ArticleBiomedical optics express2017
Correlative imaging of biological tissues with apertureless scanning near-field optical microscopy and confocal laser scanning microscopy.
Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Infrared nanoscopy for subcellular chemical imaging.QRB discovery · 2026Review
- In Depth Mapping of Mesoporous Silica Nanoparticles in Malignant Glioma Cells Using Scattering-Type Scanning Near-Field Optical Microscopy.Chemical & biomedical imaging · 2024Article
- Thermal near-field scattering characteristics for dielectric materials.Scientific reports · 2023Article
- Label-free nanoscale mapping of intracellular organelle chemistry.Communications biology · 2023Article
- Scattering-type Scanning Near-Field Optical Microscopy of Polymer-Coated Gold Nanoparticles.ACS omega · 2022Article
- Infrared nanoscopy and tomography of intracellular structures.Communications biology · 2021Article
- Melanins as Sustainable Resources for Advanced Biotechnological Applications.Global challenges (Hoboken, NJ) · 2021Review
- SSNOMBACTER: A collection of scattering-type scanning near-field optical microscopy and atomic force microscopy images of bacterial cells.GigaScience · 2020Article
- Correlative microscopy approach for biology using X-ray holography, X-ray scanning diffraction and STED microscopy.Nature communications · 2018Article
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Authors and funding
4 authors.
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Abstract
Apertureless scanning near-field optical microscopy (ASNOM) has attracted considerable interest over the past years as a result of its valuable contrast mechanisms and capabilities for optical resolutions in the nanoscale range. However, at this moment the intersections between ASNOM and the realm of bioimaging are scarce, mainly due to data interpretation difficulties linked to the limited body of work performed so far in this field and hence the reduced volume of supporting information. We propose an imaging approach that holds significant potential for alleviating this issue, consisting of correlative imaging of biological specimens using a multimodal system that incorporates ASNOM and confocal laser scanning microscopy (CLSM), which allows placing near-field data into a well understood context of anatomical relevance. We demonstrate this approach on zebrafish retinal tissue. The proposed method holds important implications for the in-depth understanding of biological items through the prism of ASNOM and CLSM data complementarity.
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Registered trials
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