ArticleScientific reports2023
Fiber enhancement and 3D orientation analysis in label-free two-photon fluorescence microscopy.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 15 citations in OpenAlex.
- Investigation of the myelin-amyloid interplay in Alzheimer's disease: insights from novel dsCMA imaging in mouse and human brains.Acta neuropathologica communications · 2026Article
- Myelinated fiber labeling and orientation mapping of the human brain with light-sheet fluorescence microscopy.NeuroImage · 2025Article
- Quantitative cytoarchitectural phenotyping of deparaffinized human brain tissues.Communications biology · 2025Article
- Anisotropic light propagation in human brain white matter.Neurophotonics · 2025Article
- The importance of 3D fibre architecture in cancer and implications for biomaterial model design.Nature reviews. Cancer · 2024Review
- Practical considerations for birefringence microscopy of myelin structure: Microscope design and tissue processing for effective imaging.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Multiscale label-free imaging of myelin in human brain tissue with polarization-sensitive optical coherence tomography and birefringence microscopy.Biomedical optics express · 2023Article
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Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
Abstract
Fluorescence microscopy can be exploited for evaluating the brain's fiber architecture with unsurpassed spatial resolution in combination with different tissue preparation and staining protocols. Differently from state-of-the-art polarimetry-based neuroimaging modalities, the quantification of fiber tract orientations from fluorescence microscopy volume images entails the application of specific image processing techniques, such as Fourier or structure tensor analysis. These, however, may lead to unreliable outcomes as they do not isolate myelinated fibers from the surrounding tissue. In this work, we describe a novel image processing pipeline that enables the computation of accurate 3D fiber orientation maps from both grey and white matter regions, exploiting the selective multiscale enhancement of tubular structures of varying diameters provided by a 3D implementation of the Frangi filter. The developed software tool can efficiently generate orientation distribution function maps at arbitrary spatial scales which may support the histological validation of modern diffusion-weighted magnetic resonance imaging tractography. Despite being tested here on two-photon scanning fluorescence microscopy images, acquired from tissue samples treated with a label-free technique enhancing the autofluorescence of myelinated fibers, the presented pipeline was developed to be employed on all types of 3D fluorescence images and fiber staining.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.