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arXiv 1506.02201physics.optics
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用于生物样品对比度和分辨率增强成像的无透镜光谱光场融合显微术

Lensfree Spectral Light-field Fusion Microscopy for Contrast- and Resolution-enhanced Imaging of Biological Specimens

Farnoud Kazemzadeh, Chao Jin, Sara Molladavoodi, Yu Mei, Monica B. Emelko, Maud B. Gorbet, Alexander Wong

摘要:

提出了一种无透镜光谱光场融合显微镜(LSLFM)系统,用于实现生物样品的对比度和分辨率增强成像。LSLFM由脉冲多光谱无透镜显微镜组成,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以从编码重建融合的物体光场。通过融合在不同波长下捕获的独特物体细节信息,LSLFM可以实现比单通道无透镜显微系统更高的分辨率、对比度和信噪比(SNR)。一个五通道LSLFM系统的开发和定量评估,以验证设计。实验结果表明,LSLFM系统提供了6-12 dB的SNR改善,以及在色散指数(DI)的六倍改善,超过使用单通道,分辨率增强无透镜反卷积显微镜系统或其多波长对应物实现。此外,LSLFM系统在研究中使用的最高分辨率波长下,比单通道分辨率增强无透镜去卷积显微镜系统的数值孔径(NA)增加了约16%。使用该系统对Staurastrum paradoxum(一种水生藻类)和人类角膜上皮细胞的样本进行成像,以说明其增强生物标本成像的潜力。

英文摘要:

A lensfree 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 lensfree 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 lensfree 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 lensfree deconvolution microscopy system or its multi-wavelength counterpart. Furthermore, the LSLFM system achieved an increase in numerical aperture (NA) of ~16% over a single-channel resolution-enhancing lensfree 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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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