Published August 14, 2023
| Version v1.0
Dataset
Open
NanoPyx - Figures' Data
Creators
- 1. Instituto Gulbenkian de Ciência, Oeiras, Portugal
- 2. Instituto Gulbenkian de Ciência, Oeiras, Portugal; Instituto Superior Técnico, Lisboa, Portugal
- 3. Instituto Gulbenkian de Ciência, Oeiras, Portugal; Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras, Portugal
- 4. Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
- 5. Instituto de Tecnologia Química e Biológica António Xavier, Universidade Nova de Lisboa, Oeiras, Portugal
- 6. DFG Cluster of Excellence "Physics of Life", TU Dresden, Dresden Germany
- 7. Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland; Turku Bioimaging, University of Turku and Åbo Akademi University, FI- 20520 Turku, FI; Faculty of Science and Engineering, Cell Biology, Åbo Akademi University, Turku, Finland; InFLAMES Research Flagship Center, Åbo Akademi University, FI- 20520, Turku, FI
- 8. Instituto Gulbenkian de Ciência, Oeiras, Portugal; MRC-Laboratory for Molecular Cell Biology, University College London, London, UK
Description
a549_mt.tif
- Data used in Figure "Microscopy image processing workflow using NanoPyx methods".
- Fixed A549 cells immunolabelled against ß-tubulin with Alexa Fluor™ 647.
- Acquired using a Nanoimager microscope (Oxford Nanoimaging; ONI) equipped with a 100 × oil-immersion objective (Olympus 100x NA 1.45)
- Image size 10000x283x283 (pixel size 117 nm)
- .tif 16-bit
huvec_nuclei.tif
- Data used in Figure "Comparative run times of multiple implementations of an algorithm, ran on a consumer-grade laptop and a professional workstation".
- Human Umbilical Vein Endothelial Cells (HUVEC) stained with DAPI
- Acquired in a Marianas spinning-disk confocal microscope. The objective used was a 63x oil (NA 1.4 oil, Plan-Apochromat, M27).
- Image size 100x512x512
- .tif 16-bit
Notes
Files
a549_mt.tif
Files
(1.7 GB)
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Additional details
Related works
- Is referenced by
- Preprint: 10.1101/2023.08.13.553080 (DOI)