Suppr超能文献

具有结构照明的深度分辨图像映射光谱仪(IMS)

Depth-resolved image mapping spectrometer (IMS) with structured illumination.

作者信息

Gao Liang, Bedard Noah, Hagen Nathan, Kester Robert T, Tkaczyk Tomasz S

机构信息

Department of Bioengineering, Rice University, Houston, Texas 77005, USA.

出版信息

Opt Express. 2011 Aug 29;19(18):17439-52. doi: 10.1364/OE.19.017439.

Abstract

We present a depth-resolved Image Mapping Spectrometer (IMS) which is capable of acquiring 4D (x, y, z, λ) datacubes. Optical sectioning is implemented by structured illumination. The device's spectral imaging performance is demonstrated in a multispectral microsphere and mouse kidney tissue fluorescence imaging experiment. We also compare quantitatively the depth-resolved IMS with a hyperspectral confocal microscope (HCM) in a standard fluorescent bead imaging experiment. The comparison results show that despite the use of a light source with four orders of magnitude lower intensity in the IMS than that in the HCM, the image signal-to-noise ratio acquired by the IMS is 2.6 times higher than that achieved by the equivalent confocal approach.

摘要

我们展示了一种深度分辨图像映射光谱仪(IMS),它能够获取四维(x、y、z、λ)数据立方体。通过结构照明实现光学切片。该设备的光谱成像性能在多光谱微球和小鼠肾脏组织荧光成像实验中得到了证明。我们还在标准荧光珠成像实验中,将深度分辨IMS与高光谱共聚焦显微镜(HCM)进行了定量比较。比较结果表明,尽管IMS中使用的光源强度比HCM中的低四个数量级,但IMS获取的图像信噪比却比等效共聚焦方法高2.6倍。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/02bb/3482898/08ea261749dc/oe-19-18-17439-g001.jpg

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