CIL:28737
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- Collection
- Cite This Work
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Ruusuvuori, Pekka (2021). CIL:28737. In Cell Image Library. UC San Diego Library Digital Collections. Dataset. https://doi.org/10.6075/J0PZ57FX
- Description
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One of the principal challenges in counting or segmenting nuclei is dealing with clustered nuclei. To help assess algorithms' performance in this regard, this synthetic image set consists of five subsets with increasing degree of clustering. Five subsets of 20 images each are provided. Each image contains 300 objects, but the objects overlap and cluster with overlap probability ranging from 0.0 to 0.6, and can be found with CIL 27833, 27853, 28754, 28734, and 28714, respectively. This image set has 0.45 probability overlap. The images were generated with the SIMCEP (http://www.cs.tut.fi/sgn/csb/simcep/tool.html) simulating platform for fluorescent cell population images (Lehmussola et al., IEEE T. Med. Imaging, 2007 and Lehmussola et al., P. IEEE, 2008). Ground truth for foreground/background segmentation are available as binary images as the second image in the tiff image stack.
Recommended citation "We used the Synthetic 1 image set (Ruusuvuori et al., in Proc. of the 16th European Signal Processing Conference (EUSIPCO-2008), 2008), available from the Broad Bioimage Benchmark Collection (www.broad.mit.edu/bbbc)." - Date Issued
- 2021
- Researcher
- Technical Details
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Preparation: first image computer simulation
Relation to intact cell: dispersed cells in vitro
Item type: portrayed image; computational methods
Imaging mode: fluorescence microscopy
Processing history: second image segmentation of simulated image - Series
- Anatomy
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- Language
- No linguistic content; Not applicable
- Identifier
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Samplenumber: 28737
- Related Resources
- Source Record in the Cell Image Library: https://doi.org/10.7295/W9CIL28737
- Broad Bioimage Benchmark Collection ("Synthetic cells"): https://bbbc.broadinstitute.org/search/synthetic%201?
Source data
Other resource
- License
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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License
- Rights Holder
- UC Regents
- Copyright
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Under copyright (US)
Use: This work is available from the UC San Diego Library. This digital copy of the work is intended to support research, teaching, and private study.
Constraint(s) on Use: This work is protected by the U.S. Copyright Law (Title 17, U.S.C.). Use of this work beyond that allowed by "fair use" or any license applied to this work requires written permission of the copyright holder(s). Responsibility for obtaining permissions and any use and distribution of this work rests exclusively with the user and not the UC San Diego Library. Inquiries can be made to the UC San Diego Library program having custody of the work.
- Digital Object Made Available By
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Research Data Curation Program, UC San Diego, La Jolla, 92093-0175 (https://lib.ucsd.edu/rdcp)
- Last Modified
2022-08-12