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利用傅里叶变换红外显微镜或量子级联激光器对生物材料和生物系统进行光谱成像。

Spectroscopic imaging of biomaterials and biological systems with FTIR microscopy or with quantum cascade lasers.

作者信息

Kimber James A, Kazarian Sergei G

机构信息

Department of Chemical Engineering, Imperial College London, Exhibition Road, London, SW7 2AZ, UK.

出版信息

Anal Bioanal Chem. 2017 Oct;409(25):5813-5820. doi: 10.1007/s00216-017-0574-5. Epub 2017 Aug 29.

Abstract

Spectroscopic imaging of biomaterials and biological systems has received increased interest within the last decade because of its potential to aid in the detection of disease using biomaterials/biopsy samples and to probe the states of live cells in a label-free manner. The factors behind this increased attention include the availability of improved infrared microscopes and systems that do not require the use of a synchrotron as a light source, as well as the decreasing costs of these systems. This article highlights the current technical challenges and future directions of mid-infrared spectroscopic imaging within this field. Specifically, these are improvements in spatial resolution and spectral quality through the use of novel added lenses and computational algorithms, as well as quantum cascade laser imaging systems, which offer advantages over traditional Fourier transform infrared systems with respect to the speed of acquisition and field of view. Overcoming these challenges will push forward spectroscopic imaging as a viable tool for disease diagnostics and medical research. Graphical abstract Absorbance images of a biopsy obtained using an FTIR imaging microscope with and without an added lens, and also using a QCL microscope with high-NA objective.

摘要

在过去十年中,生物材料和生物系统的光谱成像越来越受到关注,因为它有潜力借助生物材料/活检样本辅助疾病检测,并以无标记方式探测活细胞的状态。这种关注度增加背后的因素包括改进的红外显微镜和无需使用同步加速器作为光源的系统的可用性,以及这些系统成本的降低。本文重点介绍了该领域中红外光谱成像当前的技术挑战和未来方向。具体而言,这些包括通过使用新型附加透镜和计算算法提高空间分辨率和光谱质量,以及量子级联激光成像系统,该系统在采集速度和视野方面比传统傅里叶变换红外系统具有优势。克服这些挑战将推动光谱成像成为疾病诊断和医学研究的可行工具。图形摘要 使用配备和不配备附加透镜的傅里叶变换红外成像显微镜以及配备高数值孔径物镜的量子级联激光显微镜获得的活检样本的吸光度图像。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3134/5602084/3e7463d70f28/216_2017_574_Figa_HTML.jpg

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