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601 to 610 of 613 Results
RF-FL-1.zip
Jan 16, 2022 - UT-GPCR002 Machine learning models for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images
ZIP Archive - 154.0 MB - MD5: 909c653b0327db87759cd487debadda0
Random forest based fluorescence image cell segmentation model as Ilastik model
U-Net3-BF-1.zip
Jan 16, 2022 - UT-GPCR002 Machine learning models for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images
ZIP Archive - 13.7 MB - MD5: 56fb5e9106cbfbb35df1a1ba7336825e
U-Net3 based bright-field image cell segmentation model as Keras model
U-Net3-FL-1.zip
Jan 16, 2022 - UT-GPCR002 Machine learning models for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images
ZIP Archive - 14.2 MB - MD5: 1a1aecbbb79cb68beeb6fbf9b6e0f011
U-Net3 based fluorescence image cell segmentation model as Keras model
UT-GPCR004 CHO-K1 cell line bright-field and fluorescence microscopy and corresponding segmentation ground truth
Jan 16, 2022
Tahk, Maris-Johanna; Torp, Jane; Ali, Mohammed A.S.; Fishman, Dmytro; Parts, Leopold; Grätz, Lukas; Müller, Christoph; Keller, Max; Veiksina, Santa; Laasfeld, Tõnis; Rinken, Ago, 2022, "UT-GPCR004 CHO-K1 cell line bright-field and fluorescence microscopy and corresponding segmentation ground truth", https://doi.org/10.23673/RE-305, DATADOI, V1
The "UT-GPCR004 CHO-K1 cell line bright-field and fluorescence microscopy and corresponding segmentation ground truth" dataset contains the raw microscopy images, corresponding bright-field Z-stack based contrast-enhanced images and the corresponding manual ground truth for fluorescence and bright-field images as well as ground truth generated from...
Ilastik training.zip
Jan 16, 2022 - UT-GPCR004 CHO-K1 cell line bright-field and fluorescence microscopy and corresponding segmentation ground truth
ZIP Archive - 514.9 MB - MD5: dfe14ab180619c2c1257079dd38de63c
Images used for training Ilastik random forest models
migratsioonieelne_statistika.html
Jan 16, 2022 - UT-GPCR004 CHO-K1 cell line bright-field and fluorescence microscopy and corresponding segmentation ground truth
HTML - 907 B - MD5: c07b6daef3dbee864bf87e6aa836cde2
2026. aasta migratsiooni käigus varasemast DataDOI süsteemist üle kantud kasutusstatistika kajastab tegevust eelmises DSpace-põhises süsteemis ega näita Dataverse’i uusi kasutusandmeid. Usage statistics carried over from the previous DataDOI system as part of the 2026 migration reflect activity in the former DSpace-based system and do not represent...
README.txt
Jan 16, 2022 - UT-GPCR004 CHO-K1 cell line bright-field and fluorescence microscopy and corresponding segmentation ground truth
Plain Text - 5.7 KB - MD5: c8ed474cb7a894a97dda3ed9c0731318
README
U-Net3 training.zip
Jan 16, 2022 - UT-GPCR004 CHO-K1 cell line bright-field and fluorescence microscopy and corresponding segmentation ground truth
ZIP Archive - 740.2 MB - MD5: 5ceb4b33824f9f4626018036e67019bc
Images used for training U-Net3 based models
UT-GPCR003 Fluorescence anisotropy and microscopy measurements experimental metadata of ligand binding to M4 muscarinic receptors
Jan 14, 2022
Tahk, Maris-Johanna; Torp, Jane; Ali, Mohammed A.S.; Fishman, Dmytro; Parts, Leopold; Grätz, Lukas; Müller, Christoph; Keller, Max; Veiksina, Santa; Laasfeld, Tõnis; Rinken, Ago, 2022, "UT-GPCR003 Fluorescence anisotropy and microscopy measurements experimental metadata of ligand binding to M4 muscarinic receptors", https://doi.org/10.23673/RE-303, DATADOI, V1
The "UT-GPCR003 Fluorescence anisotropy and microscopy measurements experimental metadata of ligand binding to M4 muscarinic receptors" dataset contains the raw fluorescence anisotropy data for ligand binding to M4 muscarinic receptors on budded baculovirus surface as well as processed data for fluorescence anisotropy measurements and microscopy me...
ASCII files.zip
Jan 14, 2022 - UT-GPCR003 Fluorescence anisotropy and microscopy measurements experimental metadata of ligand binding to M4 muscarinic receptors
ZIP Archive - 2.1 MB - MD5: 1dbffe547cd9e346dc7fb0ffb68a668f
Raw fluorescence anisotropy experiment ASCII files generated by Gen5 software and measured with Synergy Neo plate reader
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