Data underlying the publication: Noise amplification and ill-convergence of Richardson-Lucy deconvolution
doi:10.4121/b47dff09-f266-42fc-87af-3c7ad9349de7.v3
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doi: 10.4121/b47dff09-f266-42fc-87af-3c7ad9349de7
doi: 10.4121/b47dff09-f266-42fc-87af-3c7ad9349de7
Datacite citation style:
Stallinga, S. (Sjoerd); Liu, Yiming; Panezai, Spozmai; Wang, Yutong (2024): Data underlying the publication: Noise amplification and ill-convergence of Richardson-Lucy deconvolution. Version 3. 4TU.ResearchData. dataset. https://doi.org/10.4121/b47dff09-f266-42fc-87af-3c7ad9349de7.v3
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
CC BY 4.0
The dataset pertains to a study on noise amplification and sensitivity for Richardson-Lucy deconvolution of widefield fluorescence microscopy image data. The image data pertains to the MitoTracker red channel (emission wavelength 599 nm) and Alexa Fluor 488 Phalloidin channel (emission wavelength 512 nm), labeling mitochondria and actin, respectively, of a sample of Bovine Pulmonary Arterial Endothelial cells (BPAE-cells, ThermoFisher FluoCells \#1), imaged with a Nikon Ti-E microscope body with a 40X/NA0.95 objective lens with 1.5X magnification adapter, equipped with an sCMOS camera (Teledyne Kinetix, 3200 3200 pixels, pixel size 6.45 micron. In addition, a set of dark images was recorded for the assessment of offset and readout noise, and a through-focus bead measurement for PSF/OTF assessment.
history
- 2024-06-25 first online
- 2024-07-03 published, posted
publisher
4TU.ResearchData
format
image/tiff
funding
- Nanocubic (grant code 101055013) ERC
- Digital Pathology in 3D (grant code 19745 ) NWO-TTW
organizations
TU Delft, Faculty of Applied Sciences, Department of Imaging Physics
DATA
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download all files (zip)
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