关注血液学诊断和癌症病理学领域,这是迄今为止取得最显著进展的领域。[图片改编自Y. Park、M. Diez - Silva、G. Popescu、G. Lykotrafitis、W. Choi、M. S. Feld和S. Suresh,《美国国家科学院院刊》105, 13730 - 13735 (2008)。]

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验