ArticleScientific reports2017
Hyperspectral Raman imaging of neuritic plaques and neurofibrillary tangles in brain tissue from Alzheimer's disease patients.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 67 citations in OpenAlex.
- Visualizing Metabolism: Lipid-Based Raman Nanoreporters as an Enabling Platform for Metabolic Imaging and Precision Medicine.ACS nano medicine · 2026Review
- Label-Free Detection of Cellular Aβ Accumulation and Mitochondrial Dysfunction in AD Cell Models via Raman Microscopy.Analytical chemistry · 2026Article
- BactoRamanBioNet: A Multimodal Neural Network for Bacterial Species Identification Using Raman Spectroscopy and Biological Knowledge.Sensors (Basel, Switzerland) · 2026Article
- Transforming hyperspectral data into insight: the DREAM approach for pathology.Biomedical optics express · 2025Article
- Low-frequency Raman spectra of amyloid fibrils.The Journal of chemical physics · 2025Article
- Label-free Aβ plaque detection in Alzheimer's disease brain tissue using infrared microscopy and neural networks.Heliyon · 2025Article
- Enhanced spectral resolution and reduced acquisition time in fiber-based wavelength-swept source Raman spectroscopy.Neurophotonics · 2025Article
- Mapping cellular stress and lipid dysregulation in Alzheimer-related progressive neurodegeneration using label-free Raman microscopy.Communications biology · 2024Article
- Identification of tauopathy-associated lipid signatures in Alzheimer's disease mouse brain using label-free chemical imaging.Communications biology · 2024Article
- Review
- Multi-molecular hyperspectral PRM-SRS microscopy.Nature communications · 2024Article
- Synthetic β-sheets mimicking fibrillar and oligomeric structures for evaluation of spectral X-ray scattering technique for biomarker quantification.Cell & bioscience · 2024Article
- Probing Chemical Complexity of Amyloid Plaques in Alzheimer's Disease Mice using Hyperspectral Raman Imaging.ACS chemical neuroscience · 2024Article
- Hyperspectral Raman Imaging for Automated Recognition of Human Renal Amyloid.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2023Article
- On-line clearing and staining method for the efficient optical imaging of large volume samples at the cellular resolution.Biomedical optics express · 2023Article
- Non-Perturbative Identification and Subtyping of Amyloidosis in Human Kidney Tissue with Raman Spectroscopy and Machine Learning.Biosensors · 2023Article
- Alzheimer's disease amyloid-β pathology in the lens of the eye.Experimental eye research · 2022Article
- In Situ Identification of Unknown Crystals in Acute Kidney Injury Using Raman Spectroscopy.Nanomaterials (Basel, Switzerland) · 2022Article
- From Research to Diagnostic Application of Raman Spectroscopy in Neurosciences: Past and Perspectives.Free neuropathology · 2022Article
- Aluminum and Tau in Neurofibrillary Tangles in Familial Alzheimer's Disease.Journal of Alzheimer's disease reports · 2021Article
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Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neuritic plaques and neurofibrillary tangles are crucial morphological criteria for the definite diagnosis of Alzheimer's disease. We evaluated 12 unstained frontal cortex and hippocampus samples from 3 brain donors with Alzheimer's disease and 1 control with hyperspectral Raman microscopy on samples of 30 × 30 µm. Data matrices of 64 × 64 pixels were used to quantify different tissue components including proteins, lipids, water and beta-sheets for imaging at 0.47 µm spatial resolution. Hierarchical cluster analysis was performed to visualize regions with high Raman spectral similarities. The Raman images of proteins, lipids, water and beta-sheets matched with classical brain morphology. Protein content was 2.0 times, the beta-sheet content 5.6 times and Raman broad-band autofluorescence was 2.4 times higher inside the plaques and tangles than in the surrounding tissue. The lipid content was practically equal inside and outside. Broad-band autofluorescence showed some correlation with protein content and a better correlation with beta-sheet content. Hyperspectral Raman imaging combined with hierarchical cluster analysis allows for the identification of neuritic plaques and neurofibrillary tangles in unstained, label-free slices of human Alzheimer's disease brain tissue. It permits simultaneous quantification and distinction of several tissue components such as proteins, lipids, water and beta-sheets.
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