Adaptive dynamic range shift (ADRIFT) quantitative phase imaging

Keiichiro Toda; Miu Tamamitsu; Takuro Ideguchi

doi:10.1038/s41377-020-00435-z

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Adaptive dynamic range shift (ADRIFT) quantitative phase imaging

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- Adaptive dynamic range shift (ADRIFT) quantitative phase imaging
- Light: Science & Applications Vol. 10, Issue 1, Pages: 19-28(2021)
- Affiliations：
  
  1.Department of Physics, The University of Tokyo, Tokyo 113-0033, Japan
  2.Institute for Photon Science and Technology, The University of Tokyo, Tokyo 113-0033, Japan
  3.PRESTO, Japan Science and Technology Agency, Saitama 332-0012, Japan
- Author bio：
  
  Takuro Ideguchi (ideguchi@ipst.s.u-tokyo.ac.jp)
- Funds：
- DOI：10.1038/s41377-020-00435-z
  CLC：
- Published：2021，
  
  Published Online：01 January 2021，
  
  Received：28 April 2020，
  
  Revised：09 November 2020，
  
  Accepted：14 November 2020
- Accepted：
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Toda, K., Tamamitsu, M. & Ideguchi, T. Adaptive dynamic range shift (ADRIFT) quantitative phase imaging. Light: Science & Applications, 10, 19-28 (2021).
DOI：

Toda, K., Tamamitsu, M. & Ideguchi, T. Adaptive dynamic range shift (ADRIFT) quantitative phase imaging. Light: Science & Applications, 10, 19-28 (2021). DOI： 10.1038/s41377-020-00435-z.

摘要

Abstract

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.

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Keywords

references

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