Revolutionizing the way to classify and generate unique cell types

Labor-intense immunofluorescent image staining can be replaced with efficient and accurate Deep learning CNN algorithm for automated cell classification based on cell morphology

StemImage helps researchers to analyze variety of cell types using simple brightfield cell images. We are creating the world’s first neural network model for artificial stem cell staining of various cell surface pluripotency markers that allows for robust, unbiased, and scalable cell classification.

Our CNN algorithm also provides automated measurements of multiple cell features that will be beneficial for statistical analysis