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Ultra-compact fiber-optic two-photon microscope for functional fluorescence imaging in vivo

Open access
Engelbrecht, Christoph J., Johnston, Richard S., Seibel, Eric J., Helmchen, Fritjof·2008·Optics Express

Abstract

We present a small, lightweight two-photon fiberscope and demonstrate its suitability for functional imaging in the intact brain. Our device consists of a hollow-core photonic crystal fiber for efficient delivery of near-IR femtosecond laser pulses, a spiral fiber-scanner for resonant beam steering, and a gradient-index lens system for fluorescence excitation, dichroic beam splitting, and signal collection. Fluorescence light is remotely detected using a standard photomultiplier tube. All optical components have 1 mm dimensions and the microscope's headpiece weighs only 0.6 grams. The instrument achieves micrometer resolution at frame rates of typically 25 Hz with a field-of-view of up to 200 microns. We demonstrate functional imaging of calcium signals in Purkinje cell dendrites in the cerebellum of anesthetized rats. The microscope will be easily portable by a rat or mouse and thus should enable functional imaging in freely behaving animals.

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Metadata

Authors
Engelbrecht, C. J., Johnston, R. S., Seibel, E. J., & Helmchen, F.
Venue
Optics Express
Published
2008-04-04
Volume
16
Issue
8
Pages
5556
ISSN
1094-4087 (ISSN-L)
OpenAlex
W2070737749
Cited by
279
References
0
FWCI
11.76
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Ultra-compact fiber-optic two-photon microscope for functional fluorescence imaging in vivo. https://app.cochat.ai/papers/10.1364/oe.16.005556
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Engelbrecht, C. J., Johnston, R. S., Seibel, E. J., & Helmchen, F. (2008). Ultra-compact fiber-optic two-photon microscope for functional fluorescence imaging in vivo. Optics Express. https://doi.org/10.1364/oe.16.005556

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.