Data supporting the doctoral thesis "Volume electron microscopy with 64 beams and optical transmission detection"
doi: 10.4121/01efed58-9427-478a-8687-50b35daf3d9c
This repository contains a data set supporting the doctoral thesis "Volume electron microscopy with 64 beams and optical transmission detection" by Arent J. KIevits (DOI to be added when thesis is published online). Briefly, this thesis covers the development, bench marking and implementation of a workflow for volume electron microscopy using a 64-beam scanning transmission electron microscope (FAST-EM).
The data contained in this repository pertains to chapter 2 and 5 of the dissertation. The data sets of chapter 3 and 4 have been published already and can be found elsewhere:
- Chapter 3: https://data.4tu.nl/datasets/9c98aee1-608e-4c71-8b89-dcb1e8eb3e5e
- Chapter 4: https://data.4tu.nl/datasets/bf3f2b23-2328-4d81-a0f4-05fdb33117d7.
Chapter 2 covers a literature review of methodological advances in the field of volume electron microscopy, and the data supports Figure 2.1 in the chapter. Chapter 5 provides a thorough description of image artifacts encountered when imaging with FAST-EM and provides suggestions how to mitigate or avoid them. The data is structured in the order of discussion in the chapter(s), the structure can be found in the README.
- 2024-12-19 first online, published, posted
- ZonMw grant 91111.006 (grant code 91111.006) ZonMw
- NWO National Roadmap for Large-Scale Research Infrastructure of the Dutch Research Council (NWO 184.034.014)
- NWO-LIFT (grant code ENPPS.LIFT.019.030) NWO
- EFRO Kansen voor West [more info...] EU-REACT
- Nano Metrology Systems project National Growth Fund, NXTGEN HIGHTECH
DATA
- 6,604 bytesMD5:
f1900f8e14a99652900e2f3c4f96011a
README.md - 3,027,769,511 bytesMD5:
985514d2b627d13973e5e8498f0d6b1f
data.zip -
download all files (zip)
3,027,776,115 bytes unzipped