Literature DB >> 34050224

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

Tim Kümmel1, Björn van Marwick2, Miriam Rittel2, Carina Ramallo Guevara2, Felix Wühler2, Tobias Teumer2, Björn Wängler3, Carsten Hopf2, Matthias Rädle4.   

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.

Entities:  

Year:  2021        PMID: 34050224     DOI: 10.1038/s41598-021-90777-4

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  42 in total

1.  Intraoperative consultation of central nervous system lesions. Frozen section, cytology or both?

Authors:  Ali Haidari Sharifabadi; Hayedeh Haeri; Mehdi Zeinalizadeh; Neda Zargari; Amirnader Emami Razavi; Nargess Shahbazi; Malahat Tahvildari; Farid Azmoudeh-Ardalan
Journal:  Pathol Res Pract       Date:  2015-09-05       Impact factor: 3.250

2.  Laser-based mid-infrared reflectance imaging of biological tissues.

Authors:  Bujin Guo; Y Wang; C Peng; H Zhang; G Luo; H Le; C Gmachl; D Sivco; M Peabody; A Cho
Journal:  Opt Express       Date:  2004-01-12       Impact factor: 3.894

3.  Rapid identification of goblet cells in unstained colon thin sections by means of quantum cascade laser-based infrared microspectroscopy.

Authors:  N Kröger-Lui; N Gretz; K Haase; B Kränzlin; S Neudecker; A Pucci; A Regenscheit; A Schönhals; W Petrich
Journal:  Analyst       Date:  2015-04-07       Impact factor: 4.616

4.  Multimodal Imaging Based on Vibrational Spectroscopies and Mass Spectrometry Imaging Applied to Biological Tissue: A Multiscale and Multiomics Review.

Authors:  Michael Tuck; Landry Blanc; Rita Touti; Nathan Heath Patterson; Sebastiaan Van Nuffel; Sandrine Villette; Jean-Christophe Taveau; Andreas Römpp; Alain Brunelle; Sophie Lecomte; Nicolas Desbenoit
Journal:  Anal Chem       Date:  2020-11-30       Impact factor: 6.986

5.  Diffraction limited mid-infrared reflectance microspectroscopy with a supercontinuum laser.

Authors:  Jakob Kilgus; Gregor Langer; Kristina Duswald; Robert Zimmerleiter; Ivan Zorin; Thomas Berer; Markus Brandstetter
Journal:  Opt Express       Date:  2018-11-12       Impact factor: 3.894

Review 6.  Biomedical applications of mid-infrared quantum cascade lasers - a review.

Authors:  Katharina Isensee; Niels Kröger-Lui; Wolfgang Petrich
Journal:  Analyst       Date:  2018-12-03       Impact factor: 4.616

7.  Analysis of ovarian tumor pathology by Fourier Transform Infrared Spectroscopy.

Authors:  Ranjana Mehrotra; Gunjan Tyagi; Deepak K Jangir; Ramesh Dawar; Noopur Gupta
Journal:  J Ovarian Res       Date:  2010-12-21       Impact factor: 4.234

8.  Fourier Transform Infrared Microscopy Enables Guidance of Automated Mass Spectrometry Imaging to Predefined Tissue Morphologies.

Authors:  Jan-Hinrich Rabe; Denis A Sammour; Sandra Schulz; Bogdan Munteanu; Martina Ott; Katharina Ochs; Peter Hohenberger; Alexander Marx; Michael Platten; Christiane A Opitz; Daniel S Ory; Carsten Hopf
Journal:  Sci Rep       Date:  2018-01-10       Impact factor: 4.379

9.  Quantum Cascade Laser-Based Infrared Microscopy for Label-Free and Automated Cancer Classification in Tissue Sections.

Authors:  Claus Kuepper; Angela Kallenbach-Thieltges; Hendrik Juette; Andrea Tannapfel; Frederik Großerueschkamp; Klaus Gerwert
Journal:  Sci Rep       Date:  2018-05-16       Impact factor: 4.379

10.  Simultaneous cancer and tumor microenvironment subtyping using confocal infrared microscopy for all-digital molecular histopathology.

Authors:  Shachi Mittal; Kevin Yeh; L Suzanne Leslie; Seth Kenkel; Andre Kajdacsy-Balla; Rohit Bhargava
Journal:  Proc Natl Acad Sci U S A       Date:  2018-06-04       Impact factor: 11.205

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