This　paper　focuses　on　the　adaptive　output　feedback　tracking　control　of　uncertain　nonlinear　systems　with　both　quantized　input　and　output.　The　only　available　signal　is　the　non-differentiable　quantized　output,　which　makes　the　adaptive　quantized　controller　hard　to　achieve　via　output　feedback.　Our　research　shows　that　this　difficulty　can　be　circumvented　by　utilizing　the　well　known　dynamic　surface　control　(DSC)　technique　and　introducing　extra　continuous　virtual　control　signals　for　stability　analysis　only.　Furthermore,　it　is　proved　that　all　the　closed-loop　system　signals　are　bounded,　and　the　tracking　error　can　converge　to　a　small　residual　set　by　adjusting　some　design　parameters　appropriately.　Simulation　results　are　given　to　demonstrate　the　effectiveness　of　the　proposed　approach.　©　2023　IEEE.