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Adaptive dynamic range shift (ADRIFT) quantitative phase imaging

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...

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Autores principales: Toda, Keiichiro, Tamamitsu, Miu, Ideguchi, Takuro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775917/
https://www.ncbi.nlm.nih.gov/pubmed/33386387
http://dx.doi.org/10.1038/s41377-020-00435-z
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author Toda, Keiichiro
Tamamitsu, Miu
Ideguchi, Takuro
author_facet Toda, Keiichiro
Tamamitsu, Miu
Ideguchi, Takuro
author_sort Toda, Keiichiro
collection PubMed
description 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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spelling pubmed-77759172021-01-11 Adaptive dynamic range shift (ADRIFT) quantitative phase imaging Toda, Keiichiro Tamamitsu, Miu Ideguchi, Takuro Light Sci Appl Article 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. Nature Publishing Group UK 2021-01-01 /pmc/articles/PMC7775917/ /pubmed/33386387 http://dx.doi.org/10.1038/s41377-020-00435-z Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Toda, Keiichiro
Tamamitsu, Miu
Ideguchi, Takuro
Adaptive dynamic range shift (ADRIFT) quantitative phase imaging
title Adaptive dynamic range shift (ADRIFT) quantitative phase imaging
title_full Adaptive dynamic range shift (ADRIFT) quantitative phase imaging
title_fullStr Adaptive dynamic range shift (ADRIFT) quantitative phase imaging
title_full_unstemmed Adaptive dynamic range shift (ADRIFT) quantitative phase imaging
title_short Adaptive dynamic range shift (ADRIFT) quantitative phase imaging
title_sort adaptive dynamic range shift (adrift) quantitative phase imaging
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7775917/
https://www.ncbi.nlm.nih.gov/pubmed/33386387
http://dx.doi.org/10.1038/s41377-020-00435-z
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