当前位置: X-MOL 学术Light Sci. Appl. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Adaptive dynamic range shift (ADRIFT) quantitative phase imaging
Light: Science & Applications ( IF 19.4 ) Pub Date : 2021-01-01 , DOI: 10.1038/s41377-020-00435-z
Keiichiro Toda , Miu Tamamitsu , Takuro Ideguchi

Quantitative phase imaging (QPI) with its high-contrast images of optical phase delay (OPD) maps is often used for label-free single-cell analysis. Contrary to other imaging methods, sensitivity improvement has not been intensively explored because conventional QPI is sensitive enough to observe the surface roughness of a substrate that restricts the minimum measurable OPD. However, emerging QPI techniques that utilize, for example, differential image analysis of consecutive temporal frames, such as mid-infrared photothermal QPI, mitigate the minimum OPD limit by decoupling the static OPD contribution and allow measurement of much smaller OPDs. Here, we propose and demonstrate supersensitive QPI with an expanded dynamic range. It is enabled by adaptive dynamic range shift through a combination of wavefront shaping and dark-field QPI techniques. As a proof-of-concept demonstration, we show dynamic range expansion (sensitivity improvement) of QPI by a factor of 6.6 and its utility in improving the sensitivity of mid-infrared photothermal QPI. This technique can also be applied for wide-field scattering imaging of dynamically changing nanoscale objects inside and outside a biological cell without losing global cellular morphological image information.



中文翻译:

自适应动态范围位移(ADRIFT)定量相位成像

定量相位成像(QPI)及其光学相位延迟(OPD)图的高对比度图像通常用于无标记单细胞分析。与其他成像方法相反,由于传统的QPI足够灵敏,可以观察到限制最小可测量OPD的基板表面粗糙度,因此尚未深入研究灵敏度的提高。但是,新兴的QPI技术利用了对连续时间帧的差分图像分析,例如中红外光热QPI,通过将静态OPD贡献去耦来减轻最小OPD限制,并允许测量更小的OPD。在这里,我们提出并演示了具有扩展动态范围的超灵敏QPI。通过将波前整形和暗场QPI技术相结合,通过自适应动态范围移位来实现此功能。作为概念验证的演示,我们将QPI的动态范围扩展(灵敏度改善)提高了6.6倍,并将其用于提高中红外光热QPI的灵敏度。该技术还可以用于在生物细胞内部和外部动态变化的纳米级对象的广域散射成像,而不会丢失全局细胞形态图像信息。

更新日期:2021-01-01
down
wechat
bug