P.KAM-240227-V1_Image-Aquisiton-CNN.docx; Version 1
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Image Aquisiton-CNN.docx
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Created: 5th Mar 2024 at 19:06
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Version 1 (earliest) Created 5th Mar 2024 at 19:06 by Charles Demurjian
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Projects: Hi-IMPAcTB, MIT SRP, MetNet, Endometriosis, Cancer Systems Biology Consortium (CSBC)
Institutions: Massachusetts Institute of Technology
Programme: Metastasis Network
Public web page: Not specified
Submitter: Charles Demurjian
Studies: Impact of fibrinogen, fibrin thrombi and thrombin on cancer cell extrava..., Personalized Vascularized Models of Breast Cancer Desmoplasia Reveal Bio..., Utilizing convolutional neural networks for discriminating cancer and st...
Assays: Cancer Cell Extravasation Analysis - Data Linked, Cell Culture and Tumor Spheroid Creation - Metadata, Clot Modeling Analysis - Data Linked, Convolutional Neural Network - Data Linked, Device Creation - Metadata, Device Creation - Metadata, Device Imaging - Data Linked, Device Imaging - Data Linked, Device Imaging - Metadata, Flow Cytometry - Data Linked, Flow Cytometry Analysis - Data Linked, Imaging Analysis - Data Attached, Microfluidic Device Creation - Metadata, Permeability Analysis - Data Linked, Tumoroid Formation - Metadata
Huu Tuan Nguyen, Nicholas Pietraszek, Sarah E. Shelton, Kwabena Arthur, Roger D. Kamm
Link to Paper:
Abstract: Significance: Accurate cell segmentation and classification in 3 dimensional (3D) images are vital for studying live cell behavior and drug responses in 3D tissue culture. Evaluating diverse cell populations in 3D cell culture over time necessitates non-toxic staining methods, as specific fluorescence tags may not be suitable and immunofluorescence ...
Submitter: Charles Demurjian
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: MetNet
