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Inter comparison of EMCCD- and sCMOS-based imaging spectrometers for biomedical applications in low-light conditions

机译:用于弱光条件下生物医学应用的基于EMCCD和sCMOS的成像光谱仪的相互比较

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Hyperspectral imaging provides means for characterizing large biological samples with microscopic spatial resolution and a narrow spectral sampling interval. However, this approach requires having a measurable light signal in each spectral band. Overcoming the limitations imposed by working with biological samples requires the use of a highly sensitive sensor to detect weak signals. For this study we have built and compared the performance of two imaging spectrometers optimized for low light environments: an electron-multiplying CCD (EMCCD) and a scientific CMOS (sCMOS). Both systems have been designed to lower the risk of damaging photosensitive samples, delay the bleaching of fluorophores and detect weak fluorescence signals. The cameras work within the VNIR spectral region (400 nm - 900 nm) with a spectral sampling lower than 4 nm. The produced images have scene pixel sizes smaller than 25 μm and a field of view larger than 25 mm. The systems have been tested side to side measuring the diffusion front of a fluorescent tag in samples of porcine skin in challenging light conditions. The study aimed to show the advantages and limitations of each approach. Preliminary results show good performance of the EMCCD for fluorescence applications, whereas more experimental results are needed to be able to conclude on the performance of the sCMOS sensor. However, the sCMOS appears promising for imaging scenes with high dynamics in low light settings.
机译:高光谱成像提供了用于表征具有微观空间分辨率和窄光谱采样间隔的大型生物样品的方法。然而,这种方法要求在每个光谱带中具有可测量的光信号。克服处理生物样品带来的限制,需要使用高度灵敏的传感器来检测微弱的信号。在本研究中,我们建立并比较了两种针对低光环境优化的成像光谱仪的性能:电子倍增CCD(EMCCD)和科学CMOS(sCMOS)。两种系统均旨在降低损坏光敏样品的风险,延迟荧光团的漂白和检测微弱的荧光信号。摄像机在VNIR光谱区域(400 nm-900 nm)内工作,光谱采样低于4 nm。产生的图像具有小于25μm的场景像素大小和大于25 mm的视场。已经对该系统进行了侧面测试,以在具有挑战性的光照条件下测量猪皮肤样品中荧光标签的扩散前沿。该研究旨在显示每种方法的优点和局限性。初步结果表明,EMCDCD在荧光应用方面具有良好的性能,而需要更多的实验结果才能得出sCMOS传感器的性能。但是,sCMOS对于在低光照条件下以高动态影像场景成像似乎很有希望。

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