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超高速顯微RIMA激光系統(tǒng)是高精度、面成像激光拉曼技術(shù)，具有速度快，功率密度低等特點！由Photon公司開發(fā)的整視場儀（RIMA™）可對大面積（1mmx1mm及更大）的*材料進(jìn)行快速光譜和空間表征

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超高速顯微

RIMA激光系統(tǒng)是高精度、面成像激光拉曼技術(shù)，具有速度快，功率密度低等特點！

由Photon公司開發(fā)的整視場儀（RIMA™）可對大面積（1 mm x 1 mm及更大）的*材料進(jìn)行快速光譜和空間表征。該設(shè)備與高分辨率的高光譜結(jié)合，采用面成像技術(shù)，將激光擴束后，用特殊的光學(xué)元件將擴束后的高斯分布的激光整形成均勻分布的平頂激光，照射在樣品上，濾除反射的激光后，所有激發(fā)的拉曼光和再通過可調(diào)為主的高光譜成像組件，成像在上，可在幾分鐘內(nèi)完成，以像元為單位，可以形成高達(dá)十萬組數(shù)據(jù)。是目前市面上相對快的拉曼成像設(shè)備. RIMA™捕獲整個視場的單色圖像，一個波長接一個波長。RIMA™是一款*的拉曼成像顯微系統(tǒng)，它可以提供有關(guān)于晶體生長，粒子數(shù)量分布，均勻性，壓力或者其它關(guān)鍵屬性的信息。通過將從拉曼光譜指紋獲得的豐富信息與高光譜成像的速度相結(jié)合，RIMA™擴展了樣品分析的范圍，是材料和生物醫(yī)學(xué)領(lǐng)域強大的成像手段

產(chǎn)品特點
1. 快速global mapping（非掃描式）
2. 百萬像素拉曼光譜，成像時間僅幾分鐘
3. 斯托克斯和反斯托克斯
4. 高光譜分辨率和空間分辨率

設(shè)備原理圖：

系統(tǒng)參數(shù)：

	RIMA 532	RIMA 660	RIMA 785
Spectral Range*	190 to 4000 cm-1	100 to 4000 cm-1	130 to 3200 cm-1
Spectral Resolution	< 7="">	<>	<>
Microscope	Upright	Upright	Inverted
Objectives	20X, 50X, 100X	20X, 50X, 100X	20X, 60X, 100X
Excitation Wavelengths*	532nm	660nm	785nm
Spatial Resolution	Sub-micron
Maximum Scanning Speed	250 μm2/min at full spectral range
Wavelegth Absolute Accuracy	1 cm-1
Camera*	Back-illuminated CCD or camera 1024x1024 px
Video Mode	Megapixel camera for sample vizualisation
Preprocessing	Spatial ing, statistical tools, spectrum extraction, data normalization, spectral calibration
Hyperspectral Data Format	FITS, HDF5
Single Image Data Format	JPG, PNG, TIFF, CSV, PDF, SGV
Software	Computer with PHySpecTM control and analysis software included

應(yīng)用領(lǐng)域：

單層石墨烯鑒別

Graphene, one of the most popular allotropes of carbon, has sparked broad interest in the field of material science since it was first isolated in 2004 by Professors Geim and Novoselov (University of Manchester). Curren tly, the synthesis of large-scale graphene on copper surfaces by chemical vapor deposition (CVD) is being explored by the scientific community. Despite considerable efforts, CVD graphene in different growth conditions exhibits various morphologies such as the presence of hillocks, defects, grain boundaries and multilayer islａnd formation, effects which researchers are attempting to mitigate. But to be able toexhaustively study the composition of these samples, hyperspectral Raman imaging was required, and was carried out on CVD monolayer graphene with bilayer islands. Raman spectroscopy is a non-destructive analysis method that provides microscopic structural information by comparing a sample’s spectrum with reference spectra. Here, we present selected results from Prof. Martel’s group at Université de Montréal obtained during the investigation of the formation of graphene multilayer islands during Chemical Vapor Deposition growth with methane as feedstock. Known Raman signatures of the different configurations of graphene were used in this study to map the number of layers of the samples.

Raman imaging was performed with the hyperspectral Raman imaging platform RIMA™ based on Bragg tunable filter technology. In these measurements, a CW laser at λ = 532 nm illuminated 130 × 130 μm2 and 260 × 260 μm2 sample surface areas through 100X and 50X microscope objectives respectively. In this configuration, the sample was excited with 120 μW/μm2 and 30 μW/μm2 and the resolution was diffraction limited.

FIG. 1 (a) presents a 130 × 130 μm2 Raman map of graphene’s G bａnd (～1590 cm-1) in three different families: monolayer graphene (blue), bilayer graphene in resonance (red) and bilayer graphene out of resonance (green). Their typical associated Raman spectra are presented in FIG. 1 (b-c). The intensity variations of the G bａnd reveal information on the stacking of the layers. The most significant changes in intensity observed in FIG. 1 (b) can be explained by resonance resulting from the twisted angle (13.5° at λexc = 532 nm [1]) of the bilayer graphene. FIG. 1 (d-f) presents similar results as in FIG. 1 (a-c), but data were acquired from a larger area: 260 × 260 μm2. The intrinsic specificity of Raman scattering combined with global imaging capabilities allows users to assess large maps (hundreds of microns) of defects, number of layers and stacking order, etc.

納米材料分析

Global Raman imaging is an exceptional technique for the analysis of large surfaces of thin films and advanced materials. Its rapidity makes it a great tool not only for universities and research institutes, but also for industrial laboratories. With no or minimal sample preparation, RIMA™, .’s new hyperspectral Raman imager, can easily take part in routine analysis, where the prompt access to information about sample composition is crucial for the development of new materials.

With systems based on point-to-point or scanning technologies, the acquisition of maps of large areas is often tedious and time consuming: the analysis of a sample may take hours. RIMA™ expedites in minutes the acquisition of the whole area in the field of view, rendering full maps of a sample with unmatched rapidity. In fact, the hyperspectral cube is built image by image, along the spectral window of interest, with a spectral resolution better than 7 cm--1. Since a spectrum is recorded for each pixel, it is possible, with a 1024 x 1024 pixels camera, to collect more than one million spectra without moving the sample. Moreover, the size of the maps can be as large as 650 x 650 mm2, depending on the magnification of the objective used for the analysis. Photon etc.’s filters used for hyperspectral imaging are based on holographic gratings, and provide very high efficiency for an optimal acquisition of the weak Raman scattering. Combined with top of the line low noise CCD or cameras, RIMA™ is the most efficient Raman imaging system on the market.

In order to show the advantages of RIMA™ in the analysis of nanomaterials in biological systems, carbon nanotubes (CNT) have been incubated with a sample of Candida Albicans yeast cells and exposed to a homogeneous (flat-top) laser excitation of 532 nm on the entire field of view. With a 50X objective, an area of 260 x 130 μm2 was imaged, with a step of 4.5 cm--1 and an exposition time of 15 s. The complete analysis took 20 minutes, for a total of more than 60,000 spectra.

Figure 1 shows the Raman hyperspectral cube of a portion of the imaged area containing the yeast. The monotic Raman images revealed the position of the aggregated yeast cells stained with the CNTs. The typical signal of CNTs (red line) confirmed their presence on the yeast cells, while in other areas the hyperspectral camera did not detect any CNT Raman signal (blue line).

Raman Multiplexing

DEVELOPMENT AND CHARACTERIZATION OF CARBON NANOTUBE BASED RAMAN NANOPROBES BY RAMAN HYPERSPECTRAL IMAGING: MULTIPLEXING AND BIODETECTION

The potential of Photon etc. Raman Imaging Platform, RIMA™, was demonstrated by Pr. R Martel’s group at Université de Montréal in a recent publication in Nature Photonics on the development of Raman nanoprobes [1].

These new kind of nanoprobes are based on single-wall carbon nanotubes and J-aggregated dyes, such as α?sexithiophene (6T), β-carotene (βcar) and phenazine (Ph). Compared to fluorescent probes, Raman probes have the advantages of being more stable over long periods of times (weeks and years) and they produce a unique signature with narrow peaks that allows easy multiplexing of 3 probes or more using the same excitation laser energy. This nanomaterial shows a very high Raman scattering cross-section, without any photobleaching or fluorescence background, even at high laser intensities.

In this work RIMA™ enabled the imaging and multiplexing of three different probes with sensitivity down to the single object as seen in Figure 1. The different probes were deposited on a SiOx/Si surface and characterized by taking a single hyperspectral image. We were able to determine, without a doubt, the position of each isolated probe (diameters: 1.3 ± 0.2 nm), and even identify the co-localized probes (Fig 1b, Ph and βcar). The sensitivity, efficiency and hyperspectral properties of RIMA™ were essential to the development of these probes.

The carbon nanotube, which serves as a capsule for the probe, can be covalently functionalized to selectively target biomolecules, such as streptavidin. We demonstrated RIMA™’s potential in the detection of probes in a biological context by imaging the βcar probe functionalized with PEG-biotin groups that targeted streptavidin.

A pattern of 10 μm spots of streptavidin was created by microcontact printing and then incubated with the probes. The pattern was maintained hydrated under a cover slip during imaging and the probes were detected where streptavidin was located. Figure 2 shows Raman hyperspectral images at 1520 cm-1 of two printed surfaces, where streptavidin was deposited either inside (main figure) or around the dots (inset). With a single acquisition, a sample area of 133 x 133 μm2 was studied using RIMA™ with laser excitation at 532 nm. Damages to the samples were also limited due to a uniform illumination over the portion of the sample in the field of view. In terms of spectral resolution and large surface area imaged, RIMA™ provided hyperspectral images in a much shorter time then conventional point-by-point mapping Raman imagers.

Raman hyperspectral imaging is a powerful technique to study a wide range of materials, from nanopatterned surfaces to biological systems. Because of its high throughput, RIMA™ allows the acquisition of spectrally resolved maps of large area samples, without damaging the surface.