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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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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. |
format | Online Article Text |
id | pubmed-7775917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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