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Lens-free spectral light-field fusion microscopy for contrast- and resolution-enhanced imaging of biological specimens

机译:无透镜光谱光场融合显微镜用于生物标本的对比度和分辨率增强成像

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A lens-free spectral light-field fusion microscopy (LSLFM) system is presented for enabling contrast- and resolution-enhanced imaging of biological specimens. LSLFM consists of a pulsed multispectral lens-free microscope for capturing interferometric light-field encodings at various wavelengths, and Bayesian-based fusion to reconstruct a fused object light-field from the encodings. By fusing unique object detail information captured at different wavelengths, LSLFM can achieve improved resolution, contrast, and signal-to-noise ratio (SNR) over a single-channel lens-free microscopy system. A five-channel LSLFM system was developed and quantitatively evaluated to validate the design. Experimental results demonstrated that the LSLFM system provided SNR improvements of 6-12 dB, as well as a six-fold improvement in the dispersion index (DI), over that achieved using a single-channel, resolution-enhancing lens-free deconvolution microscopy system or its multi-wavelength counterpart. Furthermore, the LSLFM system achieved an increase in numerical aperture (NA) of similar to 16% over a single-channel resolution-enhancing lens-free deconvolution microscopy system at the highest resolution wavelength used in the study. Samples of Staurastrum paradoxum, a waterborne algae, and human corneal epithelial cells were imaged using the system to illustrate its potential for enhanced imaging of biological specimens. (C) 2015 Optical Society of America
机译:提出了一种无透镜光谱光场融合显微镜(LSLFM)系统,用于对生物样本进行对比度和分辨率增强的成像。 LSLFM包括一个无脉冲多光谱透镜显微镜,用于捕获各种波长的干涉光场编码;以及基于贝叶斯的融合,可从编码中重建一个融合的物体光场。通过融合在不同波长下捕获的独特的对象详细信息,LSLFM可以在单通道无透镜显微镜系统上实现更高的分辨率,对比度和信噪比(SNR)。开发了五通道LSLFM系统,并对其进行了定量评估以验证设计。实验结果表明,与使用单通道,无分辨率的无透镜反卷积显微镜系统相比,LSLFM系统的SNR改善了6-12 dB,并且色散指数(DI)提高了6倍。或其多波长对应物。此外,在研究中使用的最高分辨率波长下,LSLFM系统比单通道分辨率增强的无透镜反卷积显微镜系统的数值孔径(NA)增大了约16%。使用该系统对Staurastrum paradoxum,一种水生藻类和人角膜上皮细胞的样品成像,以说明其增强生物标本成像的潜力。 (C)2015年美国眼镜学会

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