https://www.selleckchem.com/Bcl-2.html
Digital microscopy systems are beginning to replace traditional light microscopes for morphologic analysis of blood films, but these are geographically restricted to individual computers and technically limited by manufacturer's constraints. We explored the use of a scanner-agnostic web-based artificial intelligence (AI) system to assess the accuracy of white blood cell (WBC) differentials and blast identification in haematological malignancies. Digitized images of 20 normal and 124 abnormal peripheral blood films were uploaded to the web-based pl