Unique data purification technology for neural networks training
(Left) A “map” of the microarray with numbers indicating spots of IgG against corresponding CD antigens; mIgG indicates the negative control; (middle left) the whole microarray with captured normal PBMC after May-Grünwald-Giemsa staining; (middle right and right) the anti-CD45-bound normal PBMC at different magnifications.
We use anti-CD antibody microarray sorting technology that allows to purify training data and leads to the highest accuracy of our deep learning models. Read more about the microarray technology in our Nature article.
