ArticleBMC cancer2016
Pseudo-HE images derived from CARS/TPEF/SHG multimodal imaging in combination with Raman-spectroscopy as a pathological screening tool.
Article in BMC cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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31 citing papers in PubMed, 81 citations in OpenAlex.
- Cell-MICS: Detecting Immune Cells With Label-Free Two-Photon Autofluorescence and Deep Learning.Journal of biophotonics · 2026Article
- Advancing Label-Free Imaging Through CARS Microscopy: From Signal Formation to Biological Interpretation.International journal of molecular sciences · 2026Review
- Automatic optimization of flat-field corrections by evaluation and enhancement (EVEN) in multimodal optical microscopy.Nature communications · 2026Article
- Multimodal Integration Enhances Tissue Image Information Content: A Deep Feature Perspective.Bioengineering (Basel, Switzerland) · 2025Article
- Endomicroscopic AI-driven morphochemical imaging and fs-laser ablation for selective tumor identification and selective tissue removal.Science advances · 2024Article
- MMIR: an open-source software for the registration of multimodal histological images.BMC medical informatics and decision making · 2024Article
- Learned end-to-end high-resolution lensless fiber imaging towards real-time cancer diagnosis.Scientific reports · 2022Article
- The complementary value of intraoperative fluorescence imaging and Raman spectroscopy for cancer surgery: combining the incompatibles.European journal of nuclear medicine and molecular imaging · 2022Review
- CARS Imaging Advances Early Diagnosis of Cardiac Manifestation of Fabry Disease.International journal of molecular sciences · 2022Article
- Image-to-image translation of label-free molecular vibrational images for a histopathological review using the UNet+/seg-cGAN model.Biomedical optics express · 2022Article
- Suppression of the non-linear background in a multimode fibre CARS endoscope.Biomedical optics express · 2022Article
- Raman and fluorescence micro-spectroscopy applied for the monitoring of sunitinib-loaded porous silicon nanocontainers in cardiac cells.Frontiers in pharmacology · 2022Article
- Raman Imaging and Fluorescence Lifetime Imaging Microscopy for Diagnosis of Cancer State and Metabolic Monitoring.Cancers · 2021Review
- Influence of hematoxylin and eosin staining on the quantitative analysis of second harmonic generation imaging of fixed tissue sections.Biomedical optics express · 2021Article
- Article
- Computational tissue staining of non-linear multimodal imaging using supervised and unsupervised deep learning.Biomedical optics express · 2021Article
- Deep Neural Network-Aided Histopathological Analysis of Myocardial Injury.Frontiers in cardiovascular medicine · 2021Article
- Simultaneous stimulated Raman gain and loss detection (SRGAL).Optics express · 2020Article
- Nonlinear multispectral imaging for tumor delineation.Journal of biomedical optics · 2020Article
- Multispectral near infrared absorption imaging for histology of skin cancer.Journal of biophotonics · 2020Article
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Authors and funding
13 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDue to the steadily increasing number of cancer patients worldwide the early diagnosis and treatment of cancer is a major field of research. The diagnosis of cancer is mostly performed by an experienced pathologist via the visual inspection of histo-pathological stained tissue sections. To save valuable time, low quality cryosections are frequently analyzed with diagnostic accuracies that are below those of high quality embedded tissue sections. Thus, alternative means have to be found that enable for fast and accurate diagnosis as the basis of following clinical decision making.
methodsIn this contribution we will show that the combination of the three label-free non-linear imaging modalities CARS (coherent anti-Stokes Raman-scattering), TPEF (two-photon excited autofluorescence) and SHG (second harmonic generation) yields information that can be translated into computational hematoxylin and eosin (HE) images by multivariate statistics. Thereby, a computational HE stain is generated resulting in pseudo-HE overview images that allow for identification of suspicious regions. The latter are analyzed further by Raman-spectroscopy retrieving the tissue's molecular fingerprint.
resultsThe results suggest that the combination of non-linear multimodal imaging and Raman-spectroscopy possesses the potential as a precise and fast tool in routine histopathology.
conclusionsAs the key advantage, both optical methods are non-invasive enabling for further pathological investigations of the same tissue section, e.g. a direct comparison with the current pathological gold-standard.
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