High-resolution cell imaging using white light phase shifting interferometry and iterative phase deconvolution
© 2024 Wiley‐VCH GmbH..
An optimization algorithm is presented for the deconvolution of a complex field to improve the resolution and accuracy of quantitative phase imaging (QPI). A high-resolution phase map can be recovered by solving a constrained optimization problem of deconvolution using a complex gradient operator. The method is demonstrated on phase measurements of samples using a white light based phase shifting interferometry (WLPSI) method. The application of the algorithm on real and simulated objects shows a significant resolution and contrast improvement. Experiments performed on Escherichia coli bacterium have revealed its sub-cellular structures that were not visible in the raw WLPSI images obtained using a five phase shifting method. These features can give valuable insights into the structures and functioning of biological cells. The algorithm is simple in implementation and can be incorporated into other QPI modalities.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - year:2024 |
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| Enthalten in: |
Journal of biophotonics - (2024) vom: 02. Apr., Seite e202300499 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Tiwari, Shubham [VerfasserIn] |
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| Links: |
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| Themen: |
Cell imaging |
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| Anmerkungen: |
Date Revised 03.04.2024 published: Print-Electronic Citation Status Publisher |
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| doi: |
10.1002/jbio.202300499 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM370558820 |
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| 520 | |a © 2024 Wiley‐VCH GmbH. | ||
| 520 | |a An optimization algorithm is presented for the deconvolution of a complex field to improve the resolution and accuracy of quantitative phase imaging (QPI). A high-resolution phase map can be recovered by solving a constrained optimization problem of deconvolution using a complex gradient operator. The method is demonstrated on phase measurements of samples using a white light based phase shifting interferometry (WLPSI) method. The application of the algorithm on real and simulated objects shows a significant resolution and contrast improvement. Experiments performed on Escherichia coli bacterium have revealed its sub-cellular structures that were not visible in the raw WLPSI images obtained using a five phase shifting method. These features can give valuable insights into the structures and functioning of biological cells. The algorithm is simple in implementation and can be incorporated into other QPI modalities | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a cell imaging | |
| 650 | 4 | |a constrained optimization | |
| 650 | 4 | |a deconvolution | |
| 650 | 4 | |a phase shifting interferometry | |
| 650 | 4 | |a quantitative phase imaging | |
| 650 | 4 | |a white light | |
| 700 | 1 | |a Tayal, Shilpa |e verfasserin |4 aut | |
| 700 | 1 | |a Trivedi, Shivam |e verfasserin |4 aut | |
| 700 | 1 | |a Kaur, Harpreet |e verfasserin |4 aut | |
| 700 | 1 | |a Mehta, Dalip Singh |e verfasserin |4 aut | |
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