matlab bioformats toolbox Search Results


bioformats image toolbox  (Glencoe Software Inc)
93
Glencoe Software Inc bioformats image toolbox
Bioformats Image Toolbox, supplied by Glencoe Software Inc, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/bioformats image toolbox/product/Glencoe Software Inc
Average 93 stars, based on 1 article reviews
bioformats image toolbox - by Bioz Stars, 2026-05
93/100 stars
  Buy from Supplier
matlab bioformats toolbox  (MathWorks Inc)
96
MathWorks Inc matlab bioformats toolbox
Matlab Bioformats Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/matlab bioformats toolbox/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
matlab bioformats toolbox - by Bioz Stars, 2026-05
96/100 stars
  Buy from Supplier
workflow in matlab  (MathWorks Inc)
96
MathWorks Inc workflow in matlab
Workflow In Matlab, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/workflow in matlab/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
workflow in matlab - by Bioz Stars, 2026-05
96/100 stars
  Buy from Supplier
matlab compiler runtime environment  (MathWorks Inc)
96
MathWorks Inc matlab compiler runtime environment
Matlab Compiler Runtime Environment, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/matlab compiler runtime environment/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
matlab compiler runtime environment - by Bioz Stars, 2026-05
96/100 stars
  Buy from Supplier
deep learning toolbox standalone application  (MathWorks Inc)
96
MathWorks Inc deep learning toolbox standalone application
Fig. 2 | The overall workflow of the Deepometry procedure. Step 1 (not shown here) guides users through the installation of the software and packages required to run Deepometry (Python/MATLAB, option A or B) or installation of the <t>standalone</t> application (MATLAB, option C). The application of Deepometry to image data analysis starts with Step 2. Steps 2 and 3, 6–8 and 12 and 13 are preprocessing actions for the training set, validation set and testing set, respectively, served to transform raw input images to data types and shapes appropriate for deep learning operations. Steps 4 and 5 are model training actions (highlighted in red). Steps 9–11 and 14–16 are predicting mechanisms for annotated data (highlighted in cyan) and unannotated data (highlighted in purple), respectively. Steps 17–21 are used to extract deep learning feature embeddings for dimension reduction and data exploration.
Deep Learning Toolbox Standalone Application, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/deep learning toolbox standalone application/product/MathWorks Inc
Average 96 stars, based on 1 article reviews
deep learning toolbox standalone application - by Bioz Stars, 2026-05
96/100 stars
  Buy from Supplier
chemical compound  (Selleck Chemicals)
96
Selleck Chemicals chemical compound
Fig. 2 | The overall workflow of the Deepometry procedure. Step 1 (not shown here) guides users through the installation of the software and packages required to run Deepometry (Python/MATLAB, option A or B) or installation of the <t>standalone</t> application (MATLAB, option C). The application of Deepometry to image data analysis starts with Step 2. Steps 2 and 3, 6–8 and 12 and 13 are preprocessing actions for the training set, validation set and testing set, respectively, served to transform raw input images to data types and shapes appropriate for deep learning operations. Steps 4 and 5 are model training actions (highlighted in red). Steps 9–11 and 14–16 are predicting mechanisms for annotated data (highlighted in cyan) and unannotated data (highlighted in purple), respectively. Steps 17–21 are used to extract deep learning feature embeddings for dimension reduction and data exploration.
Chemical Compound, supplied by Selleck Chemicals, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/chemical compound/product/Selleck Chemicals
Average 96 stars, based on 1 article reviews
chemical compound - by Bioz Stars, 2026-05
96/100 stars
  Buy from Supplier
drug talazoparib selleck s7048  (Selleck Chemicals)
96
Selleck Chemicals drug talazoparib selleck s7048
Fig. 2 | The overall workflow of the Deepometry procedure. Step 1 (not shown here) guides users through the installation of the software and packages required to run Deepometry (Python/MATLAB, option A or B) or installation of the <t>standalone</t> application (MATLAB, option C). The application of Deepometry to image data analysis starts with Step 2. Steps 2 and 3, 6–8 and 12 and 13 are preprocessing actions for the training set, validation set and testing set, respectively, served to transform raw input images to data types and shapes appropriate for deep learning operations. Steps 4 and 5 are model training actions (highlighted in red). Steps 9–11 and 14–16 are predicting mechanisms for annotated data (highlighted in cyan) and unannotated data (highlighted in purple), respectively. Steps 17–21 are used to extract deep learning feature embeddings for dimension reduction and data exploration.
Drug Talazoparib Selleck S7048, supplied by Selleck Chemicals, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/drug talazoparib selleck s7048/product/Selleck Chemicals
Average 96 stars, based on 1 article reviews
drug talazoparib selleck s7048 - by Bioz Stars, 2026-05
96/100 stars
  Buy from Supplier
drug olaparib selleck s1060  (Selleck Chemicals)
96
Selleck Chemicals drug olaparib selleck s1060
Fig. 2 | The overall workflow of the Deepometry procedure. Step 1 (not shown here) guides users through the installation of the software and packages required to run Deepometry (Python/MATLAB, option A or B) or installation of the <t>standalone</t> application (MATLAB, option C). The application of Deepometry to image data analysis starts with Step 2. Steps 2 and 3, 6–8 and 12 and 13 are preprocessing actions for the training set, validation set and testing set, respectively, served to transform raw input images to data types and shapes appropriate for deep learning operations. Steps 4 and 5 are model training actions (highlighted in red). Steps 9–11 and 14–16 are predicting mechanisms for annotated data (highlighted in cyan) and unannotated data (highlighted in purple), respectively. Steps 17–21 are used to extract deep learning feature embeddings for dimension reduction and data exploration.
Drug Olaparib Selleck S1060, supplied by Selleck Chemicals, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/drug olaparib selleck s1060/product/Selleck Chemicals
Average 96 stars, based on 1 article reviews
drug olaparib selleck s1060 - by Bioz Stars, 2026-05
96/100 stars
  Buy from Supplier
drug veliparib selleck s1004  (Selleck Chemicals)
95
Selleck Chemicals drug veliparib selleck s1004
Fig. 2 | The overall workflow of the Deepometry procedure. Step 1 (not shown here) guides users through the installation of the software and packages required to run Deepometry (Python/MATLAB, option A or B) or installation of the <t>standalone</t> application (MATLAB, option C). The application of Deepometry to image data analysis starts with Step 2. Steps 2 and 3, 6–8 and 12 and 13 are preprocessing actions for the training set, validation set and testing set, respectively, served to transform raw input images to data types and shapes appropriate for deep learning operations. Steps 4 and 5 are model training actions (highlighted in red). Steps 9–11 and 14–16 are predicting mechanisms for annotated data (highlighted in cyan) and unannotated data (highlighted in purple), respectively. Steps 17–21 are used to extract deep learning feature embeddings for dimension reduction and data exploration.
Drug Veliparib Selleck S1004, supplied by Selleck Chemicals, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/drug veliparib selleck s1004/product/Selleck Chemicals
Average 95 stars, based on 1 article reviews
drug veliparib selleck s1004 - by Bioz Stars, 2026-05
95/100 stars
  Buy from Supplier
drug niraparib selleck s2741  (Selleck Chemicals)
96
Selleck Chemicals drug niraparib selleck s2741
Fig. 2 | The overall workflow of the Deepometry procedure. Step 1 (not shown here) guides users through the installation of the software and packages required to run Deepometry (Python/MATLAB, option A or B) or installation of the <t>standalone</t> application (MATLAB, option C). The application of Deepometry to image data analysis starts with Step 2. Steps 2 and 3, 6–8 and 12 and 13 are preprocessing actions for the training set, validation set and testing set, respectively, served to transform raw input images to data types and shapes appropriate for deep learning operations. Steps 4 and 5 are model training actions (highlighted in red). Steps 9–11 and 14–16 are predicting mechanisms for annotated data (highlighted in cyan) and unannotated data (highlighted in purple), respectively. Steps 17–21 are used to extract deep learning feature embeddings for dimension reduction and data exploration.
Drug Niraparib Selleck S2741, supplied by Selleck Chemicals, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/drug niraparib selleck s2741/product/Selleck Chemicals
Average 96 stars, based on 1 article reviews
drug niraparib selleck s2741 - by Bioz Stars, 2026-05
96/100 stars
  Buy from Supplier
coliquifilm  (Allergan)
90
Allergan coliquifilm
Fig. 2 | The overall workflow of the Deepometry procedure. Step 1 (not shown here) guides users through the installation of the software and packages required to run Deepometry (Python/MATLAB, option A or B) or installation of the <t>standalone</t> application (MATLAB, option C). The application of Deepometry to image data analysis starts with Step 2. Steps 2 and 3, 6–8 and 12 and 13 are preprocessing actions for the training set, validation set and testing set, respectively, served to transform raw input images to data types and shapes appropriate for deep learning operations. Steps 4 and 5 are model training actions (highlighted in red). Steps 9–11 and 14–16 are predicting mechanisms for annotated data (highlighted in cyan) and unannotated data (highlighted in purple), respectively. Steps 17–21 are used to extract deep learning feature embeddings for dimension reduction and data exploration.
Coliquifilm, supplied by Allergan, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/coliquifilm/product/Allergan
Average 90 stars, based on 1 article reviews
coliquifilm - by Bioz Stars, 2026-05
90/100 stars
  Buy from Supplier

Image Search Results


Fig. 2 | The overall workflow of the Deepometry procedure. Step 1 (not shown here) guides users through the installation of the software and packages required to run Deepometry (Python/MATLAB, option A or B) or installation of the standalone application (MATLAB, option C). The application of Deepometry to image data analysis starts with Step 2. Steps 2 and 3, 6–8 and 12 and 13 are preprocessing actions for the training set, validation set and testing set, respectively, served to transform raw input images to data types and shapes appropriate for deep learning operations. Steps 4 and 5 are model training actions (highlighted in red). Steps 9–11 and 14–16 are predicting mechanisms for annotated data (highlighted in cyan) and unannotated data (highlighted in purple), respectively. Steps 17–21 are used to extract deep learning feature embeddings for dimension reduction and data exploration.

Journal: Nature Protocols

Article Title: Deepometry, a framework for applying supervised and weakly supervised deep learning to imaging cytometry

doi: 10.1038/s41596-021-00549-7

Figure Lengend Snippet: Fig. 2 | The overall workflow of the Deepometry procedure. Step 1 (not shown here) guides users through the installation of the software and packages required to run Deepometry (Python/MATLAB, option A or B) or installation of the standalone application (MATLAB, option C). The application of Deepometry to image data analysis starts with Step 2. Steps 2 and 3, 6–8 and 12 and 13 are preprocessing actions for the training set, validation set and testing set, respectively, served to transform raw input images to data types and shapes appropriate for deep learning operations. Steps 4 and 5 are model training actions (highlighted in red). Steps 9–11 and 14–16 are predicting mechanisms for annotated data (highlighted in cyan) and unannotated data (highlighted in purple), respectively. Steps 17–21 are used to extract deep learning feature embeddings for dimension reduction and data exploration.

Article Snippet: Essential packages for the Python environment (see more details and download sites in the installation guide in Supplementary Note 1): ● Python 3.6 ● Tensorflow-gpu 1.9.0 ● Keras 2.1.5 ● Numpy 1.18.1 ● Scipy 1.4.1 ● Keras-resnet 0.0.7 ● Java Development Kit 8.0/11.0 ● Python-bioformats 1.5.2 ● Jupyter notebook Essential packages for the MATLAB environment (see more details and download sites in the installation guide in Supplementary Note 2): ● Image processing toolbox ● Deep Learning Toolbox Standalone application (the details and download sites are given in the installation guide in Supplementary Note 3)

Techniques: Software, Biomarker Discovery