Suppr超能文献

基于主成分分析的定量微分干涉对比显微镜。

Principal component analysis-based quantitative differential interference contrast microscopy.

出版信息

Opt Lett. 2019 Jan 1;44(1):45-48. doi: 10.1364/OL.44.000045.

Abstract

Classical differential interference contrast (DIC) microscopy is an excellent tool for rendering high-contrast images to observe transparent specimen. Though the monochromatic shadow-cast image qualitatively reflects the specimen configuration, its phase can hardly be extracted, inevitably limiting its application in quantitative measurements. In order to extend its application, we propose a quantitative DIC (qDIC) microscopy technique, which can extract the specimen phase from phase-shifting beam-shearing interference images combining principal component analysis (PCA) and phase integration methods. Proved by both simulations and experiments, the PCA-based qDIC microscopy can rapidly and accurately retrieve the quantitative specimen phase. The new proposed technique shares with conventional DIC the advantage of high-contrast imaging, especially for transparent label-free specimens, but transforms DIC microscopy into a quantitative phase microscopy technique. We envision PCA-based qDIC microscopy as a future quantitative biological imaging modality.

摘要

经典微分干涉差(DIC)显微镜是一种出色的工具,可用于生成高对比度图像以观察透明标本。虽然单色阴影投射图像定性地反映了标本的结构,但很难提取其相位,这不可避免地限制了其在定量测量中的应用。为了扩展其应用,我们提出了一种定量 DIC(qDIC)显微镜技术,该技术可以通过主成分分析(PCA)和相位积分方法从相移光束剪切干涉图像中提取标本相位。通过模拟和实验证明,基于 PCA 的 qDIC 显微镜可以快速准确地获取定量标本相位。新提出的技术与传统 DIC 具有高对比度成像的优势,特别是对于透明的无标记标本,但将 DIC 显微镜转变为定量相位显微镜技术。我们设想基于 PCA 的 qDIC 显微镜将成为未来的定量生物成像模式。

相似文献

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