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501 to 510 of 749 Results
README.txt
Jan 19, 2022 - UT-GPCR001 microscopy of ligand binding to M4 muscarinic receptor in live CHO-K1-hM4 cells
Plain Text - 3.2 KB - MD5: f08738d456897bb952c2cd4bdcb927d7
migratsioonieelne_statistika.html
Jan 16, 2022 - UT-GPCR002 Machine learning models for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images
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-GPCR002 Machine learning models for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images
Plain Text - 5.5 KB - MD5: 8ea32d6fc6608c9bb88f3f58393234ff
README
RF-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 - 466.9 MB - MD5: 0e3491e2653da38cb1b3c73146a6cdad
Random forest based bright-field image cell segmentation model as Ilastik model
RF-BF-2.zip
Jan 16, 2022 - UT-GPCR002 Machine learning models for CHO-K1 cell segmentation from fluorescence and bright-field microscopy images
Unknown - 1022.6 MB - MD5: aa0b7ff5cf8f238c870cd2ab01567ba5
Random forest based bright-field image cell segmentation model as Ilastik model
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
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...
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