cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6075/j0r49pf5
title: CIL:27847. In Cell Image Library

description: 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 0.0 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)."
description: 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
DOI: 10.6075/j03f4np6
title: CIL:2786, Caenorhabditis elegans. In Cell Image Library

description: The purpose of the dataset C. elegans terminal bulb aging is to deduce the age of the nemathode based on images of the pharynx terminal bulb (part of the eating apparatus). Images of C. elegans were taken at different chronological ages. This image is part of the day 8 data set. Note that the morphological and chronological ages are not fully correlated due to the variability among individuals even though the individuals are genetically identical. The source for the dataset is Laboratory of Genetics/NIA/NIH.
description: Relation to intact cell: whole mounted tissue
Item type: recorded image
Imaging mode: differential interference contrast microscopy
Parameter imaged: optical path length gradient
Source of contrast: boundaries between regions with different refractive index
Visualization methods: visualization of contiguous regions
Processing history: unprocessed raw data
description: Terminal Bulb is a dataset of DIC (differential interference contrast) 20x microscopy images of the pharynx terminal bulb of C. elegans at different ages (0, 2, 4, 6, 8, 10, 12 days). Note that the data sets for each age can be found by searching for a featured image from each set: CIL 1587, 1694, 1905, 2213, 2622, 2544, and 2606, respectively.
DOI: 10.6075/j0x928zj
title: CIL:27859. In Cell Image Library

description: 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
description: 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 0.15 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)."
DOI: 10.6075/j03j3bm7
title: CIL:27858. In Cell Image Library

description: 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 0.15 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)."
description: 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
DOI: 10.6075/j02j69h9
title: CIL:27856. In Cell Image Library

description: 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
description: 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 0.15 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)."
DOI: 10.6075/j09k48x1
title: CIL:27853. In Cell Image Library

description: 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
description: 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 0.15 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)."
DOI: 10.6075/j0jw8czh
title: CIL:2792, Caenorhabditis elegans. In Cell Image Library

description: Relation to intact cell: whole mounted tissue
Item type: recorded image
Imaging mode: differential interference contrast microscopy
Parameter imaged: optical path length gradient
Source of contrast: boundaries between regions with different refractive index
Visualization methods: visualization of contiguous regions
Processing history: unprocessed raw data
description: Terminal Bulb is a dataset of DIC (differential interference contrast) 20x microscopy images of the pharynx terminal bulb of C. elegans at different ages (0, 2, 4, 6, 8, 10, 12 days). Note that the data sets for each age can be found by searching for a featured image from each set: CIL 1587, 1694, 1905, 2213, 2622, 2544, and 2606, respectively.
description: The purpose of the dataset C. elegans terminal bulb aging is to deduce the age of the nemathode based on images of the pharynx terminal bulb (part of the eating apparatus). Images of C. elegans were taken at different chronological ages. This image is part of the day 8 data set. Note that the morphological and chronological ages are not fully correlated due to the variability among individuals even though the individuals are genetically identical. The source for the dataset is Laboratory of Genetics/NIA/NIH.
DOI: 10.6075/j0cf9nrg
title: CIL:27865. In Cell Image Library

description: 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
description: 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 0.15 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)."
DOI: 10.6075/j0n58k04
title: CIL:27864. In Cell Image Library

description: 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
description: 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 0.15 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)."
DOI: 10.6075/j0jw8cj4
title: CIL:27863. In Cell Image Library

description: 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 0.15 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)."
description: 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
DOI: 10.6075/j00000sr
title: CIL:27862. In Cell Image Library

description: 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 0.15 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)."
description: 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
DOI: 10.6075/j0st7nxg
title: CIL:2789, Caenorhabditis elegans. In Cell Image Library

description: Relation to intact cell: whole mounted tissue
Item type: recorded image
Imaging mode: differential interference contrast microscopy
Parameter imaged: optical path length gradient
Source of contrast: boundaries between regions with different refractive index
Visualization methods: visualization of contiguous regions
Processing history: unprocessed raw data
description: Terminal Bulb is a dataset of DIC (differential interference contrast) 20x microscopy images of the pharynx terminal bulb of C. elegans at different ages (0, 2, 4, 6, 8, 10, 12 days). Note that the data sets for each age can be found by searching for a featured image from each set: CIL 1587, 1694, 1905, 2213, 2622, 2544, and 2606, respectively.
description: The purpose of the dataset C. elegans terminal bulb aging is to deduce the age of the nemathode based on images of the pharynx terminal bulb (part of the eating apparatus). Images of C. elegans were taken at different chronological ages. This image is part of the day 8 data set. Note that the morphological and chronological ages are not fully correlated due to the variability among individuals even though the individuals are genetically identical. The source for the dataset is Laboratory of Genetics/NIA/NIH.
DOI: 10.6075/j0f47n45
title: CIL:2796, Caenorhabditis elegans. In Cell Image Library

description: The purpose of the dataset C. elegans terminal bulb aging is to deduce the age of the nemathode based on images of the pharynx terminal bulb (part of the eating apparatus). Images of C. elegans were taken at different chronological ages. This image is part of the day 8 data set. Note that the morphological and chronological ages are not fully correlated due to the variability among individuals even though the individuals are genetically identical. The source for the dataset is Laboratory of Genetics/NIA/NIH.
description: Terminal Bulb is a dataset of DIC (differential interference contrast) 20x microscopy images of the pharynx terminal bulb of C. elegans at different ages (0, 2, 4, 6, 8, 10, 12 days). Note that the data sets for each age can be found by searching for a featured image from each set: CIL 1587, 1694, 1905, 2213, 2622, 2544, and 2606, respectively.
description: Relation to intact cell: whole mounted tissue
Item type: recorded image
Imaging mode: differential interference contrast microscopy
Parameter imaged: optical path length gradient
Source of contrast: boundaries between regions with different refractive index
Visualization methods: visualization of contiguous regions
Processing history: unprocessed raw data
DOI: 10.6075/j0sj1jnm
title: CIL:2788, Caenorhabditis elegans. In Cell Image Library

description: The purpose of the dataset C. elegans terminal bulb aging is to deduce the age of the nemathode based on images of the pharynx terminal bulb (part of the eating apparatus). Images of C. elegans were taken at different chronological ages. This image is part of the day 8 data set. Note that the morphological and chronological ages are not fully correlated due to the variability among individuals even though the individuals are genetically identical. The source for the dataset is Laboratory of Genetics/NIA/NIH.
description: Terminal Bulb is a dataset of DIC (differential interference contrast) 20x microscopy images of the pharynx terminal bulb of C. elegans at different ages (0, 2, 4, 6, 8, 10, 12 days). Note that the data sets for each age can be found by searching for a featured image from each set: CIL 1587, 1694, 1905, 2213, 2622, 2544, and 2606, respectively.
description: Relation to intact cell: whole mounted tissue
Item type: recorded image
Imaging mode: differential interference contrast microscopy
Parameter imaged: optical path length gradient
Source of contrast: boundaries between regions with different refractive index
Visualization methods: visualization of contiguous regions
Processing history: unprocessed raw data
DOI: 10.6075/j0sb44f1
title: CIL:27869. In Cell Image Library

description: 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 0.15 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)."
description: 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
DOI: 10.6075/j0vx0f4p
title: CIL:27866. In Cell Image Library

description: 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
description: 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 0.15 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)."
DOI: 10.6075/j0t152ng
title: CIL:2769, Caenorhabditis elegans. In Cell Image Library

description: The purpose of the dataset C. elegans terminal bulb aging is to deduce the age of the nemathode based on images of the pharynx terminal bulb (part of the eating apparatus). Images of C. elegans were taken at different chronological ages. This image is part of the day 8 data set. Note that the morphological and chronological ages are not fully correlated due to the variability among individuals even though the individuals are genetically identical. The source for the dataset is Laboratory of Genetics/NIA/NIH.
description: Terminal Bulb is a dataset of DIC (differential interference contrast) 20x microscopy images of the pharynx terminal bulb of C. elegans at different ages (0, 2, 4, 6, 8, 10, 12 days). Note that the data sets for each age can be found by searching for a featured image from each set: CIL 1587, 1694, 1905, 2213, 2622, 2544, and 2606, respectively.
description: Relation to intact cell: whole mounted tissue
Item type: recorded image
Imaging mode: differential interference contrast microscopy
Parameter imaged: optical path length gradient
Source of contrast: boundaries between regions with different refractive index
Visualization methods: visualization of contiguous regions
Processing history: unprocessed raw data