iTRADE: image-based TRAnsfer learning for Drug Effects This dataset supports Berker et al. (2022) IEEE Trans Med Imaging, https://doi.org/10.1109/TMI.2022.3205554. It comprises microscopy images,
This is one of five imaging datasets to compare mtDNA mutant cell lines with isogenic wild-type cell lines by mtFociCounter. Images are Spinning Disk Confocal Images of unsorted 3t3 N
Example dataset of human induced pluripotent stem cells, imaged at 40x magnification with a Yokogawa CV7000. This is a small subset of the input data for the cardiac differentiation dataset to be publ
