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IMA激光荧光显微高光谱成像系统

所属类别: » 专用实验设备 » PL/光电流 成像系统
所属品牌:加拿大Photon etc公司

产品简介

 

IMA激光荧光显微高光谱成像系统


IMA荧光(EL/PL)显微高光谱成像仪


高速读取荧光高光谱

均化激光不会损伤细胞等样品

非逐点扫描

高速PL/EL Mapping

 

基于独特的体布拉格光栅滤波片技术(BTF)和光致发光成像技术,Photon etc公司最新推出的IMA激光荧光显微高光谱成像系统,采取革新的二维成像的方式,激光经过扩束后再经过匀化,将高斯分布的点激光扩展成平面均匀分布面激光,面激光均匀照射在样品上,可以直接获得整个样品的荧光高光谱信息。从而获得分子结构方面的信息。有别于传统的激光荧光显微高光谱系统以逐点扫描的方式,而是一次性的获取整个样品的光谱信息,故而只需要更短的成像时间以及具有更高的空间分辨率。


共焦荧光成像系统,共聚焦荧光成像系统,共焦荧光光谱成像系统,共焦荧光成像光谱仪系统,成像光谱仪,激光荧光成像系统, 荧光显微成像系统


 


设备原理图:





系统参数:

 

 

VIS

IR

光谱范围

400-1000nm

900-1700nm

光谱分辨率

<2.5nm(最小可到0.2nm)

<4nm(最小可到0.4nm

图像分辨率

亚微米

亚微米

成像速度

20x20μm in 1s @100X

20x20μm in 1s @100X

激发光源

447 nm, 532, 635 nm(可选其他波长)

808980nm(可选其他波长)

CCD

科学级CCD,背照式CCDEMCCD

InGaAs相机

显微镜

倒置或正置

倒置或正置

物镜

20X60X100X

20X60X100X

 


应用领域:

 

NANOPARTICLES IN CANCER CELLS

Dark field illumination is commonly used for the analysis of biological samples containing nanomaterials that significantly scatter light. When combined to hyperspectral imaging, it becomes an exceptional tool to also detect the composition and the location of nanomaterials embedded in cells. IMATM, Photon etc.’s hyperspectral imager, can be equipped with a highly efficient dark field condenser and generate high contrast images of biological samples.

 

The high throughput of Photon etc.’s hyperspectral filter allows the rapid acquisition of spectrally resolved high resolution images. Since the camera captures the whole area in the field of view, it is possible to collect spectral and spatial information in real time, with the possibility of recording spectrally resolved videos to follow the dynamics of cells and luminescent nanoscale components. PHySpecTM, Photon etc software, enables principal component analysis (PCA) in order to identify the smallest variations of single and aggregated nanoparticles.

 

With the purpose of showing the capabilities of IMATM to analyse nanomaterials in biological systems, a sample of MDA-MB-23 human breast cancer cells has been tagged with 60 nm gold nanoparticles (GNPs) and exposed to a dark field illumination on the entire field of view (Figure 1). With a 60×objective, an area of 150×112 μm was imaged, with a step of 2 nm and an exposition time of 2 s per wavelength. The complete analysis took only a few minutes, for more than one million spectra, each of them covering the whole visible spectrum.

 

Cells typically have a flat scattering spectrum, whereas GNPs show a sharp peak around 550 nm. Figure 2 illustrates the 550 nm image extracted from the dark field hyperspectral cube of the breast cancer. The GNPs are marked with a green colouring after PCA software processing. The magnification of a breast cancer cell (Figure 3a) and the spectra of the regions containing GNPs (some examples in Figure 3b) confirmed the presence of single 60 nm NPs (peak at 550 nm) and their aggregates (peaks red-shifted). The hyperspectral camera did not detect any GNPs in the areas between the cells.

 

 




CHARACTERISATION OF SOLAR CELLS USING HYPERSPECTRAL IMAGER

A new characterization method based on hyperspectral imaging recording spectrally resolved images allows the cartography of electroluminescence (EL) and photoluminescence (PL). From the data acquired, spatial variations of cell properties such as open circuit voltage and transport mechanisms were identified and characterized. Furthermore, the system was compared to a classical confocal microscope, showing significant gains in acquisition time.

 

Spectrally resolved images provide considerable advantages such as, absolute calibration of intensity, micrometer scale resolution, and excitation and detection on a surface (no information loss from lateral diffusion and roughness). In luminescence imaging, absolute calibration is a main concern and is here done in two steps: first, an absolute calibration at a determined point (spatially and spectrally) with a laser, and then a relative calibration on the whole space and the whole spectrum, with a calibrated lamp coupled to an integrating sphere.The images rendered by IMATM are spectrally resolved luminescence images from multicrystalline CIS solar cell, offering means of studying its spatial inhomogeneities. On high efficiency GaAs solar cells, we got absolute measurements of EL and successfully investigated reciprocity relations. Our next step is to record quantitative maps of CIGS physical properties from PL and EL images, such as VOC , transport parameters and more.

 

A confocal microscope coupled to a spectrometer provides similar data. The 532nm laser is focused onto the cell front contact, and the cartography of PL spectra is obtained by scanning the sample. The acquisition time with the imager is much faster. 150*150μm² at 107 W/m² would take hundreds of hours in confocal, but only 8min with IMA. Moreover, surface excitation and detection allow to get rid of diffusion and roughness troubles for quantitative analysis.

 

MULTIPLEXING OF 17 SWCNTs

NIR hyperspectral microscopy covers the detection range of 900-1700 nm and is ideal for the spatial and spectral identification and measurement of fluorophores that emit in the second biological window. For example, single wall nanotubes (SWNTs) emission bands are narrow (~ 20 nm) and each band corresponds to unique (n, m) species (chiralities). With IR hyperspectral microscopy, it is possible to separate these species, with single SWNT spatial resolution on surfaces, in live cells, and in vivo.



Images obtained by IR hyperspectral microscopy can be used to study fluorescence and spectral heterogeneity from single SWNTs in complex environments, including live cells and tissues.



Locate and identify single SWNTs chiralities

• Identify SWNTs by their IR spectra

• Separate single SWNT (emission band ~ 20 nm)

• Simultaneous imaging of all emitters

• Multiplexing with one laser source

 

Access to second biological window

• Attenuated tissue absorbance

• Higher depth of penetration

• Less scattering

• Limited autofluorescence

 

Monitor spectral information

• Changes in intensity of single emitters

• Shifts in wavelength

• Spectral bandwidth variations 

 

In vivo applications

• In vivo imaging of multiplexed emitters

• In vivo long term sensing

 


 

 

 

 

 

 

 

 

 

 



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