Data underlying the publication: Model-based aberration corrected microscopy inside a glass tube

doi: 10.4121/118c6472-dfc4-419b-ba0f-5d2baba77748.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/118c6472-dfc4-419b-ba0f-5d2baba77748
Datacite citation style:
Cox, Daniël; Vellekoop, Ivo (2023): Data underlying the publication: Model-based aberration corrected microscopy inside a glass tube. Version 1. 4TU.ResearchData. dataset.
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Data for the paper "Model-based aberration corrected microscopy inside a glass tube".

Microscope objectives achieve near diffraction-limited performance only when used under the conditions they are designed for. In non-standard geometries, such as thick cover slips or curved surfaces, severe aberrations arise, inevitably impairing high-resolution imaging. Correcting such large aberrations using standard adaptive optics can be challenging: existing solutions are either not suited for strong aberrations, or require extensive feedback measurements, consequently taking a significant portion of the photon budget. We demonstrate that it is possible to pre-compute the corrections needed for high-resolution imaging inside a glass tube based on a priori information only. Our ray-tracing based method achieved over an order of magnitude increase in image contrast without the need for a feedback signal.


1. 3-D 2PEF scans of fluorescent beads inside a glass tube.

2. Brightfield microscopy images of the glass tube.

3. Parameter scans of the phase correction patterns.

4. Sensorless AO scans (Zernike mode scans).

5. Ray-traced model-based phase correction patterns for glass tube.

6. Code to recreate figures from the paper from raw data.

7. Protocol to create tube samples.

  • 2023-11-29 first online, published, posted
In zip file: 3-D 2PEF scans: tiff, model parameter sensitivity: mat, code to reproduce graphs: matlab-script, brightfield image: png.
  • European Union's Horizon 2020 Programme (grant code 678919) European Research Council
University of Twente, Techmed Center, Faculty of Science and Technology (TNW), Biomedical Photonic Imaging (BMPI)


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