Keemia instituudi andmed

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551 to 560 of 561 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
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
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
MIDAS files.zip Jan 14, 2022 - UT-GPCR003 Fluorescence anisotropy and microscopy measurements experimental metadata of ligand binding to M4 muscarinic receptors ZIP Archive - 15.4 MB - MD5: 617e80e5dbd4ab03c93d7f8ca909a412 MIDAS files in CSV or XLS format combining the measurement data and experimental metadata
migratsioonieelne_statistika.html Jan 14, 2022 - UT-GPCR003 Fluorescence anisotropy and microscopy measurements experimental metadata of ligand binding to M4 muscarinic receptors 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...

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 -

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 -

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 -

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 -

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 -

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 -

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 -

Images used for training U-Net3 based models

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 -

Raw fluorescence anisotropy experiment ASCII files generated by Gen5 software and measured with Synergy Neo plate reader