Three-dimensional spatiotemporal tracking of nano-objects diffusing in water-filled optofluidic microstructured fiber
| Autor: | Jens Kobelke, Ronny Förster, Shiqi Jiang, Ron Fatobene Ando, Markus A. Schmidt, Malte Plidschun |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
resistance coefficient
Materials science QC1-999 Nanotechnology Nanofluidics 02 engineering and technology 3d tracking of single nanoparticle Tracking (particle physics) nanofluidics Nanomaterials elastic light scattering 03 medical and health sciences Nano Resistance coefficient Fiber confined diffusion Electrical and Electronic Engineering Elastic light scattering 030304 developmental biology 0303 health sciences Physics 021001 nanoscience & nanotechnology Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials biosensing 0210 nano-technology Biosensor Biotechnology |
| Zdroj: | Nanophotonics, Vol 9, Iss 15, Pp 4545-4554 (2020) |
| ISSN: | 2192-8614 2192-8606 |
| Popis: | Three-dimensional (3D) tracking of nano-objects represents a novel pathway for understanding dynamic nanoscale processes within bioanalytics and life science. Here we demonstrate 3D tracking of diffusing 100 nm gold nanosphere within a water-filled optofluidic fiber via elastic light scattering–based position retrieval. Specifically, the correlation between intensity and position inside a region of a fiber-integrated microchannel has been used to decode the axial position from the scattered intensity, while image processing–based tracking was used in the image plane. The 3D trajectory of a diffusing gold nanosphere has been experimentally determined, while the determined diameter analysis matches expectations. Beside key advantages such as homogenous light-line illumination, low-background scattering, long observation time, large number of frames, high temporal and spatial resolution and compatibility with standard microscope, the particular properties of operating with water defines a new bioanalytical platform that is highly relevant for medical and life science applications. |
| Databáze: | OpenAIRE |
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