Hybrid Raman and Partial Wave Spectroscopy Microscope for the Characterization of Molecular and Structural Alterations in Tissue

We present a hybrid Raman spectroscopy (RS) and partial wave spectroscopy (PWS) microscope for the characterization of molecular and structural tissue alterations. The PWS performance was assessed with surface roughness standards, while the Raman performance with a silicon crystal standard. We also validated the system on stomach and intestinal mouse tissues, two closely-related tissue types, and demonstrate that the addition of PWS information improves RS data classification for these tissue types from R<sup>2</sup> = 0.892 to R<sup>2</sup> = 0.964 (norm of residuals 0.863 and 0.497, respectively). Then, in a proof-of-concept experiment, we show that the hybrid system can detect changes in intestinal tissues harvested from a tumorigenic Villin-Cre, Apc<sup>fl/wt</sup> mouse. We discuss how the hybrid modality offers new abilities to identify the relative roles of PWS morphological features and Raman molecular fingerprints, possibly allowing for their combination to enhance the study of carcinogenesis and early cancer diagnostics in the future.

Authors

Institutions

Publication Details

Journal
Journal of Biophotonics
Published
2024-10-27
DOI
https://doi.org/10.1002/jbio.202400330
Citations
2
Primary Topic
Spectroscopy Techniques in Biomedical and Chemical Research
Type
article
Field-Weighted Citation Impact
1.32

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hybrid Raman and Partial Wave Spectroscopy Microscope for the Characterization of Molecular and Structural Alterations in Tissue

Markus Tschurtschenthaler, Sabrina Marcazzan, Elena Kriukova, Gerwin J. Puppels et al.
2 citations
Journal of Biophotonics
Spectroscopy Techniques in Biomedical and Chemical Research
1.32
article

Hybrid Raman and Partial Wave Spectroscopy Microscope for the Characterization of Molecular and Structural Alterations in Tissue

Markus Tschurtschenthaler, Sabrina Marcazzan, Elena Kriukova, Gerwin J. Puppels, Dimitris Gorpas, Michael Quante, Vasilis Ntziachristos, Dieter Saur, Mikhail Mazurenka, Sarah Glasl
article en
2 citations

Abstract

We present a hybrid Raman spectroscopy (RS) and partial wave spectroscopy (PWS) microscope for the characterization of molecular and structural tissue alterations. The PWS performance was assessed with surface roughness standards, while the Raman performance with a silicon crystal standard. We also validated the system on stomach and intestinal mouse tissues, two closely-related tissue types, and demonstrate that the addition of PWS information improves RS data classification for these tissue types from R<sup>2</sup> = 0.892 to R<sup>2</sup> = 0.964 (norm of residuals 0.863 and 0.497, respectively). Then, in a proof-of-concept experiment, we show that the hybrid system can detect changes in intestinal tissues harvested from a tumorigenic Villin-Cre, Apc<sup>fl/wt</sup> mouse. We discuss how the hybrid modality offers new abilities to identify the relative roles of PWS morphological features and Raman molecular fingerprints, possibly allowing for their combination to enhance the study of carcinogenesis and early cancer diagnostics in the future.

Journal of BiophotonicsVol. 17(12)
German Cancer Research Center (DE), Heidelberg University (DE), University Medical Center Freiburg (DE), TUM Klinikum (DE), Helmholtz Zentrum München (DE), Institute of Biological and Medical Imaging, Deutsches Konsortium für Translationale Krebsforschung (DE), Technical University of Munich (DE)
Horizon 2020 Framework Programme
Good health and well-being
Openalex Percentile: Top 14%
Spectroscopy Techniques in Biomedical and Chemical Research
1.32
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.