cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6075/j0k936w3
title: CIL:45784, Homo sapiens. In Cell Image Library

description: Gustafsdottir et al. (doi:10.1371/journal.pone.0080999) have developed a multiplex cytological profiling assay that "paints the cell" with as many fluorescent markers as possible without compromising our ability to extract rich, quantitative profiles in high throughput. The assay detects seven major cellular components. In a pilot screen of bioactive compounds, the assay detected a range of cellular phenotypes and it clustered compounds with similar annotated protein targets or chemical structure based on cytological profiles. The results demonstrate that the assay captures subtle patterns in the combination of morphological labels, thereby detecting the effects of chemical compounds even though their targets are not stained directly. This image-based assay provides an unbiased approach to characterize compound- and disease-associated cell states to support future probe discovery.

Using the cell-painting assay, the Broad Institute has assembled a reference dataset of profiles for U2OS osteosarcoma cells treated with ~30,000 compounds. The compound collection includes DOS-derived compounds (20,000), as well as chemically diverse MLI compounds with biologically diverse performance identified through analysis of PubChem (10,000), and known bioactive compounds to serve as landmarks (2,500). The DOS compounds consist of structurally diverse and stereochemically rich compounds with structures distinct from the current MLSMR. The compound collection also includes 267 distinct compounds nominated by MLPCN Centers from projects for which the Centers would like to identify new chemical series with similar activities.

The experiment consists of 413 microtiter plates. Each plate has 384 wells. Each well has 9 fields of view. Each field was imaged in five channels (detection wavelengths), and each channel is stored as a separate, grayscale 16-bit TIFF image file.
description: Plate 24604 - Phenotypic profiling attempts to summarize multiparametric, feature-based analysis of cellular phenotypes of each sample so that similarities between profiles reflect similarities between samples. This image set provides a basis for testing image-based profiling methods wrt. to their ability to distinguish the effects of small molecules.
 
Images
The images are of U2OS cells treated with each of 1600 known bioactive compounds and labeled with six labels that characterize seven organelles (the .cell-painting. assay).
 
This pilot experiment consists of 20 plates. Each plate has 384 wells and each well has 9 fields of view for a total of 69,120 fields of view. Each field was imaged in five channels (detection wavelengths), and each channel is stored as a separate, grayscale image file, so there are 345,600 image files in 16-bit TIFF format.
DOI: 10.6075/j0xg9r6v
title: CIL:39520, Homo sapiens, breast cancer cell. In Cell Image Library

description: Preparation: living tissue; microfulidic chamber
Relation to intact cell: whole mounted tissue
Item type: recorded image
Imaging mode: phase contrast microscopy
Parameter imaged: elastic scattering of photons
Source of contrast: differences in amount of elastic light scattering
Visualization methods: visualization of contiguous regions
Processing history: unprocessed raw data
description: More experimental details are available in the referenced manuscript.
description: Video illustrating the speed of breast cancer cell movement. Cancer cells can move as fast as 200 µm/hour through very small channels. This video shows the breast cancer cell line MDA-MB 231, moving through a microfluidic device that has 600 µm long channels, 12 x12 µm channel cross section, with images taken one frame every 10 minutes.
DOI: 10.6075/j0db80jt
title: CIL:11985, Drosophila melanogaster, epithelial cell. In Cell Image Library

description: Time lapse of mCherry-tubulin by wide-field epifluorescence at the coverslip interface (left), mCherry-tubulin by TIRF (middle), and myosin-GFP by TIRF (right). The acquisition of Cherry-tubulin by TIRF was at 2s intervals, whereas the mCherry-tubulin by epifluorescence and myosin-GFP TIRF were at 36 and 10 s intervals, respectively. Video corresponds to Fig 3A and video 2 from J Cell Bio 186:727-738, 2009. Note that this video is the wild type control for another video in the series that shows the same biological process in the presence of kinesin-6 RNAi. 
Total internal reflection microscopy was performed using a microscope (Perfect-focus TE2000; Nikon) with a 100×, 1.45 NA objective (Nikon) and illumination from either a 488-nm argon laser (100 mW) or a 491-nm solid-state laser (100 mW) and a 561-nm solid-state laser (50 mW). For dual-color TIRF microscopy, we used a triplepass dichroic filter (z491/561/633rpc) and changed the emission filter (ET525/50 or ET595/50; both from Chroma Technology Corp.) with a filter wheel placed before the camera. In some cases, an excitation notch filter was used in the filter cube (NF01-405/488/561/635; Semrock, Inc.). Images were typically captured every 2-3 s with a 50-200 ms exposure with an EM charge-coupled device camera (iXon; Andor Technology). The microscope was controlled and images were acquired using open source MicroManager software (http://www.micro-manager.org).
description: Preparation: living tissue
Relation to intact cell: dispersed cells in vitro
Item type: recorded image
Imaging mode: fluorescence microscopy; TIRF
Parameter imaged: fluorescence emission
Source of contrast: distribution of a specific protein
Visualization methods: EGFP; mCherryFP
Processing history: unprocessed raw data
Data qualification: Raw;spatialmeasurements
DOI: 10.15468/dl.bpjag6
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is CHN.28_1",
 "TaxonKey is Erysimum canescens"
 ]
}

 The dataset includes 12 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009324-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6075/j0nk3dmc
title: CIL: 52583. In Cell Image Library

description: Tile x=1, y=6, z=12 from PS09_20676_2B_Myc_Terc
description: One z layer of a z-stack at the given tile position
description: Imaging mode: Fluorescence in situ hybridization (FISH)
Visualization methods: Nikon Eclipse fluorescence inverted microscope equipped with a charge-coupled device camera (Andor Neo sCMOS), using filter sets for DAPI/ YGFP/TRITC/CY GFP with an objective lens (Plan Apo VC 100x, Nikon). Captured with 100x magnification of the objective and a pixel size of 0.07 microns
DOI: 10.6075/j0df6qn4
title: CIL: 51691, Mus musculus, RAW 264.7 TIB-71. In Cell Image Library

description: Imaging mode: DICM
Visualization methods: Spinning disc confocal DICM & widefield DICM Using a Nikon TiE microscope equipped with a 40x, 0.95 N.A. objective and a Hamamatsu ORCA-Flash 4.0 V3 Digital CMOS camera, or a Nikon TiE spinning-disc confocal microscope equipped with a Yokogawa CSU-X1 scanning unit, an Andor iXon 888 EMCCD camera, and a 60x, 1.3 N.A. water-immersion objective or a 40x, 0.95 N.A. objective
description: A novel cell population analysis to quantify both initial and long-term drug effects, namely pseudopod adaptation and recovery following an initial drug-induced perturbation, adding drug slowly in 1/4 increments over 90 minutes.
description: ~1200 cells were imaged on glass. More gradual additions of drug or carrier were carried out in four equal increments at 0, 30, 60, 90 min, together yielding the same final drug concentration indicated in rapid addition studies. The subpopulation of ~100 cells with extended, leading edge pseudopods at t = 0 were imaged and counted in each unit area at the indicated timepoints during a 125 min observation period T=37C

Images are provided as uncorrected, 16 bit .nd2 files to preserve all original data. To view these .nd2 files:
1. Download ImageJ viewer at (https://imagej.nih.gov/ij/download.html)
2. Download the BioFormats.jar package at (https://www.openmicroscopy.org/bio-formats/downloads/)
3. Open the ImageJ directory after installation and drag the extracted BioFormats.jar package into the "Plugins" subdirectory
4. Open an .nd2 image using imageJ and select opening options when prompted, if desired. If no modifications are desired, select "OK"
5. The 16 bit image will typically look dark and will require brightness adjustment.
6. In the ImageJ toolbar, select Image &gt;&gt; Adjust &gt;&gt; Brightness/Contrast and select "Auto", or manually set the brightness and contrast.
DOI: 10.6075/j0wm1cw9
title: CIL: 51876, Mus musculus, RAW 264.7 TIB-71. In Cell Image Library

description: ~1200 cells were imaged on glass. More gradual additions of drug or carrier were carried out in four equal increments at 0, 30, 60, 90 min, together yielding the same final drug concentration indicated in rapid addition studies. The subpopulation of ~100 cells with extended, leading edge pseudopods at t = 0 were imaged and counted in each unit area at the indicated timepoints during a 125 min observation period T=37C

Images are provided as uncorrected, 16 bit .nd2 files to preserve all original data. To view these .nd2 files:
1. Download ImageJ viewer at (https://imagej.nih.gov/ij/download.html)
2. Download the BioFormats.jar package at (https://www.openmicroscopy.org/bio-formats/downloads/)
3. Open the ImageJ directory after installation and drag the extracted BioFormats.jar package into the "Plugins" subdirectory
4. Open an .nd2 image using imageJ and select opening options when prompted, if desired. If no modifications are desired, select "OK"
5. The 16 bit image will typically look dark and will require brightness adjustment.
6. In the ImageJ toolbar, select Image &gt;&gt; Adjust &gt;&gt; Brightness/Contrast and select "Auto", or manually set the brightness and contrast.
description: A novel cell population analysis to quantify both initial and long-term drug effects, namely pseudopod adaptation and recovery following an initial drug-induced perturbation, adding drug slowly in 1/4 increments over 90 minutes.
description: Imaging mode: DICM
Visualization methods: Spinning disc confocal DICM & widefield DICM Using a Nikon TiE microscope equipped with a 40x, 0.95 N.A. objective and a Hamamatsu ORCA-Flash 4.0 V3 Digital CMOS camera, or a Nikon TiE spinning-disc confocal microscope equipped with a Yokogawa CSU-X1 scanning unit, an Andor iXon 888 EMCCD camera, and a 60x, 1.3 N.A. water-immersion objective or a 40x, 0.95 N.A. objective
DOI: 10.6075/j0tm79t7
title: CIL: 54147, Homo sapiens, HeLa. In Cell Image Library

description: TK family: The human kinome comprises 538 kinases playing essential cellular functions by catalyzing protein phosphorylations. Systematic annotation of subcellular spatial distribution of the kinome greatly facilitates investigation of normal and disease mechanisms. Here, we present Kinome Atlas (KA), an image-based map of the kinome annotated to 10 compartments of the cell. 456 epitope-tagged kinases, representing 85% of the human kinome, were expressed in HeLa cells and imaged by immunofluorescent microscopy under a unified condition. KA revealed kinase family-enriched subcellular localizations, and discovered a collection of new kinase localizations at mitochondria, plasma membrane, extracellular space, and other unique structures. This resource provides the first snapshot of the kinome under a unified condition, and is a key step toward comprehensive understanding of the spatial and temporal dynamics of the kinome in physiological and disease states.
description: Visualization methods: confocal microscopy
description: Kinome Atlas documented representative images for 456 kinases expressed in HeLa cells, and visualized by immunofluorescence staining of the epitope tag. Nuclei were stained with DAPI. Two representative views from confocal microscopy were collected for each kinase. Also, organelle markers were co-stained for some kinases to indicate specific localization.
DOI: 10.6075/j09p312k
title: CIL: 51161, Mus musculus, RAW 264.7 TIB-71. In Cell Image Library

description: A novel cell population analysis to quantify both initial and long-term drug effects, namely pseudopod adaptation and recovery following an initial drug-induced perturbation, adding drug slowly in 1/4 increments over 90 minutes.
description: Imaging mode: DICM
Visualization methods: Spinning disc confocal DICM & widefield DICM Using a Nikon TiE microscope equipped with a 40x, 0.95 N.A. objective and a Hamamatsu ORCA-Flash 4.0 V3 Digital CMOS camera, or a Nikon TiE spinning-disc confocal microscope equipped with a Yokogawa CSU-X1 scanning unit, an Andor iXon 888 EMCCD camera, and a 60x, 1.3 N.A. water-immersion objective or a 40x, 0.95 N.A. objective
description: ~1200 cells were imaged on glass. More gradual additions of drug or carrier were carried out in four equal increments at 0, 30, 60, 90 min, together yielding the same final drug concentration indicated in rapid addition studies. The subpopulation of ~100 cells with extended, leading edge pseudopods at t = 0 were imaged and counted in each unit area at the indicated timepoints during a 125 min observation period T=37C

Images are provided as uncorrected, 16 bit .nd2 files to preserve all original data. To view these .nd2 files:
1. Download ImageJ viewer at (https://imagej.nih.gov/ij/download.html)
2. Download the BioFormats.jar package at (https://www.openmicroscopy.org/bio-formats/downloads/)
3. Open the ImageJ directory after installation and drag the extracted BioFormats.jar package into the "Plugins" subdirectory
4. Open an .nd2 image using imageJ and select opening options when prompted, if desired. If no modifications are desired, select "OK"
5. The 16 bit image will typically look dark and will require brightness adjustment.
6. In the ImageJ toolbar, select Image &gt;&gt; Adjust &gt;&gt; Brightness/Contrast and select "Auto", or manually set the brightness and contrast.
DOI: 10.6075/j0mw2gqz
title: CIL: 52915, Homo sapiens, High-grade serious overian cancer. In Cell Image Library

description: One z layer of a z-stack at the given image
description: Imaging mode: Fluorescence in situ hybridization (FISH)
Visualization methods: Nikon Eclipse fluorescence inverted microscope equipped with a charge-coupled device camera (Andor Neo sCMOS), using filter sets for DAPI/ YGFP/TRITC/CY GFP with an objective lens (Plan Apo VC 100x, Nikon). Captured with 100x magnification of the objective and a pixel size of 0.07 microns
description: Image 11, z=8 from SC_007
DOI: 10.6075/j0ht2ntr
title: CIL: 51786, Mus musculus, RAW 264.7 TIB-71. In Cell Image Library

description: Imaging mode: DICM
Visualization methods: Spinning disc confocal DICM & widefield DICM Using a Nikon TiE microscope equipped with a 40x, 0.95 N.A. objective and a Hamamatsu ORCA-Flash 4.0 V3 Digital CMOS camera, or a Nikon TiE spinning-disc confocal microscope equipped with a Yokogawa CSU-X1 scanning unit, an Andor iXon 888 EMCCD camera, and a 60x, 1.3 N.A. water-immersion objective or a 40x, 0.95 N.A. objective
description: ~1200 cells were imaged on glass. More gradual additions of drug or carrier were carried out in four equal increments at 0, 30, 60, 90 min, together yielding the same final drug concentration indicated in rapid addition studies. The subpopulation of ~100 cells with extended, leading edge pseudopods at t = 0 were imaged and counted in each unit area at the indicated timepoints during a 125 min observation period T=37C

Images are provided as uncorrected, 16 bit .nd2 files to preserve all original data. To view these .nd2 files:
1. Download ImageJ viewer at (https://imagej.nih.gov/ij/download.html)
2. Download the BioFormats.jar package at (https://www.openmicroscopy.org/bio-formats/downloads/)
3. Open the ImageJ directory after installation and drag the extracted BioFormats.jar package into the "Plugins" subdirectory
4. Open an .nd2 image using imageJ and select opening options when prompted, if desired. If no modifications are desired, select "OK"
5. The 16 bit image will typically look dark and will require brightness adjustment.
6. In the ImageJ toolbar, select Image &gt;&gt; Adjust &gt;&gt; Brightness/Contrast and select "Auto", or manually set the brightness and contrast.
description: A novel cell population analysis to quantify both initial and long-term drug effects, namely pseudopod adaptation and recovery following an initial drug-induced perturbation, adding drug slowly in 1/4 increments over 90 minutes.
DOI: 10.6075/j0j102rf
title: CIL: 52940, Homo sapiens, High-grade serious overian cancer. In Cell Image Library

description: Imaging mode: Fluorescence in situ hybridization (FISH)
Visualization methods: Nikon Eclipse fluorescence inverted microscope equipped with a charge-coupled device camera (Andor Neo sCMOS), using filter sets for DAPI/ YGFP/TRITC/CY GFP with an objective lens (Plan Apo VC 100x, Nikon). Captured with 100x magnification of the objective and a pixel size of 0.07 microns
description: Image 2, z=12 from SC_011
description: One z layer of a z-stack at the given image
DOI: 10.6075/j0g1609f
title: CIL: 51951, Mus musculus, RAW 264.7 TIB-71. In Cell Image Library

description: Imaging mode: DICM
Visualization methods: Spinning disc confocal DICM & widefield DICM Using a Nikon TiE microscope equipped with a 40x, 0.95 N.A. objective and a Hamamatsu ORCA-Flash 4.0 V3 Digital CMOS camera, or a Nikon TiE spinning-disc confocal microscope equipped with a Yokogawa CSU-X1 scanning unit, an Andor iXon 888 EMCCD camera, and a 60x, 1.3 N.A. water-immersion objective or a 40x, 0.95 N.A. objective
description: ~1200 cells were imaged on glass. More gradual additions of drug or carrier were carried out in four equal increments at 0, 30, 60, 90 min, together yielding the same final drug concentration indicated in rapid addition studies. The subpopulation of ~100 cells with extended, leading edge pseudopods at t = 0 were imaged and counted in each unit area at the indicated timepoints during a 125 min observation period T=37C

Images are provided as uncorrected, 16 bit .nd2 files to preserve all original data. To view these .nd2 files:
1. Download ImageJ viewer at (https://imagej.nih.gov/ij/download.html)
2. Download the BioFormats.jar package at (https://www.openmicroscopy.org/bio-formats/downloads/)
3. Open the ImageJ directory after installation and drag the extracted BioFormats.jar package into the "Plugins" subdirectory
4. Open an .nd2 image using imageJ and select opening options when prompted, if desired. If no modifications are desired, select "OK"
5. The 16 bit image will typically look dark and will require brightness adjustment.
6. In the ImageJ toolbar, select Image &gt;&gt; Adjust &gt;&gt; Brightness/Contrast and select "Auto", or manually set the brightness and contrast.
description: A novel cell population analysis to quantify both initial and long-term drug effects, namely pseudopod adaptation and recovery following an initial drug-induced perturbation, adding drug slowly in 1/4 increments over 90 minutes.
DOI: 10.6075/j0jd4wd6
title: CIL: 53292, Homo sapiens, Anucleated structure. In Cell Image Library

description: Imaging mode: recorded image
Visualization methods: microscopy
description: Intra-alveolar amylacea body, CD31+ peripheral membrane, adherennt CD31+ monocyte/macrophage
description: CD31 immunohistochemsitry
DOI: 10.6075/j0nc60xh
title: CIL: 54069. In Cell Image Library

description: Visualization methods: confocal microscopy
description: Kinome Atlas documented representative images for 456 kinases expressed in HeLa cells, and visualized by immunofluorescence staining of the epitope tag. Nuclei were stained with DAPI. Two representative views from confocal microscopy were collected for each kinase. Also, organelle markers were co-stained for some kinases to indicate specific localization.
description: TK family: The human kinome comprises 538 kinases playing essential cellular functions by catalyzing protein phosphorylations. Systematic annotation of subcellular spatial distribution of the kinome greatly facilitates investigation of normal and disease mechanisms. Here, we present Kinome Atlas (KA), an image-based map of the kinome annotated to 10 compartments of the cell. 456 epitope-tagged kinases, representing 85% of the human kinome, were expressed in HeLa cells and imaged by immunofluorescent microscopy under a unified condition. KA revealed kinase family-enriched subcellular localizations, and discovered a collection of new kinase localizations at mitochondria, plasma membrane, extracellular space, and other unique structures. This resource provides the first snapshot of the kinome under a unified condition, and is a key step toward comprehensive understanding of the spatial and temporal dynamics of the kinome in physiological and disease states.
DOI: 10.6075/j03f4p4f
title: CIL: 51827, Mus musculus, RAW 264.7 TIB-71. In Cell Image Library

description: Imaging mode: DICM
Visualization methods: Spinning disc confocal DICM & widefield DICM Using a Nikon TiE microscope equipped with a 40x, 0.95 N.A. objective and a Hamamatsu ORCA-Flash 4.0 V3 Digital CMOS camera, or a Nikon TiE spinning-disc confocal microscope equipped with a Yokogawa CSU-X1 scanning unit, an Andor iXon 888 EMCCD camera, and a 60x, 1.3 N.A. water-immersion objective or a 40x, 0.95 N.A. objective
description: A novel cell population analysis to quantify both initial and long-term drug effects, namely pseudopod adaptation and recovery following an initial drug-induced perturbation, adding drug slowly in 1/4 increments over 90 minutes.
description: ~1200 cells were imaged on glass. More gradual additions of drug or carrier were carried out in four equal increments at 0, 30, 60, 90 min, together yielding the same final drug concentration indicated in rapid addition studies. The subpopulation of ~100 cells with extended, leading edge pseudopods at t = 0 were imaged and counted in each unit area at the indicated timepoints during a 125 min observation period T=37C

Images are provided as uncorrected, 16 bit .nd2 files to preserve all original data. To view these .nd2 files:
1. Download ImageJ viewer at (https://imagej.nih.gov/ij/download.html)
2. Download the BioFormats.jar package at (https://www.openmicroscopy.org/bio-formats/downloads/)
3. Open the ImageJ directory after installation and drag the extracted BioFormats.jar package into the "Plugins" subdirectory
4. Open an .nd2 image using imageJ and select opening options when prompted, if desired. If no modifications are desired, select "OK"
5. The 16 bit image will typically look dark and will require brightness adjustment.
6. In the ImageJ toolbar, select Image &gt;&gt; Adjust &gt;&gt; Brightness/Contrast and select "Auto", or manually set the brightness and contrast.