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Data for: A strategy to quantify myofibroblast activation on a continuous spectrum
Data for: A strategy to quantify myofibroblast activation on a continuous spectrum
Aug 1, 2022
Hillsley, Alexander, 2022, "Data for: A strategy to quantify myofibroblast activation on a continuous spectrum", https://doi.org/10.18738/T8/SDMFU3, Texas Data Repository, V1
4 channel images of cells used in the manuscript channel 1: F-Actin channel 2: alpha smooth muscle actin channel 3: DAPI channel 4: Phase-contrast
Data for: A Deep Learning Approach to Identify and Segment α-Smooth Muscle Actin Stress Fiber Positive Cells
Data for: A Deep Learning Approach to Identify and Segment α-Smooth Muscle Actin Stress Fiber Positive Cells
Aug 26, 2021
Hillsley, Alexander, 2021, "Data for: A Deep Learning Approach to Identify and Segment α-Smooth Muscle Actin Stress Fiber Positive Cells", https://doi.org/10.18738/T8/LRWTYJ, Texas Data Repository, V1
Training and test datasets for the deep learning model created in: A Deep Learning Approach to Identify and Segment α-Smooth Muscle Actin Stress Fiber Positive Cells. Contains 300, 3 channel training images (red: F-actin, green: a-SMA, blue: DAPI), rgb composite images, and segme...
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