ArticleScientific reports2016
Label-free, multi-scale imaging of ex-vivo mouse brain using spatial light interference microscopy.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 19 citations in OpenAlex.
- Exploring the 3D architecture of brain tissue using digital holographic microscopy.Biomedical optics express · 2026Article
- Permittivity tensor imaging: modular label-free imaging of 3D dry mass and 3D orientation at high resolution.Nature methods · 2024Article
- Multi-contrast digital histopathology of mouse organs using quantitative phase imaging and virtual staining.Biomedical optics express · 2023Article
- Preprocessing methods for quantitative phase image stitching.Biomedical optics express · 2022Article
- The Progress of Label-Free Optical Imaging in Alzheimer's Disease Screening and Diagnosis.Frontiers in aging neuroscience · 2021Review
- Real-time Jones phase microscopy for studying transparent and birefringent specimens.Optics express · 2020Article
- Upcoming imaging concepts and their impact on treatment planning and treatment response in radiation oncology.Radiation oncology (London, England) · 2018Article
- Prenatal Exposure to DEHP Induces Neuronal Degeneration and Neurobehavioral Abnormalities in Adult Male Mice.Toxicological sciences : an official journal of the Society of Toxicology · 2018Article
- Optical properties of acute kidney injury measured by quantitative phase imaging.Biomedical optics express · 2018Article
- Quantitative assessment of neural outgrowth using spatial light interference microscopy.Journal of biomedical optics · 2017Article
- Measurement of multispectral scattering properties in mouse brain tissue.Biomedical optics express · 2017Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Brain connectivity spans over broad spatial scales, from nanometers to centimeters. In order to understand the brain at multi-scale, the neural network in wide-field has been visualized in detail by taking advantage of light microscopy. However, the process of staining or addition of fluorescent tags is commonly required, and the image contrast is insufficient for delineation of cytoarchitecture. To overcome this barrier, we use spatial light interference microscopy to investigate brain structure with high-resolution, sub-nanometer pathlength sensitivity without the use of exogenous contrast agents. Combining wide-field imaging and a mosaic algorithm developed in-house, we show the detailed architecture of cells and myelin, within coronal olfactory bulb and cortical sections, and from sagittal sections of the hippocampus and cerebellum. Our technique is well suited to identify laminar characteristics of fiber tract orientation within white matter, e.g. the corpus callosum. To further improve the macro-scale contrast of anatomical structures, and to better differentiate axons and dendrites from cell bodies, we mapped the tissue in terms of its scattering property. Based on our results, we anticipate that spatial light interference microscopy can potentially provide multiscale and multicontrast perspectives of gross and microscopic brain anatomy.
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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.