Deep learning classification of lipid droplets in quantitative phase images

RT @phioptics: Researchers have developed a 99% accurate machine learning approach for the automated classification of lipid droplets in la…

Researchers have developed a 99% accurate machine learning approach for the automated classification of lipid droplets in label-free quantitative-phase images created by SLIM. Read more on the science https://t.co/wmOyyu0fJw Visit https://t.co/fXx7GVLv…

RT @IBEST_UI: @nwknowledgenet Director Luke Sheneman, Associate Prof of Physics Andreas Vasdekis, and @MITChemE Prof Gregory Stephanopoulos…

@nwknowledgenet Director Luke Sheneman, Associate Prof of Physics Andreas Vasdekis, and @MITChemE Prof Gregory Stephanopoulos combine QPI and #DeepLearning to perform accurate and non-invasive subcellular imaging in their new paper in @PLOSONE. https://…