Rapid brain structure and tumour margin detection on whole frozen tissue sections by fast multiphotometric mid-infrared scanning

Abstract Frozen section analysis is a frequently used method for examination of tissue samples, especially for tumour detection. In the majority of cases, the aim is to identify characteristic tissue morphologies or tumour margins. Depending on the type of tissue, a high number of misdiagnoses are a...

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Autores principales: Tim Kümmel, Björn van Marwick, Miriam Rittel, Carina Ramallo Guevara, Felix Wühler, Tobias Teumer, Björn Wängler, Carsten Hopf, Matthias Rädle
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/3042f2201f4f473586cd08d25b9332ce
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spelling oai:doaj.org-article:3042f2201f4f473586cd08d25b9332ce2021-12-02T14:42:20ZRapid brain structure and tumour margin detection on whole frozen tissue sections by fast multiphotometric mid-infrared scanning10.1038/s41598-021-90777-42045-2322https://doaj.org/article/3042f2201f4f473586cd08d25b9332ce2021-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-90777-4https://doaj.org/toc/2045-2322Abstract Frozen section analysis is a frequently used method for examination of tissue samples, especially for tumour detection. In the majority of cases, the aim is to identify characteristic tissue morphologies or tumour margins. Depending on the type of tissue, a high number of misdiagnoses are associated with this process. In this work, a fast spectroscopic measurement device and workflow was developed that significantly improves the speed of whole frozen tissue section analyses and provides sufficient information to visualize tissue structures and tumour margins, dependent on their lipid and protein molecular vibrations. That optical and non-destructive method is based on selected wavenumbers in the mid-infrared (MIR) range. We present a measuring system that substantially outperforms a commercially available Fourier Transform Infrared (FT-IR) Imaging system, since it enables acquisition of reduced spectral information at a scan field of 1 cm2 in 3 s, with a spatial resolution of 20 µm. This allows fast visualization of segmented structure areas with little computational effort. For the first time, this multiphotometric MIR system is applied to biomedical tissue sections. We are referencing our novel MIR scanner on cryopreserved murine sagittal and coronal brain sections, especially focusing on the hippocampus, and show its usability for rapid identification of primary hepatocellular carcinoma (HCC) in mouse liver.Tim KümmelBjörn van MarwickMiriam RittelCarina Ramallo GuevaraFelix WühlerTobias TeumerBjörn WänglerCarsten HopfMatthias RädleNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Tim Kümmel
Björn van Marwick
Miriam Rittel
Carina Ramallo Guevara
Felix Wühler
Tobias Teumer
Björn Wängler
Carsten Hopf
Matthias Rädle
Rapid brain structure and tumour margin detection on whole frozen tissue sections by fast multiphotometric mid-infrared scanning
description Abstract Frozen section analysis is a frequently used method for examination of tissue samples, especially for tumour detection. In the majority of cases, the aim is to identify characteristic tissue morphologies or tumour margins. Depending on the type of tissue, a high number of misdiagnoses are associated with this process. In this work, a fast spectroscopic measurement device and workflow was developed that significantly improves the speed of whole frozen tissue section analyses and provides sufficient information to visualize tissue structures and tumour margins, dependent on their lipid and protein molecular vibrations. That optical and non-destructive method is based on selected wavenumbers in the mid-infrared (MIR) range. We present a measuring system that substantially outperforms a commercially available Fourier Transform Infrared (FT-IR) Imaging system, since it enables acquisition of reduced spectral information at a scan field of 1 cm2 in 3 s, with a spatial resolution of 20 µm. This allows fast visualization of segmented structure areas with little computational effort. For the first time, this multiphotometric MIR system is applied to biomedical tissue sections. We are referencing our novel MIR scanner on cryopreserved murine sagittal and coronal brain sections, especially focusing on the hippocampus, and show its usability for rapid identification of primary hepatocellular carcinoma (HCC) in mouse liver.
format article
author Tim Kümmel
Björn van Marwick
Miriam Rittel
Carina Ramallo Guevara
Felix Wühler
Tobias Teumer
Björn Wängler
Carsten Hopf
Matthias Rädle
author_facet Tim Kümmel
Björn van Marwick
Miriam Rittel
Carina Ramallo Guevara
Felix Wühler
Tobias Teumer
Björn Wängler
Carsten Hopf
Matthias Rädle
author_sort Tim Kümmel
title Rapid brain structure and tumour margin detection on whole frozen tissue sections by fast multiphotometric mid-infrared scanning
title_short Rapid brain structure and tumour margin detection on whole frozen tissue sections by fast multiphotometric mid-infrared scanning
title_full Rapid brain structure and tumour margin detection on whole frozen tissue sections by fast multiphotometric mid-infrared scanning
title_fullStr Rapid brain structure and tumour margin detection on whole frozen tissue sections by fast multiphotometric mid-infrared scanning
title_full_unstemmed Rapid brain structure and tumour margin detection on whole frozen tissue sections by fast multiphotometric mid-infrared scanning
title_sort rapid brain structure and tumour margin detection on whole frozen tissue sections by fast multiphotometric mid-infrared scanning
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/3042f2201f4f473586cd08d25b9332ce
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