Multi-object, high-throughput, spectro-microscopy

显微镜是一项广泛应用的技术，从生物学到材料和纳米科学。在他们的核心，显微镜主要是基于高数值孔径，短焦距物镜产生的图像，可以看到的眼睛和/或电子记录，通常与3色CCD相机或选择彩色滤光片，但留下完整的光谱细节未知。我们计划通过开发一种技术来革新光谱显微镜领域，该技术可以同时从样品中的多个点提供全彩色光谱。为了用传统显微镜记录高分辨率（空间和光谱）的扩展视场光谱，目前采用的是时间顺序记录技术：要么在整个场景中扫描单个点或一条线的光谱分散图像，要么通过光谱扫描滤波器记录扩展图像，这两种方法都比较慢。我们建议开发一种新的方法，将现有方法的所有优点结合到一个单元中：即一个具有高空间、光谱和时间分辨率的系统。尽管实时、高分辨率的光谱成像已经成为多年来的目标，但目前还没有一种方法能接近这种特征的组合。在同时记录光谱和图像数据的技术中，计算机层析成像光谱仪（CTIS）是最令人感兴趣的。然而，我们的技术更优越，因为它可以不分青红皂白地观察整个场，而不是特定区域，它具有优越的信噪比，最重要的是，它有~1000个频谱通道，而不是~50个。该项目将开发一个演示器，并针对生物显微镜、光谱学和安全性方面的挑战性问题进行基准测试，包括多点SERS和拉曼显微镜，以及一系列生物样品的光谱对比成像。

Microscopy is a pervasive technology with applications from biology to material and nanoscience. At their heart, microscopes are predominately based on high numerical aperture, short focal length objective lenses producing images that can be seen by eye and/or electronically recorded, typically with 3-colour CCD cameras or a selection of coloured filters, but leaving the full spectral details unknown.We plan to revolutionise the field of spectroscopic microscopy by developing a technology that will provide full colour spectrum, simultaneously from many points within a sample. To record high resolution (spatially and spectral) spectra across an extended field of view with a conventional microscope one currently employs a time-sequential recording technique: either a spectrally dispersed image of a single point or a line is scanned across the scene, or an extended image is recorded through a spectrally scanned filter, both methods being comparatively slow. We propose to develop a novel approach combining all the advantages of the existing methods into a single unit: i.e. a system with both high spatial, spectral, and temporal resolution. Although real-time, high-resolution spectral imaging has been a goal for many years no existing approach comes close to this combination of features. Of those techniques that record spectral and image data simultaneously, the Computed Tomographic Imaging Spectrometer (CTIS) is of most interest. However our technique is superior because it can view the whole field indiscriminately, rather than specific regions, it is has a superior signal to noise ratio, and, most importantly, it has ~1000 spectral channels as opposed to ~50. This project will develop a demonstrator and benchmark it against challenging problems in bio microscopy, spectroscopy and security, including multipoint SERS and Raman microscopy, and spectroscopically contrasted imaging in a range of biological samples.