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Novel Multimodal Imaging System for High-Resolution and High-Contrast Tissue Segmentation Based on Chemical

Björn van Marwick1, Felix Lauer1, Felix Wühler1

  • 1CeMOS Research and Transfer Center, Mass Spectrometry and Optical Spectroscopy, Technische Hochschule Mannheim, 68163 Mannheim, Germany.

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|October 29, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a multimodal imaging system combining mid-infrared (MIR) scanning and fluorescence imaging for enhanced tissue characterization. The novel approach provides label-free chemical and structural insights for biomedical research and diagnostics.

Keywords:
biomedical opticschemical specificityfluorescence microscopylabel-free diagnosticsmid-infrared microscopymouse brain imagingmultimodal imagingspectral clusteringtissue characterization

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Area of Science:

  • Biomedical Imaging
  • Spectroscopy
  • Histology

Background:

  • Accurate tissue characterization is crucial for medical diagnostics.
  • Combining multiple imaging modalities can improve diagnostic accuracy.
  • Existing methods may require staining or external markers, limiting label-free analysis.

Purpose of the Study:

  • To develop and validate a multimodal imaging system integrating mid-infrared (MIR) scanning and fluorescence imaging.
  • To enhance chemical specificity and spatial resolution in biological samples.
  • To provide label-free insights into tissue morphology and chemistry.

Main Methods:

  • Integration of MIR scanning and fluorescence imaging using a motorized mirror for rapid mode switching.
  • Co-registered data acquisition for efficient analysis.
  • Application to mouse brain and skin tissues for evaluation.

Main Results:

  • The system successfully differentiated gray and white matter in mouse brains using spectral clustering.
  • Autofluorescence imaging improved anatomical segmentation and revealed fine structural details.
  • Precise mapping of layered tissue architecture was achieved in mouse skin.

Conclusions:

  • The combined MIR and fluorescence imaging approach offers complementary, label-free insights into tissue composition.
  • This multimodal system is a powerful tool for biomedical research and diagnostic applications.
  • The method enhances understanding of tissue morphology and chemistry without staining.